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The Most Important Research Skills (With Examples)

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Research skills are the ability to find out accurate information on a topic. They include being able to determine the data you need, find and interpret those findings, and then explain that to others. Being able to do effective research is a beneficial skill in any profession, as data and research inform how businesses operate. Whether you’re unsure of your research skills or are looking for ways to further improve them, then this article will cover important research skills and how to become even better at research. Key Takeaways Having strong research skills can help you understand your competitors, develop new processes, and build your professional skills in addition to aiding you in finding new customers and saving your company money. Some of the most valuable research skills you can have include goal setting, data collection, and analyzing information from multiple sources. You can and should put your research skills on your resume and highlight them in your job interviews. In This Article    Skip to section What are research skills? Why are research skills important? 12 of the most important research skills How to improve your research skills Highlighting your research skills in a job interview How to include research skills on your resume Resume examples showcasing research skills Research skills FAQs References Sign Up For More Advice and Jobs Show More What are research skills?

Research skills are the necessary tools to be able to find, compile, and interpret information in order to answer a question. Of course, there are several aspects to this. Researchers typically have to decide how to go about researching a problem — which for most people is internet research.

In addition, you need to be able to interpret the reliability of a source, put the information you find together in an organized and logical way, and be able to present your findings to others. That means that they’re comprised of both hard skills — knowing your subject and what’s true and what isn’t — and soft skills. You need to be able to interpret sources and communicate clearly.

Why are research skills important?

Research skills are useful in any industry, and have applications in innovation, product development, competitor research, and many other areas. In addition, the skills used in researching aren’t only useful for research. Being able to interpret information is a necessary skill, as is being able to clearly explain your reasoning.

Research skills are used to:

Do competitor research. Knowing what your biggest competitors are up to is an essential part of any business. Researching what works for your competitors, what they’re doing better than you, and where you can improve your standing with the lowest resource expenditure are all essential if a company wants to remain functional.

Develop new processes and products. You don’t have to be involved in research and development to make improvements in how your team gets things done. Researching new processes that make your job (and those of your team) more efficient will be valued by any sensible employer.

Foster self-improvement. Folks who have a knack and passion for research are never content with doing things the same way they’ve always been done. Organizations need independent thinkers who will seek out their own answers and improve their skills as a matter of course. These employees will also pick up new technologies more easily.

Manage customer relationships. Being able to conduct research on your customer base is positively vital in virtually every industry. It’s hard to move products or sell services if you don’t know what people are interested in. Researching your customer base’s interests, needs, and pain points is a valuable responsibility.

Save money. Whether your company is launching a new product or just looking for ways to scale back its current spending, research is crucial for finding wasted resources and redirecting them to more deserving ends. Anyone who proactively researches ways that the company can save money will be highly appreciated by their employer.

Solve problems. Problem solving is a major part of a lot of careers, and research skills are instrumental in making sure your solution is effective. Finding out the cause of the problem and determining an effective solution both require accurate information, and research is the best way to obtain that — be it via the internet or by observation.

Determine reliable information. Being able to tell whether or not the information you receive seems accurate is a very valuable skill. While research skills won’t always guarantee that you’ll be able to tell the reliability of the information at first glance, it’ll prevent you from being too trusting. And it’ll give the tools to double-check .

12 of the most important research skills

Experienced researchers know that worthwhile investigation involves a variety of skills. Consider which research skills come naturally to you, and which you could work on more.

Data collection . When thinking about the research process, data collection is often the first thing that comes to mind. It is the nuts and bolts of research. How data is collected can be flexible.

For some purposes, simply gathering facts and information on the internet can fulfill your need. Others may require more direct and crowd-sourced research. Having experience in various methods of data collection can make your resume more impressive to recruiters.

Data collection methods include: Observation Interviews Questionnaires Experimentation Conducting focus groups

Analysis of information from different sources. Putting all your eggs in one source basket usually results in error and disappointment. One of the skills that good researchers always incorporate into their process is an abundance of sources. It’s also best practice to consider the reliability of these sources.

Are you reading about U.S. history on a conspiracy theorist’s blog post? Taking facts for a presentation from an anonymous Twitter account?

If you can’t determine the validity of the sources you’re using, it can compromise all of your research. That doesn’t mean just disregard anything on the internet but double-check your findings. In fact, quadruple-check. You can make your research even stronger by turning to references outside of the internet.

Examples of reliable information sources include: Published books Encyclopedias Magazines Databases Scholarly journals Newspapers Library catalogs

Finding information on the internet. While it can be beneficial to consulate alternative sources, strong internet research skills drive modern-day research.

One of the great things about the internet is how much information it contains, however, this comes with digging through a lot of garbage to get to the facts you need. The ability to efficiently use the vast database of knowledge that is on the internet without getting lost in the junk is very valuable to employers.

Internet research skills include: Source checking Searching relevant questions Exploring deeper than the first options Avoiding distraction Giving credit Organizing findings

Interviewing. Some research endeavors may require a more hands-on approach than just consulting internet sources. Being prepared with strong interviewing skills can be very helpful in the research process.

Interviews can be a useful research tactic to gain first-hand information and being able to manage a successful interview can greatly improve your research skills.

Interviewing skills involves: A plan of action Specific, pointed questions Respectfulness Considering the interview setting Actively Listening Taking notes Gratitude for participation

Report writing. Possessing skills in report writing can assist you in job and scholarly research. The overall purpose of a report in any context is to convey particular information to its audience.

Effective report writing is largely dependent on communication. Your boss, professor , or general reader should walk away completely understanding your findings and conclusions.

Report writing skills involve: Proper format Including a summary Focusing on your initial goal Creating an outline Proofreading Directness

Critical thinking. Critical thinking skills can aid you greatly throughout the research process, and as an employee in general. Critical thinking refers to your data analysis skills. When you’re in the throes of research, you need to be able to analyze your results and make logical decisions about your findings.

Critical thinking skills involve: Observation Analysis Assessing issues Problem-solving Creativity Communication

Planning and scheduling. Research is a work project like any other, and that means it requires a little forethought before starting. Creating a detailed outline map for the points you want to touch on in your research produces more organized results.

It also makes it much easier to manage your time. Planning and scheduling skills are important to employers because they indicate a prepared employee.

Planning and scheduling skills include: Setting objectives Identifying tasks Prioritizing Delegating if needed Vision Communication Clarity Time-management

Note-taking. Research involves sifting through and taking in lots of information. Taking exhaustive notes ensures that you will not neglect any findings later and allows you to communicate these results to your co-workers. Being able to take good notes helps summarize research.

Examples of note-taking skills include: Focus Organization Using short-hand Keeping your objective in mind Neatness Highlighting important points Reviewing notes afterward

Communication skills. Effective research requires being able to understand and process the information you receive, either written or spoken. That means that you need strong reading comprehension and writing skills — two major aspects of communication — as well as excellent listening skills.

Most research also involves showcasing your findings. This can be via a presentation. , report, chart, or Q&A. Whatever the case, you need to be able to communicate your findings in a way that educates your audience.

Communication skills include: Reading comprehension Writing Listening skills Presenting to an audience Creating graphs or charts Explaining in layman’s terms

Time management. We’re, unfortunately, only given 24 measly hours in a day. The ability to effectively manage this time is extremely powerful in a professional context. Hiring managers seek candidates who can accomplish goals in a given timeframe.

Strong time management skills mean that you can organize a plan for how to break down larger tasks in a project and complete them by a deadline. Developing your time management skills can greatly improve the productivity of your research.

Time management skills include: Scheduling Creating task outlines Strategic thinking Stress-management Delegation Communication Utilizing resources Setting realistic expectations Meeting deadlines

Using your network. While this doesn’t seem immediately relevant to research skills, remember that there are a lot of experts out there. Knowing what people’s areas of expertise and asking for help can be tremendously beneficial — especially if it’s a subject you’re unfamiliar with.

Your coworkers are going to have different areas of expertise than you do, and your network of people will as well. You may even know someone who knows someone who’s knowledgeable in the area you’re researching. Most people are happy to share their expertise, as it’s usually also an area of interest to them.

Networking involves: Remembering people’s areas of expertise Being willing to ask for help Communication Returning favors Making use of advice Asking for specific assistance

Attention to detail. Research is inherently precise. That means that you need to be attentive to the details, both in terms of the information you’re gathering, but also in where you got it from. Making errors in statistics can have a major impact on the interpretation of the data, not to mention that it’ll reflect poorly on you.

There are proper procedures for citing sources that you should follow. That means that your sources will be properly credited, preventing accusations of plagiarism. In addition, it means that others can make use of your research by returning to the original sources.

Attention to detail includes: Double checking statistics Taking notes Keeping track of your sources Staying organized Making sure graphs are accurate and representative Properly citing sources

How to improve your research skills

As with many professional skills, research skills serve us in our day to day life. Any time you search for information on the internet, you’re doing research. That means that you’re practicing it outside of work as well. If you want to continue improving your research skills, both for professional and personal use, here are some tips to try.

Differentiate between source quality. A researcher is only as good as their worst source. Start paying attention to the quality of the sources you use, and be suspicious of everything your read until you check out the attributions and works cited.

Be critical and ask yourself about the author’s bias, where the author’s research aligns with the larger body of verified research in the field, and what publication sponsored or published the research.

Use multiple resources. When you can verify information from a multitude of sources, it becomes more and more credible. To bolster your faith in one source, see if you can find another source that agrees with it.

Don’t fall victim to confirmation bias. Confirmation bias is when a researcher expects a certain outcome and then goes to find data that supports this hypothesis. It can even go so far as disregarding anything that challenges the researcher’s initial hunch. Be prepared for surprising answers and keep an open mind.

Be open to the idea that you might not find a definitive answer. It’s best to be honest and say that you found no definitive answer instead of just confirming what you think your boss or coworkers expect or want to hear. Experts and good researchers are willing to say that they don’t know.

Stay organized. Being able to cite sources accurately and present all your findings is just as important as conducting the research itself. Start practicing good organizational skills , both on your devices and for any physical products you’re using.

Get specific as you go. There’s nothing wrong with starting your research in a general way. After all, it’s important to become familiar with the terminology and basic gist of the researcher’s findings before you dig down into all the minutia.

Highlighting your research skills in a job interview

A job interview is itself a test of your research skills. You can expect questions on what you know about the company, the role, and your field or industry more generally. In order to give expert answers on all these topics, research is crucial.

Start by researching the company . Look into how they communicate with the public through social media, what their mission statement is, and how they describe their culture.

Pay close attention to the tone of their website. Is it hyper professional or more casual and fun-loving? All of these elements will help decide how best to sell yourself at the interview.

Next, research the role. Go beyond the job description and reach out to current employees working at your desired company and in your potential department. If you can find out what specific problems your future team is or will be facing, you’re sure to impress hiring managers and recruiters with your ability to research all the facts.

Finally, take time to research the job responsibilities you’re not as comfortable with. If you’re applying for a job that represents increased difficulty or entirely new tasks, it helps to come into the interview with at least a basic knowledge of what you’ll need to learn.

How to include research skills on your resume

Research projects require dedication. Being committed is a valuable skill for hiring managers. Whether you’ve had research experience throughout education or a former job, including it properly can boost the success of your resume .

Consider how extensive your research background is. If you’ve worked on multiple, in-depth research projects, it might be best to include it as its own section. If you have less research experience, include it in the skills section .

Focus on your specific role in the research, as opposed to just the research itself. Try to quantify accomplishments to the best of your abilities. If you were put in charge of competitor research, for example, list that as one of the tasks you had in your career.

If it was a particular project, such as tracking the sale of women’s clothing at a tee-shirt company, you can say that you “directed analysis into women’s clothing sales statistics for a market research project.”

Ascertain how directly research skills relate to the job you’re applying for. How strongly you highlight your research skills should depend on the nature of the job the resume is for. If research looks to be a strong component of it, then showcase all of your experience.

If research looks to be tangential, then be sure to mention it — it’s a valuable skill — but don’t put it front and center.

Resume examples showcasing research skills

Example #1: Academic Research

Simon Marks 767 Brighton Blvd. | Brooklyn, NY, 27368 | (683)-262-8883 | [email protected] Diligent and hardworking recent graduate seeking a position to develop professional experience and utilize research skills. B.A. in Biological Sciences from New York University. PROFESSIONAL EXPERIENCE Lixus Publishing , Brooklyn, NY Office Assistant- September 2018-present Scheduling and updating meetings Managing emails and phone calls Reading entries Worked on a science fiction campaign by researching target demographic Organizing calendars Promoted to office assistant after one year internship Mitch’s Burgers and Fries , Brooklyn, NY Restaurant Manager , June 2014-June 2018 Managed a team of five employees Responsible for coordinating the weekly schedule Hired and trained two employees Kept track of inventory Dealt with vendors Provided customer service Promoted to restaurant manager after two years as a waiter Awarded a $2.00/hr wage increase SKILLS Writing Scientific Research Data analysis Critical thinking Planning Communication RESEARCH Worked on an ecosystem biology project with responsibilities for algae collection and research (2019) Lead a group of freshmen in a research project looking into cell biology (2018) EDUCATION New York University Bachelors in Biological Sciences, September 2016-May 2020

Example #2: Professional Research

Angela Nichols 1111 Keller Dr. | San Francisco, CA | (663)-124-8827 |[email protected] Experienced and enthusiastic marketer with 7 years of professional experience. Seeking a position to apply my marketing and research knowledge. Skills in working on a team and flexibility. EXPERIENCE Apples amp; Oranges Marketing, San Francisco, CA Associate Marketer – April 2017-May 2020 Discuss marketing goals with clients Provide customer service Lead campaigns associated with women’s health Coordinating with a marketing team Quickly solving issues in service and managing conflict Awarded with two raises totaling $10,000 over three years Prestigious Marketing Company, San Francisco, CA Marketer – May 2014-April 2017 Working directly with clients Conducting market research into television streaming preferences Developing marketing campaigns related to television streaming services Report writing Analyzing campaign success statistics Promoted to Marketer from Junior Marketer after the first year Timberlake Public Relations, San Francisco, CA Public Relations Intern – September 2013–May 2014 Working cohesively with a large group of co-workers and supervisors Note-taking during meetings Running errands Managing email accounts Assisting in brainstorming Meeting work deadlines EDUCATION Golden Gate University, San Francisco, CA Bachelor of Arts in Marketing with a minor in Communications – September 2009 – May 2013 SKILLS Marketing Market research Record-keeping Teamwork Presentation. Flexibility

Research skills FAQs

What research skills are important?

Goal-setting and data collection are important research skills. Additional important research skills include:

Using different sources to analyze information.

Finding information on the internet.

Interviewing sources.

Writing reports.

Critical thinking.

Planning and scheduling.

Note-taking.

Managing time.

How do you develop good research skills?

You develop good research skills by learning how to find information from multiple high-quality sources, by being wary of confirmation bias, and by starting broad and getting more specific as you go.

When you learn how to tell a reliable source from an unreliable one and get in the habit of finding multiple sources that back up a claim, you’ll have better quality research.

In addition, when you learn how to keep an open mind about what you’ll find, you’ll avoid falling into the trap of confirmation bias, and by staying organized and narrowing your focus as you go (rather than before you start), you’ll be able to gather quality information more efficiently.

What is the importance of research?

The importance of research is that it informs most decisions and strategies in a business. Whether it’s deciding which products to offer or creating a marketing strategy, research should be used in every part of a company.

Because of this, employers want employees who have strong research skills. They know that you’ll be able to put them to work bettering yourself and the organization as a whole.

Should you put research skills on your resume?

Yes, you should include research skills on your resume as they are an important professional skill. Where you include your research skills on your resume will depend on whether you have a lot of experience in research from a previous job or as part of getting your degree, or if you’ve just cultivated them on your own.

If your research skills are based on experience, you could put them down under the tasks you were expected to perform at the job in question. If not, then you should likely list it in your skills section.

University of the People – The Best Research Skills for Success

Association of Internet Research Specialists — What are Research Skills and Why Are They Important?

MasterClass — How to Improve Your Research Skills: 6 Research Tips

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Sky Ariella is a professional freelance writer, originally from New York. She has been featured on websites and online magazines covering topics in career, travel, and lifestyle. She received her BA in psychology from Hunter College.

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What are research skills?

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26 April 2023

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Broadly, it includes a range of talents required to:

Find useful information

Perform critical analysis

Form hypotheses

Solve problems

It also includes processes such as time management, communication, and reporting skills to achieve those ends.

Research requires a blend of conceptual and detail-oriented modes of thinking. It tests one's ability to transition between subjective motivations and objective assessments to ensure only correct data fits into a meaningfully useful framework.

As countless fields increasingly rely on data management and analysis, polishing your research skills is an important, near-universal way to improve your potential of getting hired and advancing in your career.

Make research less tedious

Dovetail streamlines research to help you uncover and share actionable insights

What are basic research skills?

Almost any research involves some proportion of the following fundamental skills:

Organization

Decision-making

Investigation and analysis

Creative thinking

What are primary research skills?

The following are some of the most universally important research skills that will help you in a wide range of positions:

Time management — From planning and organization to task prioritization and deadline management, time-management skills are highly in-demand workplace skills.

Problem-solving — Identifying issues, their causes, and key solutions are another essential suite of research skills.

Critical thinking — The ability to make connections between data points with clear reasoning is essential to navigate data and extract what's useful towards the original objective.

Communication — In any collaborative environment, team-building and active listening will help researchers convey findings more effectively through data summarizations and report writing.

What are the most important skills in research?

Detail-oriented procedures are essential to research, which allow researchers and their audience to probe deeper into a subject and make connections they otherwise may have missed with generic overviews.

Maintaining priorities is also essential so that details fit within an overarching strategy. Lastly, decision-making is crucial because that's the only way research is translated into meaningful action.

• Why are research skills important?

Good research skills are crucial to learning more about a subject, then using that knowledge to improve an organization's capabilities. Synthesizing that research and conveying it clearly is also important, as employees seek to share useful insights and inspire effective actions.

Effective research skills are essential for those seeking to:

Analyze their target market

Investigate industry trends

Identify customer needs

Detect obstacles

Find solutions to those obstacles

Develop new products or services

Develop new, adaptive ways to meet demands

Discover more efficient ways of acquiring or using resources

Why do we need research skills?

Businesses and individuals alike need research skills to clarify their role in the marketplace, which of course, requires clarity on the market in which they function in. High-quality research helps people stay better prepared for challenges by identifying key factors involved in their day-to-day operations, along with those that might play a significant role in future goals.

• Benefits of having research skills

Research skills increase the effectiveness of any role that's dependent on information. Both individually and organization-wide, good research simplifies what can otherwise be unwieldy amounts of data. It can help maintain order by organizing information and improving efficiency, both of which set the stage for improved revenue growth.

Those with highly effective research skills can help reveal both:

Opportunities for improvement

Brand-new or previously unseen opportunities

Research skills can then help identify how to best take advantage of available opportunities. With today's increasingly data-driven economy, it will also increase your potential of getting hired and help position organizations as thought leaders in their marketplace.

• Research skills examples

Being necessarily broad, research skills encompass many sub-categories of skillsets required to extrapolate meaning and direction from dense informational resources. Identifying, interpreting, and applying research are several such subcategories—but to be specific, workplaces of almost any type have some need of:

Searching for information

Attention to detail

Taking notes

Problem-solving

Communicating results

Time management

• How to improve your research skills

Whether your research goals are to learn more about a subject or enhance workflows, you can improve research skills with this failsafe, four-step strategy:

Make an outline, and set your intention(s)

Know your sources

Learn to use advanced search techniques

Practice, practice, practice (and don't be afraid to adjust your approach)

These steps could manifest themselves in many ways, but what's most important is that it results in measurable progress toward the original goals that compelled you to research a subject.

• Using research skills at work

Different research skills will be emphasized over others, depending on the nature of your trade. To use research most effectively, concentrate on improving research skills most relevant to your position—or, if working solo, the skills most likely have the strongest impact on your goals.

You might divide the necessary research skills into categories for short, medium, and long-term goals or according to each activity your position requires. That way, when a challenge arises in your workflow, it's clearer which specific research skill requires dedicated attention.

How can I learn research skills?

Learning research skills can be done with a simple three-point framework:

Clarify the objective — Before delving into potentially overwhelming amounts of data, take a moment to define the purpose of your research. If at any point you lose sight of the original objective, take another moment to ask how you could adjust your approach to better fit the original objective.

Scrutinize sources — Cross-reference data with other sources, paying close attention to each author's credentials and motivations.

Organize research — Establish and continually refine a data-organization system that works for you. This could be an index of resources or compiling data under different categories designed for easy access.

Which careers require research skills?

Especially in today's world, most careers require some, if not extensive, research. Developers, marketers, and others dealing in primarily digital properties especially require extensive research skills—but it's just as important in building and manufacturing industries, where research is crucial to construct products correctly and safely.

Engineering, legal, medical, and literally any other specialized field will require excellent research skills. Truly, almost any career path will involve some level of research skills; and even those requiring only minimal research skills will at least require research to find and compare open positions in the first place.

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10 Research Skills and How To Develop Them

• Updated December 25, 2023
• Published August 8, 2023

Are you looking to learn more about Research skills? In this article, we discuss Research skills in more detail and give you tips about how you can develop and improve them.

What are Research skills?

Research skills refer to the ability to effectively and efficiently gather, analyze, and synthesize information to answer questions, solve problems, or contribute to a body of knowledge. These skills are essential for various fields and disciplines, ranging from academic and scientific research to business, journalism, and beyond. Effective research skills involve several key components:

Information Retrieval

Source evaluation.

• Critical Thinking

Data Analysis

Problem formulation, organization and note-taking, synthesis and writing, ethical considerations, time management.

• Adaptability

Top 10 Research Skills

Below we discuss the top 10 Research skills. Each skill is discussed in more detail, and we will also give you tips on improving them.

Information Retrieval is all about mastering the art of finding relevant and credible sources of information to support your research goals. This skill involves using various online and offline tools to locate the data, articles, studies, and materials that are most pertinent to your research topic. It’s like being a detective for knowledge – you’re trying to uncover valuable insights that will contribute to your research project.

To excel in Information Retrieval, you must become adept at effectively using search engines, databases, libraries, and other resources. It’s not just about typing keywords into a search bar; it’s about understanding how to refine your searches, use advanced search operators, and explore different databases and sources.

You’ll need to evaluate the quality and reliability of sources to ensure that the information you gather is trustworthy and accurate. This skill also requires critical thinking, as you’ll need to assess the relevance of sources to your research objectives.

How to Improve Information Retrieval

Improving your Information Retrieval skills involves a combination of practice, strategy, and awareness. Start by familiarizing yourself with different research databases and libraries relevant to your field. Experiment with various search terms and use advanced search operators to narrow down results. Take the time to evaluate the credibility of sources – look for peer-reviewed articles, authoritative authors, and reliable institutions. Keep track of your searches and results to refine your strategies over time.

Stay updated with the latest developments in search technology and research databases to optimize your information retrieval process. Remember, the more you practice and fine-tune your approach, the better you’ll become at uncovering valuable gems of information for your research endeavors.

Source Evaluation is about becoming a discerning judge of the information you encounter during your research journey. It involves assessing the credibility, reliability, and relevance of the sources you come across, ensuring that you’re building your work on a foundation of trustworthy and accurate information. Think of yourself as a gatekeeper, using only the most reliable and relevant sources to support your research.

You need to develop a critical eye to enhance your Source Evaluation skills. Begin by examining the authorship – who wrote the source, and what are their credentials? Peer-reviewed articles from established researchers are more reliable than anonymous blog posts. Consider the publication source – is it a reputable journal or website in your field?

Next, look for citations and references within the source – a well-researched work will often cite other credible sources. Additionally, evaluate the publication date – while older sources can provide historical context, ensure you’re using recent information for up-to-date insights.

How to Improve Source Evaluation

Improving your Source Evaluation skills requires a combination of awareness and practice. As you encounter new sources, ask questions about their credibility and relevance. Do evidence and references support the information? Does the author have any potential biases? Take advantage of critical thinking to analyze the source’s overall quality.

To further refine your skills, seek guidance from mentors, professors, or librarians who can provide valuable insights into evaluating sources. The more you engage with this skill, the better you’ll become at building a solid foundation for your research with credible and reliable materials.

Critical Thinking is the intellectual toolset that empowers you to analyze information objectively, discern patterns, and draw well-informed conclusions based on evidence. It’s like being a detective for ideas – you sift through data, identify biases, and unravel complexities to make informed judgments that drive your research forward with clarity and precision.

To hone your Critical Thinking skills, you need to cultivate a curious and analytical mindset. Start by questioning assumptions and biases in both your own thinking and the information you encounter.

When evaluating sources, consider multiple viewpoints and sources of evidence before forming conclusions. Develop the ability to identify logical fallacies or weak arguments that may distort the validity of your findings. Embrace open-mindedness and be willing to adapt your ideas when faced with compelling evidence that challenges your initial perspective.

How to Improve Critical Thinking

Improving your Critical Thinking skills requires practice and deliberate effort. Engage in discussions and debates within your field and beyond to expose yourself to diverse perspectives and sharpen your ability to analyze complex issues. Regularly challenge yourself to critically evaluate information, whether it’s a news article, a research paper, or a colleague’s argument.

Seek feedback from mentors or peers to refine your critical thinking process and identify areas for improvement. Remember, Critical Thinking is an ongoing journey that can be developed over time – the more you engage with it, the more adept you’ll become at navigating the intricate landscape of ideas in your research endeavors.

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Data Analysis is the art of processing, interpreting, and extracting meaningful insights from the raw information you’ve collected during your research journey. Think of it as deciphering a puzzle – you’re transforming numbers, observations, or qualitative data into a coherent narrative that answers your research questions and adds value to your work.

To excel in Data Analysis, you need to develop both quantitative and qualitative skills. For quantitative data, embrace statistical tools and techniques that help you identify trends, correlations, and patterns in your data sets. Practice using software like Excel, SPSS, or specialized tools for your field to perform statistical tests and visualize results effectively. For qualitative data, immerse yourself in the details, coding and categorizing themes to distill rich insights from textual or visual sources.

How to Improve Data Analysis

Improving your Data Analysis skills involves a combination of practice, learning, and refining your techniques. Start by immersing yourself in the basics of statistics and data analysis methodologies relevant to your research field. Engage in tutorials and online courses to familiarize yourself with various tools and software. As you analyze data, maintain clear documentation of your process and decisions, which will be crucial when presenting your findings.

Collaborate with peers or mentors who are experienced in data analysis to gain insights and feedback on your techniques. Remember, Data Analysis is about transforming data into knowledge – the more you engage with this skill, the better you’ll become at uncovering valuable insights that contribute to the depth and impact of your research.

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Problem Formulation is like setting the compass for your research journey – it involves defining clear and focused research questions or hypotheses that guide your entire investigation. Consider it the foundation of your work, as it shapes your approach, methods, and the ultimate impact of your research.

To master Problem Formulation, you need to become skilled in asking the right questions. Begin by thoroughly understanding the topic you’re exploring. What gaps or uncertainties do you notice in the existing knowledge? What specific aspect of the topic piques your interest? Craft research questions that are specific, measurable, achievable, relevant, and time-bound (SMART).

If you’re developing hypotheses, ensure they are testable and grounded in existing theories or observations. Your skills in Problem Formulation also extend to identifying the scope and boundaries of your research – understanding what you’re including and excluding from your study.

How to Improve Problem Formulation

Improving your Problem Formulation skills requires practice and iterative refinement. Start by conducting a comprehensive literature review to understand the existing research landscape in your area. This will help you identify potential gaps and formulate questions that build upon existing knowledge.

Discuss with peers, mentors, or experts in your field to gain different perspectives and insights into potential research problems. As you develop your skills, be open to revising and refining your research questions based on new information or insights. Remember, Problem Formulation is the compass that guides your research journey – the more you invest in crafting clear and well-defined questions, the more impactful and focused your research will be.

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Imagine these skills as your research toolkit for maintaining order amidst the vast sea of information you encounter. Organization involves structuring and managing your research materials, while Note-Taking ensures you capture valuable insights and details for future reference. Together, they help you stay on track and prevent valuable information from slipping through the cracks.

To excel in Organization and Note-Taking, you need to develop strategies that work best for you. Start by creating a systematic folder structure on your computer to store digital documents, articles, and data sets. For physical materials, consider using labeled folders or binders. As you gather information, employ tools like reference management software to keep track of your sources and generate citations efficiently.

Simultaneously, practice effective Note-Taking during your readings and research. Jot down key points, ideas, and relevant quotes in a structured format, whether you’re using a physical notebook or a digital note-taking app.

How to Improve Organization and Note-Taking

Improving your Organization and Note-Taking skills requires a mix of discipline and adaptability. Establish consistent routines for organizing research materials, updating folders, and managing citations. Regularly review and reorganize your notes to keep them relevant and accessible. Experiment with different note-taking techniques, such as outlining, summarizing, or mind mapping, to find the approach that aligns with your learning style.

Remember, Organization and Note-Taking are your allies in navigating the sea of information – the more you refine these skills, the smoother your research journey will become and the more confident you’ll be in tackling complex topics.

Synthesis and Writing are your means of weaving together the threads of information and insights you’ve collected into a coherent and impactful narrative. Think of it as crafting a masterpiece from the puzzle pieces of your research – you’re presenting your findings, analysis, and conclusions in a way that informs and engages your audience.

To excel in Synthesis and Writing, you must become a data and idea storyteller. Begin by outlining your research paper or report. Organize your findings logically, building a structured framework that guides your reader through your research journey. Ensure each section flows smoothly, connecting the dots between concepts and evidence. While writing, focus on clarity and conciseness – avoid jargon and convoluted language that may confuse your readers. Use effective transitions to guide them from one point to the next.

How to Improve Synthesis and Writing

Improving your Synthesis and Writing skills requires both practice and revision. Start by breaking down the writing process into manageable steps – drafting, revising, and editing. Give yourself time between drafting and revising to approach your work with fresh eyes. Critically evaluate your writing for clarity, coherence, and accuracy during revision.

Consider seeking feedback from peers, mentors, or writing centers to gain insights into improving your writing style. Study well-written papers in your field to observe how experienced researchers present their ideas effectively. Remember, Synthesis and Writing are your tools for communicating your research’s impact – the more you refine these skills, the more effectively you’ll share your discoveries and contribute to the body of knowledge in your field.

Ethical Considerations encompass the principles and guidelines that ensure your research is conducted with integrity, respect for participants’ rights, and a commitment to transparency. Think of it as the moral compass that guides your research journey, ensuring that your work upholds ethical standards and contributes positively to society.

To excel in Ethical Considerations, you need to become a guardian of ethical integrity in your research. Begin by understanding the ethical guidelines and regulations specific to your field and your research type. This involves respecting participants’ autonomy by obtaining informed consent, protecting their privacy and confidentiality, and ensuring they’re treated with dignity. Additionally, uphold intellectual honesty by properly attributing sources, avoiding plagiarism, and disclosing any potential conflicts of interest.

How to Improve Ethical Considerations

Improving your Ethical Considerations skills involves a combination of awareness and vigilance. Regularly educate yourself on the ethical codes and regulations relevant to your field and research methods. When designing your research, carefully plan how you will address ethical concerns and potential risks.

As you conduct your research, stay attuned to any ethical dilemmas that may arise and be prepared to address them appropriately. Remember, Ethical Considerations are at the heart of responsible research – the more you cultivate these skills, the more your work will contribute positively to both your field and society as a whole.

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Time Management involves the art of effectively allocating your time to different research tasks, ensuring that you meet deadlines, stay on track, and maintain a balanced workflow. Think of it as your compass for navigating the often-intricate landscape of research – it helps you stay organized, productive, and in control of your research journey.

To excel in Time Management, you need to become a master of planning and prioritization. Start by breaking down your research project into manageable tasks and setting realistic goals for each stage. Create a schedule that allocates research, data collection, analysis, writing, and revision time. Be mindful of your energy levels – tackle complex tasks during your most productive hours. Embrace tools like to-do lists, calendars, and time-tracking apps to keep yourself accountable and stay aware of your progress.

How to Improve Time Management

Improving your Time Management skills requires consistent practice and self-awareness. Continuously assess your progress against your planned schedule, adjusting as needed to accommodate unexpected challenges or new insights. Develop the skill of saying no to distractions and non-essential tasks that can derail your focus.

Break larger tasks into smaller, more manageable chunks to prevent feeling overwhelmed. Regularly reflect on your time allocation and efficiency – what strategies are working well, and where can you improve? Remember, Time Management is a skill that can significantly impact your research journey – the more you refine it, the more you’ll find yourself navigating your work with greater ease and achieving your research goals with greater success.

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Adaptability is the ability to flex and evolve in response to changing circumstances, unexpected findings, and new information that arise during your research journey. Think of it as your compass for navigating the dynamic and ever-changing landscape of research – it empowers you to embrace uncertainty and adjust your course to ensure the best outcomes for your work.

To excel in Adaptability, you need to cultivate a mindset that embraces change and seeks opportunities within challenges. Start by acknowledging that research is often full of surprises and plans might need to shift. Develop a sense of resilience by staying open to revising your research questions, altering methodologies, or exploring unanticipated angles.

Being adaptable also means being resourceful – finding alternative approaches when things don’t go as planned. Embrace feedback from peers, mentors, or unexpected results, and be ready to integrate this feedback to improve the quality of your research.

How to Improve Adaptability

Improving your Adaptability skills involves practicing flexibility and embracing a growth mindset. Regularly reassess your research plan and objectives in light of new information or developments. Embrace failures and setbacks as opportunities for learning and growth rather than roadblocks. Seek out interdisciplinary perspectives and engage with new ideas that challenge your assumptions.

As you navigate through unexpected turns, continuously reflect on what you’ve learned and how you’ve adapted, so you can refine your approach in the future. Remember, Adaptability is the key to thriving in the dynamic landscape of research – the more you foster this skill, the better equipped you’ll be to tackle unforeseen challenges and emerge stronger from your research journey.

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Research Skills Conclusion

In the pursuit of knowledge and discovery, honing research skills is the linchpin that sets the stage for success. Throughout this exploration of various research skills and how to nurture them, one thing becomes evident: deliberate practice and continuous improvement are the bedrock of growth. Developing research skills is not merely a checkbox to mark; it’s a journey that empowers you to excel in your field, make meaningful contributions, and amplify the impact of your work.

Improving these skills isn’t just an option – it’s a necessity in today’s job market. The ability to gather information effectively, critically evaluate sources, analyze data, formulate problems, synthesize findings, and more, transforms the research process from a mere task into a dynamic and transformative experience. These skills serve as the pillars that uphold the credibility and validity of your work, ensuring that your contributions stand the test of scrutiny and time.

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Research Scientist Skills

Learn about the skills that will be most essential for Research Scientists in 2024.

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• What is a Research Scientist
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What Skills Does a Research Scientist Need?

Find the important skills for any job.

Types of Skills for Research Scientists

Critical thinking and problem-solving, technical proficiency and specialization, data analysis and computational skills, communication and dissemination, project management and organization, top hard skills for research scientists.

Empowering discovery through robust data analysis, cutting-edge experimentation, and interdisciplinary expertise in today's dynamic scientific landscape.

• Statistical Analysis and Modeling
• Experimental Design and Execution
• Data Mining and Machine Learning
• Scientific Writing and Publishing
• Advanced Mathematics
• Laboratory Techniques and Instrumentation
• Computer Programming and Simulation
• Big Data Analytics
• Research Project Management
• Domain-Specific Knowledge (e.g., Genomics, Neuroscience, Materials Science)

Top Soft Skills for Research Scientists

Fostering innovation through critical thinking, collaboration, and resilience, while leading with emotional intelligence and meticulous organization.

• Critical Thinking and Problem Solving
• Effective Communication
• Collaboration and Teamwork
• Adaptability and Flexibility
• Creativity and Innovation
• Time Management and Organization
• Attention to Detail
• Resilience and Perseverance
• Emotional Intelligence
• Leadership and Mentoring

Most Important Research Scientist Skills in 2024

Interdisciplinary collaboration, advanced data analysis and interpretation, scientific communication and public engagement, grant writing and fundraising acumen, problem-solving and critical thinking, technical proficiency in emerging technologies, project management and organizational skills, adaptability to scientific paradigm shifts.

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Research scientist skills by experience level, important skills for entry-level research scientists, important skills for mid-level research scientists, important skills for senior research scientists, most underrated skills for research scientists, 1. interdisciplinary knowledge, 2. intellectual curiosity, 3. resilience, how to demonstrate your skills as a research scientist in 2024, how you can upskill as a research scientist.

• Deepen Your Expertise with Specialized Courses: Enroll in advanced courses that focus on cutting-edge topics within your field to deepen your expertise and stay abreast of the latest scientific breakthroughs.
• Master Data Analysis and Statistical Software: Become proficient in the latest data analysis tools and software, such as R, Python, or specialized bioinformatics software, to enhance your research capabilities.
• Collaborate on Interdisciplinary Research Projects: Seek out opportunities to work with professionals from different scientific disciplines to broaden your perspective and foster innovation through cross-pollination of ideas.
• Participate in Scientific Conferences and Seminars: Attend and, if possible, present your research at national and international conferences to stay informed about recent developments and network with leading scientists.
• Contribute to Peer-Reviewed Journals: Writing and reviewing articles for reputable scientific journals will not only contribute to your field but also refine your critical thinking and writing skills.
• Engage with Research Funding and Grant Writing: Develop your skills in writing grant proposals to secure funding for your research, which is a critical component of a successful scientific career.
• Adopt Open Science Practices: Embrace open science by sharing your data and findings openly when possible, and using open-source resources to promote transparency and reproducibility in research.
• Develop Teaching and Mentoring Skills: Take on roles that involve teaching or mentoring to improve your communication skills and give back to the scientific community by helping to train the next generation of researchers.
• Stay Informed on Ethical Research Practices: Ensure that you are up-to-date with the ethical considerations and regulations in your field to conduct responsible and credible research.
• Invest in Soft Skills Development: Enhance your soft skills, such as teamwork, leadership, and problem-solving, which are invaluable in collaborative research environments and when leading projects or labs.

Skill FAQs for Research Scientists

What are the emerging skills for research scientists today, how can research scientists effectivley develop their soft skills, how important is technical expertise for research scientists.

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Discover the nine competencies required to become a researcher

What essential skills do researchers need? For those just starting on the road to research, breaking the process down into achievable and measurable milestones can help

Cynthia López

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When studying education, researchers often face the challenge of trying to figure out what, how and when to research, often believing that if a researcher is not an expert in a specific area, they are unable to carry out research on it. However, certain core competencies can help you effectively research any topic related to your teaching practice, as well as incorporate technological and/or pedagogical trends.

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Several models outline the basic knowledge and competencies that a professional (in this case, a teacher) must have in order to carry out research, including the LART model suggested by Luis Arturo Rivas-Tovar , which lists the key competencies as:

• The ability to state a research problem : start from what is known and move to what is desired to be known.
• Know how to elaborate a contextual framework : analyse how the stated problem occurs within a whole and in the context you want to research.
• Examine the state of the art : review what is already known about the defined problem in the literature in order to aid the search for new knowledge. Each part of the problem must be studied separately.
• Prepare and validate data collection instruments: while considering the objective of the study, define the type of research best suited to it, the instrument(s) to be used, and the individuals who will validate and answer them.
• Build a research model: once you have visualised the problem or event to be researched, establish the process you will follow to analyse it and achieve the study objectives.
• Know how to analyse the data obtained: recognise that different techniques are available to process the results, which are linked to the type of research and the scale used in the data collection instruments.
• Know how to write scientific articles : any professional researcher must learn the citation styles: MLA (for literature), CBE (for basic sciences) and APA (for social sciences). Write briefly and concisely and use the IMRaD structure (introduction, method, results and discussion) to present your work.
• Present your results at a conference:  this ability means the new knowledge will be communicated and, most likely, doors will be opened to exchange experiences with other researchers – in this case, teachers from different disciplines and educational institutions.
• Master a second language : English is the universal language, so it is necessary to learn it to be able to communicate in international journals or at conferences.

These nine skills can help guide professionals interested in researching teaching, although they can also, of course, be applied to almost any field. Even if you do not have a particularly scientific profile, they can help instigate a critical view of any topic or event, even one already defined or being tested.

Indeed, as educational engineers, we often analyse educational models to help gauge the impact of pedagogical innovations.

But for what purpose? To answer, here are three key reasons that can apply to any research:

• To gain in-depth knowledge of a topic, event or situation and visualise the place each of its components occupies.
• To communicate the knowledge obtained to the people involved to help them grasp the scope of their participation in the field studied.
• To help make decisions that favour or produce changes in the object/subject of research.

These three purposes, I think, show the usefulness of the nine competencies. They can help us detect strengths as well as opportunities for improvement – and provide the information needed to adjust or optimise.

Finally, the central argument for mastering these nine competencies is that it demonstrates the commitment and passion that any person, whether they are a researcher or not, must put into a field they want to know better. Only through displaying the correct level of rigour can we prepare to find and then solve those aspects of education (or any other field) that remain to be discovered.

Cynthia López is an educational engineer at Monterrey Institute of Technology, Mexico.

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Home › Study Tips › Research Skills: What They Are and How They Benefit You

Research Skills: What They Are and How They Benefit You

• Published May 23, 2024

Research skills give you the ability to gather relevant information from different sources and analyse it critically in order to develop a comprehensive understanding of a subject. Thus, research skills are fundamental to academic success.

Developing these skills will improve your studies, helping you understand subjects better and positioning you for academic success.

That said, how can you develop important research skills? This will explore what research skills are, identify the core ones, and explain how you can develop them.

What Are Research Skills?

Research skills are a set of abilities that allow individuals to find and gather reliable information and then evaluate the information to find answers to questions.

Good research skills are important in academic settings, as finding and critically evaluating relevant information can help you gain a deeper understanding of a subject.

These skills are also important in professional and personal settings. When you graduate and are working in a professional capacity, you’ll often need to analyse sets of data to identify issues and determine how to solve them.

In personal contexts, you’ll always need to assess relevant information to make an informed decision. Whether you’re deciding on a major purchase, choosing a healthcare provider, or planning to make an investment, you’ll need to evaluate options to ensure better decision outcomes.

Different Types of Research Skills

Research skills are categorised into different sub-skills. The most common types are:

Quantitative Skills

Quantitative skills refer to the ability to work with numerical data and perform mathematical and statistical analyses to extract meaningful insights and draw conclusions. 

When you have quantitative skills, you’ll be able to apply mathematical concepts and operations in research design and data analysis. 

You’ll also be proficient in using statistical methods to analyse data and interpreting numerical data to draw meaningful conclusions. 

Analytical Skills

Analytical skills refer to the ability to gather data, evaluate it, and draw sound conclusions. When you have analytical skills, you’ll be able to systematically analyse information to reach a reasonable conclusion. 

Analytical skills are important in problem-solving. They help you to break down complex problems into more manageable components, think critically about the information at hand, analyse root causes, and develop effective solutions.

Qualitative Skills

Qualitative skills refer to the ability to collect, analyse, and interpret non-numerical data. When you have qualitative skills, you’ll be proficient in observation, interviewing, and other methods for collecting qualitative research data. 

You’ll also be able to analyse non-numerical data, such as documents and images, to identify themes, patterns, and meanings.

Research Skills Examples

The core research skills you need for success in academic, professional, and personal contexts include:

Data Collection

Data is at the centre of every research, as data is what you assess to find the answers you seek. Thus, research starts with collecting relevant data.

Depending on the research, there are two broad categories of data you can collect: primary and secondary.

Primary data is generated by the researcher, like data from interviews, observations, or experiments. Secondary data is pre-existing data obtained from different existing databases, like published literature, government reports, etc. 

Thus, data collection is more than gathering information from the Internet. Depending on the research, it can require more advanced skills for conducting experiments to generate your own data.

Source Evaluation

When doing research on any subject (especially when using the Internet), you’ll be amazed at the volume of information you’ll find. And a lot is pure garbage that can compromise your research work.

Thus, an important research skill is being able to dig through the garbage to get to the real facts. This is where source evaluation comes in!

Good research skills call for being able to identify biases, assess the authority of the author, and determine the accuracy of information before using it.

Time Management Skills

Have you ever felt that there is not enough time in a day for all that you need to do? When you already have so much to do, adding research can be overwhelming.

Good time management skills can help you find the time to do all you need to do, including relevant research work, making it an essential research skill.

Time management allows you to plan and manage your research project effectively. It includes breaking down research tasks into more manageable parts, setting priorities, and allocating time to the different stages of the research.

Communication Skills

Communication is an important aspect of every research, as it aids in data collection and sharing research findings. 

Important communication skills needed in research include active listening, active speaking, interviewing, report writing, data visualisation, and presentation, etc.

For example, when research involves collecting primary data via interviews, you must have sound speaking and listening skills. 

When you conclude the research and need to share findings, you’ll need to write a research report and present key findings in easy-to-understand formats like charts. 

Attention to Detail

Attention to detail is the ability to achieve thoroughness and accuracy when doing something. It requires focusing on every aspect of the tasks, even small ones. 

Anything you miss during your research will affect the quality of your research findings. Thus, the ability to pay close attention to details is an important research skill.

You need attention to detail at every stage of the research process. During data collection, it helps you ensure reliable data. 

During analysis, it reduces the risk of error to ensure your results are trustworthy. It also helps you express findings precisely to minimise ambiguity and facilitate understanding.

Note-Taking

Note-taking is exactly what it sounds like—writing down key information during the research process.

Remember that research involves sifting through and taking in a lot of information. It’s impossible to take in all the information and recall it from memory. This is where note-taking comes in!

Note-taking helps you capture key information, making it easier to remember and utilise for the research later. It also involves writing down where to look for important information.

Critical Thinking

Critical thinking is the ability to think rationally and synthesise information in a thoughtful way. It is an important skill needed in virtually all stages of the research process.

For example, when collecting data, you need critical thinking to assess the quality and relevance of data. It can help you identify gaps in data to formulate your research question and hypothesis. 

It can also help you to identify patterns and make reasonable connections when interpreting research findings.

Data Analysis

Data may not mean anything until you analyse it qualitatively or quantitatively (using techniques like Excel or SPSS). For this reason, data analysis analysis is an important research skill.

Researchers need to be able to build hypotheses and test these using appropriate research techniques. This helps to draw meaningful conclusions and gain a comprehensive understanding of research data.

Problem-Solving Skills

Research often involves addressing specific questions and solving problems. For this reason, problem-solving skills are important skills when conducting research. 

Problem-solving skills refer to the ability to identify, analyse, and solve problems effectively. 

With problem-solving skills, you’ll be able to assess a situation, consider various solutions, and choose the most appropriate course of action toward finding a solution.

Benefits of Research Skills

Research skills have many benefits, including:

Enhances Critical Thinking

Research skills and critical thinking are intertwined such that developing one enhances the other.

Research requires people to question assumptions, evaluate evidence, analyse information, and draw conclusions. These activities require you to think critically about the information at hand. Hence, engaging in research enhances critical thinking.

Develops Problem-Solving Skills

Research helps you acquire a set of critical skills that are directly transferable to problem-solving. 

For example, research fosters creative thinking, as it often requires synthesising data from different sources and connecting different concepts. After developing creative thinking via research, you can apply the skill to generate innovative solutions in problem-solving situations. 

Helps in Knowledge Acquisition

Engaging in research is a powerful way to acquire knowledge. Research involves exploring new ideas, and this helps you expand your breadth of knowledge.

It also involves applying research methods and methodologies. So, you’ll acquire knowledge about research methods, enhancing your ability to design and conduct studies in your higher education or professional life.

Why Are Research Skills Important?

Strong research skills offer numerous benefits, especially for students’ academic learning and development. 

When you develop good research skills, you’ll reap great academic rewards that include:

In-Depth Understanding

Conducting research allows you to delve deep into specific topics, helping you gain a thorough understanding of the subject matter beyond what is covered in standard coursework.

Critical Thinking Development

Research involves critical evaluation of information and making informed decisions. This builds your ability to think critically.

This skill will not only help you solve academic problems better, but it’s also crucial to your personal and professional growth.

Encouragement of Independent Learning

Research encourages independent learning. When you engage in research, you seek answers independently. You take the initiative to find, retrieve, and evaluate information relevant to your research.

That helps you develop self-directed study habits. You’ll be able to take ownership of your education and actively seek out information for a better understanding of the subject matter.

Intellectual Curiosity Development

Research skills encourage intellectual curiosity and a love of learning, as they’ll make you explore topics you find intriguing or important. Thus, you’ll be more motivated to explore topics beyond the scope of your coursework.

Enhanced Communication Skills

Research helps you build better interpersonal skills as well as report-writing skills.

Research helps you sharpen your communication skills when you interact with research subjects during data collection. Communicating research findings to an audience also helps sharpen your presentation skills or report writing skills.

Assistance in Career Preparation 

Many professions find people with good research skills. Whether you’ll pursue a career in academia, business, healthcare, or IT, being able to conduct research will make you a valuable asset.

So, researching skills for students prepares you for a successful career when you graduate.

Contribution to Personal Growth

Research also contributes to your personal growth. Know that research projects often come with setbacks, unexpected challenges, and moments of uncertainty. Navigating these difficulties helps you build resilience and confidence.

Acquisition of Time Management Skills

Research projects often come with deadlines. Such research projects force you to set goals, prioritise tasks, and manage your time effectively.

That helps you acquire important time management skills that you can use in other areas of academic life and your professional life when you graduate.

Ways to Improve Research Skills

The ways to improve your research skills involve a combination of learning and practice. 

You should consider enrolling in research-related programmes, learning to use data analysis tools, practising summarising and synthesising information from multiple sources, collaborating with more experienced researchers, and more. 

Looking to improve your research skills? Read our 11 ways to improve research skills article.

How Can I Learn Research Skills?

You can learn research skills using these simple three-point framework:

Clarifying the Objective

Start by articulating the purpose of your research. Identify the specific question you are trying to answer or the problem you are aiming to solve.

Then, determine the scope of your research to help you stay focused and avoid going after irrelevant information.

Cross-Referencing Sources

The next step is to search for existing research on the topic. Use academic databases, journals, books, and reputable online sources.

It’s important to compare information from multiple sources, taking note of consensus among studies and any conflicting findings. 

Also, check the credibility of each source by looking at the author’s expertise, information recency, and reputation of the publication’s outlet.

Organise the Research

Develop a note-taking system to document key findings as you search for existing research. Create a research outline, then arrange your ideas logically, ensuring that each section aligns with your research objective.

As you progress, be adaptable. Be open to refining your research plan as new understanding evolves.

Enrolling in online research programmes can also help you build strong research skills. These programmes combine subject study with academic research project development to help you hone the skills you need to succeed in higher education.

Immerse Education is a foremost provider of online research programmes.

Acquire Research Skills with Immerse Education 

Research skills are essential to academic success. They help you gain an in-depth understanding of subjects, enhance your critical thinking and problem-solving skills, improve your time management skills, and more. 

In addition to boosting you academically, they contribute to your personal growth and prepare you for a successful professional career.

Thankfully, you can learn research skills and reap these benefits. There are different ways to improve research skills, including enrolling in research-based programmes. This is why you need Immerse Education!

Immerse Education provides participants aged 13-18 with unparalleled educational experience. All our programmes are designed by tutors from top global universities and help prepare participants for future success.

Our online research programme expertly combines subject study with academic research projects to help you gain subject matter knowledge and the important research skills you need to succeed in higher education.  With one-on-one tutoring or group sessions from an expert academic from Oxford or Cambridge University and a flexible delivery mode, the programme is designed for you to succeed. Subsequently, enrolling in our accredited Online Research Programme will award students with 8 UCAS points upon completion.

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How to become a successful researcher at every stage of your career

November 16, 2020

By Sneha Mittal Sachdeva

Steps to building a successful research career – with a JACC webinar for physician-scientists

Pursuing a career in research can be daunting. Regardless of your field, it can be highly competitive, with challenges at every stage. These include the uncertainty of grants and fellowships, maintaining work-life balance, and  publishing in premium, high-impact journals   opens in new tab/window .

For physician-scientists, the success rates for securing research grants has declined from 33 percent to 19 percent, while the number of grant applications has increased by 72 percent. However, with a roadmap for success, the path can provide personal and professional fulfillment and dynamism.

In this article – based on our webinar the  Journal of the American College of Cardiology   opens in new tab/window  (JACC) – Dr. Valentin Fuster and Dr. Harlan Krumholtz share best practices to become a successful researcher at three stages of your career: early, mid-career and senior. While their advice is for physician-scientists, it can apply to people in all fields of research.

Webinar: How to become a successful researcher at every stage of your career

How to Become a Successful Researcher At Every Stage of Your Career (brighttalk.com)   opens in new tab/window Join this  free webinar   opens in new tab/window  with Valentin Fuster, MD, PhD, MACC, Editor-in-Chief of the  Journal of the American College of Cardiology (JACC)   opens in new tab/window , and Harlan M. Krumholz, MD, SM, FACC, Director of the  Yale Center for Outcomes Research and Evaluation   opens in new tab/window  at the Yale School of Medicine. They discuss how to maintain a successful physician-scientist career at three stages: early, mid-career and senior. They also suggest tips for grant receipts and talk about the importance of the mentor/mentee relationship and the need for creativity in grant submissions.

1. Identify the right research project

As a researcher, irrespective of the career stage, understand that you’re in constant competition to continue your research. To ensure that you’re working in the right direction, you can follow this step-by-step approach:

Identify your skills and resources: Identify the range of skills you currently have and your available resources. But don’t be afraid to think big!

Recognize the requirements: Next, recognize what kind of projects are you willing to do. Ask yourself if you are flexible, if you’re willing to take risks and if you can really choose and afford to be entrepreneurial in terms of the available opportunities for your project.

Research the topic: Read and learn from the existing literature around your research topic, demonstrate the rationale for selecting the topic and ensure you’ve completed the background research before finalizing your research topic.

Improve the likelihood of success: Identify what resources, skills, individuals and support can enhance the likelihood of your success.

Prioritize time: Estimate the amount of time required to complete the project vs your available time. Allocate your time carefully to important projects, and don’t underestimate the time, efforts and energy required for each project. If you’re a senior researcher, identify the opportunities for networking, learning and future opportunities, but take a calculated approach before taking on a new project.

Understanding the current scenario: Understand what projects your sponsors, funding teams or organization will pay you to do. Ask yourself if you can leverage the available opportunities to find a balance between what you want to do, what the world is interested in and the support you can expect to receive for the project.

Make a strong case: Do you understand what you’re doing and why you’re doing this? In a short description, try to write key compelling reasons why you should take the project, and only take on the project if the reasons are convincing.

Once you have clarity on the research project topic, ensure you put your energy and efforts toward making the project a success. Then take all your learnings to your next project.

2. Develop and nurture qualities of being a successful researcher.

Is a researcher born or created with dedication and hard work? Or is it a combination of both? The best researchers are curious by nature. Here are a few other qualities that predispose them for success:

Courage: The top quality of any successful researcher is the courage to ask the right questions, seek answers from peers, experts as well as literature and questioning how their project will make an impact. A successful researcher will fight the fall into the comfort zone and will understand the rewards of a life in science which can help him/her contribute to the world.

Persistence: When thinking about your research career growth, envision the position you would like to achieve and the journey you would like to take to reach that position. Even though sometimes the journey might not quite suit you, don’t quit, learn and improve as you go.

Determination & Resilience in the face of challenges: Everyone among the top successful researchers have faced challenges at one or more junctures of their life. Everyone faces difficult times when people don’t believe in them or doubt their capabilities. However, what made them stand apart was the resilience they displayed in the face of challenges. When times are hard, don’t quit easily because success only comes to those who work hard.

Self-motivation: Surround yourself by an environment where you see examples of success, where you see people you admire, people who inspire us to think about what we might aspire to be, who we want to be and how do we want to get there. Find colleagues who’re asking questions, trying to seek knowledge to improve people lives and don’t limit this search to people just in front of you, but look for opportunities across institutions and across borders.

3. Find a mentor for every stage of your life.

A mentor is someone who can provide guidance and support, accommodate and suit your individual needs and requirements, understand your aspirations and become an anchor for you at difficult stages of life. Regardless of the stage of your career, the role of a mentor is critically important in steering your interests and contributing to your growth.

You can have several mentors in your life based on your career stage; for example, a mentor to guide your thesis, a mentor who supports your career growth and a mentor who is an anchor for your life. A great mentor-mentee relationship is one where you have good chemistry and comfort. Mentorship doesn’t necessarily mean a mentor is supposed to tell you what needs to be done, but it’s a relationship where you can always seek guidance and supporting advice.

If you’re in early or middle stages of your career, find a mentor who is welcoming, supportive, encouraging and helps create or discover opportunities for your growth.

If you’re a senior researcher, contribute to society by discovering people with talent and encouraging them. Find the right triggers, understand talent, and support the people who have the right ingredients to become successful in their life.

4. Understand your talent and enhance it.

Understand your talents, skills and interests, and spend time enhancing these. You can ask yourself these key questions to help you grow in the right direction:

Self-discovery questions:

What are you trying to achieve in the next 5 years?

What are your strengths and weaknesses?

What projects keep me excited

Which strengths would you like to cultivate in the upcoming years?

Self-motivation:

What happens when things don’t work?

How can I keep myself motivated?

What are my contributions to the society?

What is the journey I would like to go through?

How can I achieve that big win?

How do I connect with people?

How do I motivate others around me?

How do others around me keep me motivated?

Research area of interest:

Do you enjoy working on new ground-breaking research or does your strength lie in enhancing the existing research?

How can you add value to your institution with your research?

Parting wisdom

At every stage of your career, remember to be a bold and creative problem solver. Ensure you thank the people who have made your journey important and memorable. Be satisfied with what you do, understand your talent and invest in them continuously. Begin with the end in mind. Your research is not the money, but the contribution you have made to the society and the impact you have had on your team. And most importantly don’t forget to enjoy each stage of your journey, learning lessons and striving towards becoming a better version of yourself each day.

Related stories and resources

Researcher Academy: Publishing in premium journals   opens in new tab/window

Learn more about JACC journals   opens in new tab/window

Contributor

Sneha mittal sachdeva.

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Research Skills: What they are and Benefits

Research skills play a vital role in the success of any research project, enabling individuals to navigate the vast sea of information, analyze data critically, and draw meaningful conclusions. Whether conducting academic research, professional investigations, or personal inquiries, strong research skills are essential for obtaining accurate and reliable results.

LEARN ABOUT:   Research Process Steps

By understanding and developing these skills, individuals can embark on their research endeavors with confidence, integrity, and the capability to make meaningful contributions in their chosen fields. This article will explore the importance of research skills and discuss critical competencies necessary for conducting a research project effectively.

Content Index

What are Research Skills?

Important research skills for research project, benefits of research skills.

• Improving your Research Skills

Talk to Experts to Improve Skills

Research skills are the capability a person carries to create new concepts and understand the use of data collection. These skills include techniques, documentation, and interpretation of the collected data. Research is conducted to evaluate hypotheses and share the findings most appropriately. Research skills improve as we gain experience.

To conduct efficient research, specific research skills are essential. These skills are necessary for companies to develop new products and services or enhance existing products. To develop good research skills is important for both the individual as well as the company.

When undertaking a research project, one must possess specific important skills to ensure the project’s success and accuracy. Here are some essential research skills that are crucial for conducting a project effectively:

Time Management Skills:

Time management is an essential research skill; it helps you break down your project into parts and enables you to manage it easier. One can create a dead-line oriented plan for the research project and assign time for each task. Time management skills include setting goals for the project, planning and organizing functions as per their priority, and efficiently delegating these tasks.

Communication Skills:

These skills help you understand and receive important information and also allow you to share your findings with others in an effective manner. Active listening and speaking are critical skills for solid communication. A researcher must have good communication skills.

Problem-Solving:  

The ability to handle complex situations and business challenges and come up with solutions for them is termed problem-solving. To problem-solve, you should be able to fully understand the extent of the problem and then break it down into smaller parts. Once segregated into smaller chunks, you can start thinking about each element and analyze it to find a solution.

Information gathering and attention to detail:

Relevant information is the key to good research design . Searching for credible resources and collecting information from there will help you strengthen your research proposal and drive you to solutions faster. Once you have access to information, paying close attention to all the details and drawing conclusions based on the findings is essential.

Research Design and Methodology :

Understanding research design and methodology is essential for planning and conducting a project. Depending on the research question and objectives, researchers must select appropriate research methods, such as surveys, experiments, interviews, or case studies. Proficiency in designing research protocols, data collection instruments, and sampling strategies is crucial for obtaining reliable and valid results.

Data Collection and Analysis :

Researchers should be skilled in collecting and analyzing data accurately. It involves designing data collection instruments, collecting data through various methods, such as surveys or observations, and organizing and analyzing the collected data using appropriate statistical or qualitative analysis techniques. Proficiency in using software tools like SPSS, Excel, or qualitative analysis software can be beneficial.

By developing and strengthening these research skills, researchers can enhance the quality and impact of their research process, contributing to good research skills in their respective fields.

Research skills are invaluable assets that can benefit individuals in various aspects of their lives. Here are some key benefits of developing and honing research skills:

Boosts Curiosity :

Curiosity is a strong desire to know things and a powerful learning driver. Curious researchers will naturally ask questions that demand answers and will stop in the search for answers. Interested people are better listeners and are open to listening to other people’s ideas and perspectives, not just their own.

Cultivates Self-awareness :

As well as being aware of other people’s subjective opinions, one must develop the importance of research skills and be mindful of the benefits of awareness research; we are exposed to many things while researching. Once we start doing research, the benefit from it reflects on the beliefs and attitudes and encourages them to open their minds to other perspectives and ways of looking at things.

Effective Communication:

Research skills contribute to practical communication skills by enhancing one’s ability to articulate ideas, opinions, and findings clearly and coherently. Through research, individuals learn to organize their thoughts, present evidence-based arguments, and effectively convey complex information to different audiences. These skills are crucial in academic research settings, professional environments, and personal interactions.

Personal and Professional Growth :

Developing research skills fosters personal and professional growth by instilling a sense of curiosity, intellectual independence, and a lifelong learning mindset. Research encourages individuals to seek knowledge, challenge assumptions, and embrace intellectual growth. These skills also enhance adaptability as individuals become adept at navigating and assimilating new information, staying updated with the latest developments, and adjusting their perspectives and strategies accordingly.

Academic Success:

Research skills are essential for academic research success. They enable students to conduct thorough literature reviews, gather evidence to support their arguments, and critically evaluate existing research. By honing their research skills, students can produce well-structured, evidence-based essays, projects, and dissertations demonstrating high academic research rigor and analytical thinking.

Professional Advancement:

Research skills are highly valued in the professional world. They are crucial for conducting market research, analyzing trends, identifying opportunities, and making data-driven decisions. Employers appreciate individuals who can effectively gather and analyze information, solve complex problems, and provide evidence-based recommendations. Research skills also enable professionals to stay updated with advancements in their field, positioning themselves as knowledgeable and competent experts.

Developing and nurturing research skills can significantly benefit individuals in numerous aspects of their lives, enabling them to thrive in an increasingly information-driven world.

Improving Your Research Skills

There are many things you can do to improve your research skills and utilize them in your research or day job. Here are some examples:

• Develop Information Literacy: Strengthening your information literacy skills is crucial for conducting thorough research. It involves identifying reliable sources, evaluating the credibility of information, and navigating different research databases.
• Enhance Critical Thinking: Critical thinking is an essential skill for effective research. It involves analyzing information, questioning assumptions, and evaluating arguments. Practice critical analysis by analyzing thoughtfully, identifying biases, and considering alternative perspectives.
• Master Research Methodologies: Familiarize yourself with different research methodologies relevant to your field. Whether it’s qualitative, quantitative, or mixed methods research, realizing the strengths and limitations of each approach is crucial.
• Practice Effective Time Management: Research requires dedicated time and effort. Develop good time management skills to ensure that you allocate sufficient time for each stage of the research process, including planning, data collection, analysis, and writing.
• Embrace Collaboration: Collaborating with peers and colleagues can provide a fresh perspective and enrich your research experience. Engage in discussions, share ideas, and seek feedback from others. Collaborative projects allow for exchanging knowledge and skills.
• Continuously Update Your Knowledge: Stay informed about your field’s latest developments and advancements. Regularly read scholarly articles, attend conferences, and follow reputable sources of information to stay up to date with current research trends.

There is plenty of information available on the internet about every topic; hence, learning skills to know which information is relevant and credible is very important. Today most search engines have the feature of advanced search, and you can customize the search as per your preference. Once you learn this skill, it will help you find information. 

Experts possess a wealth of knowledge, experience, and insights that can significantly enhance your understanding and abilities in conducting research. Experts have often encountered numerous challenges and hurdles throughout their research journey and have developed effective problem-solving techniques. Engaging with experts is a highly effective approach to improving research skills.

Moreover, experts can provide valuable feedback and constructive criticism on your research work. They can offer fresh perspectives, identify areas for improvement, and help you refine your research questions, methodology, and analysis.

At QuestionPro, we can help you with the necessary tools to carry out your projects, and we have created the following free resources to help you in your professional growth:

• Survey Templates

Research skills are invaluable assets that empower individuals to navigate the ever-expanding realm of information, make informed decisions, and contribute to advancing knowledge. With advanced research tools and technologies like QuestionPro Survey Software, researchers have potent resources to conduct comprehensive surveys, gather data, and analyze results efficiently.

Where data-driven decision-making is crucial, research skills supported by advanced tools like QuestionPro are essential for researchers to stay ahead and make impactful contributions to their fields. By embracing these research skills and leveraging the capabilities of powerful survey software, researchers can unlock new possibilities, gain deeper insights, and pave the way for meaningful discoveries.

Authors : Gargi Ghamandi & Sandeep Kokane

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Become a Researcher – 5 Skills You Need

I have cherry-picked five skills you need to become a researcher for those of us who are aspiring to step into the field of academic research. Each field such as arts or science has its own specialist skills. In addition, there are a handful of key skills which are crucial to success .

Project Management

Every research project requires a degree of project management. This is a term you have probably heard being used. But what exactly do we mean by project management?

Project management means high-quality planning. You make a step by step plan on how you intend to reach your final objective. You set achievable aims, realistic milestones and identify other necessary resources (manpower and finances).

As a researcher, you need to complete thorough research to receive external funding and to get your project off the ground. If you are currently working on someone else’s project, make sure that you observe, ask questions and learn as much as possible.

Handling Budgets

Another key skill is learning how to effectively manage a budget. It might be a task which you have not done in any great depth for your PhD. If so, do gain some further experience of handling budgets. You will need this skill in order to lead your own research project.

As an academic, you might have administrative support to help you hold the purse strings whilst the final decision-making and responsibility will come down to you. As with your own domestic budget, keeping a regular check on monies in and out is vital. Do not bury your head in the sand if things appear to be going wrong. Make sure you match your research goals to the money you have been awarded. Do not overcommit yourself in the hiring of other staff or running collaborative workshops (both of which can cost a lot of money). Remember that the money is there to be spent so do not hoard it! And finally, make sure you keep good records of your income and spending. Your university, funding body or the taxman may want to see your records at any time.

Team Leading/Managing

Working successfully with others could be difficult in the academic world (we are used to working with a large degree of autonomy). However, a research project often requires the support of others: colleagues at your institution and elsewhere, administrative staff and at times people in the private sector.

If you are managing the project, you need to know two main things: how to get the best out of each of your workers and how to make their working experience positive. Asking each person to play their part is vital, as well as listening to them, asking for their feedback on decisions or exploring any issues if they are not happy. Being able to assess each colleague’s needs and vulnerabilities is essential if you want to successfully lead them as a team.

Handling Data

Depending on your field, the results you gain from your project could include lab experiments, statistical evidence, interview materials or research in an archive. Whatever results you get, you need to be able to successfully handle large amounts of data. Without effective data skills, you will never get to the exciting stage of analysing your results.

So how do you manage data successfully? By being focused, structured and planning ahead. Start with organising an electronic or paper-based data storage system. Design and set up your database. Organise storage for hard copies of raw materials and catalogue them clearly. Make sure you keep records of who is collecting what as you go along. You must not lose any work because of incompetence or disorganisation. When it comes to writing up your research later, you will have all the answers you need at your fingertips.

Closely linked with data management is the necessity of developing IT skills. Although you might consider yourself a confident user of IT, you will need to learn new packages, online platforms and programmes all the time. Take every opportunity to refresh and update your IT skills.

Take a few minutes to think about any data collection or storage packages that could help your research. Are there any IT methods that could greatly support your work? What about analytical tools for working with large amounts of data? Could you build your own website? Perhaps you need something bespoke and experimental for your project that you could help to design. A new bibliographical tool could be invaluable to help you write up your research. Developing new IT skills could help you to present your work in a more innovative, convincing and refreshing way. IT never stands still.

The pace of technological change is unlikely to slow down any time soon. If you would like to work as an academic researcher, you will need to keep on developing your skills.

Take a close look at the above five skills you need to become a researcher and select one area which you would like to build on in the next few weeks. Best of luck!

For further skills tips see:

Gaining New Skills And Knowledge During Lockdown

Balancing Academic Research and Teaching

Changes to Academic Research

Research in Academic Careers

What did you think of our article? - please rate

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Henrietta Nagy

Henrietta Nagy is a seasoned portfolio worker with over 10 years’ experience in the UK education sector. Henrietta writes educational content, designs academic courses, delivers university lectures, mentors entrepreneurs, and provides career development coaching. One of Henrietta's recent organisational clients is the Oxford University where she has facilitated over 100 hours of learning events. With 9 years of higher education studies internationally (including an MBA), she has worked with CEOs, academics, scholars, managers, women entrepreneurs, academic administrators and other consultants.

Reader Interactions

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30th September 2019 at 1:33 pm

Hi Henrietta,

thank you for the article, it has actually helped me to realise a weakness in me. Do you do carrier-advise?

23rd August 2020 at 9:00 pm

Hi Henrietta, This article has helped me to realise some of my strengths and weaknesses.

Do you offer careers advice?

7th September 2020 at 1:06 pm

Hi Henrietta, Thanks for this article. I have a better understanding now. Can you be my mentor? I have a Master’s degree and want to pursue a PhD. My goal in life is to be a Professor and I need a mentor. Though, I’m not in any University currently but I believe in taking a step. Awaiting your response.

27th February 2022 at 8:14 am

I can be your mentor.give me your facebook handle

31st March 2021 at 9:32 am

Hi Henrrietta Thank you for your article. I want to pursue a new career path in research i have non of those skills . Would you be my mentor

15th April 2022 at 3:33 pm

I want to become a researcher. Need help.

21st June 2022 at 5:50 pm

I love to learn Spanish. Great content.

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The Best Research Skills for a Resume

If you want to apply for a research position, you need to provide evidence of research skills on your resume. In this article, we explore what the best research skills for a resume are, why they are important and how to list them properly. We also provide a researcher resume sample to get you started – you can use it as inspiration or a template.

Table of Contents

What Are Research Skills?

A career like research is an excellent option for anyone who can collect, analyze and interpret data, solve complex problems, dive deep into discovery, and offer innovative solutions. The best thing about being a researcher is that you can not only succeed in science and academia but also climb up the career ladder in the corporate world. Indeed, having solid research skills opens the door to many roles and industries, including academic environments, government settings, transnational corporations, startups, tech giants, and non-profit organizations, to name but a few.

From human behavior to regional studies to biotech, there are myriads of research spheres where a qualified individual can make a difference. Researchers utilize their skills to explore a variety of topics, and if you have your mind set on pursuing a career as a researcher, you need to understand what skill set is pivotal for success in this field.

In a nutshell, research skills are all about searching ways to resolve problems. They are knowledge, abilities and competencies that ensure you can investigate particular topics, perform critical analysis, extract and organize data, interpret results, form hypotheses, and derive data-driven conclusions.

As a researcher, you are expected to be capable of relaying your findings to other people in a compelling and digestible form and even inspire action, both in yourself and in others.

Whether you are a seasoned researcher or a novice in this field, you need to put the right skills on your resume . Below you will find a list of the most in-demand research skills in today’s job market.

The Top 10 Research Skills for a Resume

Communication.

Communication is a crucial aspect of a research career since you are required to share information, relay findings and spread knowledge efficiently and effectively, both orally and in writing . While communication skills certainly have a place on your resume , that doesn’t mean adding “Communication” to your list of skills is enough to move on. You need to provide relevant examples verifying that you can research things as part of a team and work towards a common goal. You could add something like this to add credibility to your claim:

Recruited 7 research assistants for clinical studies by visiting clinics and sending out email invites, increasing participation by 20%.

Explained 100+ research procedures to a group of study participants in 10 days, resulting in a 0% incident rate.

Problem Solving

Being an advanced problem solver means you can consistently identify issues and find effective and efficient solutions to them . It is an extremely valuable skill when it comes to research-based activities, and 86% of employers look for workers who are capable of solving problems in the workplace according to the National Association of Colleges and Employers’ Job Outlook 2022 survey. If you want to add problem-solving skills to your resume, you need to underpin them with relevant accomplishments. For instance, you could add examples like these:

Resolved course accessibility issues by creating interactive presentations for remote learners, increasing student satisfaction by 89%.

Developed and introduced a new computing environment for analysis, identifying 100% of failure patterns and improving issue detection by 75%.

Analytical Skills

Having analytical skills means you can parse data into digestible pieces, interpret them correctly and make data-based connections and conclusions . Data analysis incorporates a vast set of competencies, including technical skills like proficiency in programming languages, such as Python and R, familiarity with data visualization tools, like Tableau and Power BI, and a strong grasp of statistical analysis methods, such as hypothesis testing, regression analysis, and sample size determination. Armed with these skills, a researcher can take data to the next level and drive both innovation and profitability.

Being able to make sense of facts and figures both manually and using automated solutions will help you thrive in most roles, so recruiters would love to know that you are an analytical thinker when considering your candidacy. Your best bet here is to make sure they can find this out by examining your resume. You can add examples like the ones below to prove you can tackle complicated issues using your analytical skill set:

Collected, cleaned and analyzed first-party data from 10+ departments to identify the socio-economic impact of the COVID-19 pandemic on the company.

Performed regression analysis to determine the effects of a company-wide minimum wage increase, concluding that the hiring process was accelerated by 25% due to the wage change in question.

Qualitative Analysis

Qualitative analysis allows you to analyze a research subject using non-numerical and non-quantifiable parameters, characteristics and indicators and is based on abstract concepts . For instance, you can use qualitative attributes like human behavior or brand reputation to make business decisions or recognize investment opportunities. This skill is in demand today as it helps researchers use their observations to make conclusions, identify patterns and tackle challenges. Since you cannot quantify this area of your expertise, you need to provide relevant context to convince the reader that you are capable of analyzing non-tangible aspects of a subject. You can do that by using appropriate examples, like the following ones:

Evaluated the quality and accuracy of 200+ data sources in a month.

Performed quality control of high-volume content in a rapidly changing environment, maintaining a quality score of 99.9%.

Quantitative Analysis

Quantitative analysis is an approach that allows you to collect, study, measure, and analyze data . From statistical research to financial modeling, quantitative analysis includes a powerful toolkit that helps a researcher refine and simplify vast amounts of raw data to make better decisions and forecast trends.

Quantitative analysis has countless applications: with it, you can track metrics, measure variables and evaluate parameters in multiple fields, from finance and accounting to molecular biology and astrophysics. Therefore, it is no wonder that it is one of the most important research skills for a resume and highlighting it the right way is likely to help you move forward in the job searching process. You can prove that you know how to work with tangible data by providing relevant examples, like the following ones:

Designed a new data analysis technique, saving 30 monthly hours in parameter comparisons.

Used SQL to analyze customer data and identify areas for improvement related to customer conversions, resulting in a conversion boost by 75%.

Academic Writing

Academic writing is the ability to create complex documents containing scientific data, such as formulas, graphs, and charts . Academic writing skills help researchers prepare reports, presentations and articles for scientific journals and magazines, and if you have them, it means you know how to present technical information clearly and concisely. Recruiters from scientific fields are especially interested in candidates capable of writing academically, so submitting a resume with examples of written work is likely to help you secure a position as a researcher. Listing your publications to prove your expertise is the best option here, but since you might not have enough space to add all your papers, books and articles, you could highlight your academic writing proficiency with something like this:

Created 350+ articles on the principles of academic research for the university’s database, increasing student satisfaction by 60%.

Published 30+ papers focused on structural changes in protein conformations.

We know that expressing your writing potential in limited words can be difficult, so here getting assistance from a summarizing tool can be a good idea.

Literature Review

Literature review is a methodology that implies conducting rigorous research on a particular topic . Having literature review skills means you can explore your subject area in greater depth using sources like books, journal articles, industry magazines, etc. Such competencies allow you to build upon existing knowledge and generate new ideas, accelerating your research and pushing it to its full potential. Naturally, your literature review skills are a valuable asset to your resume. We recommend you to illuminate them with appropriate examples, focusing on tangible outcomes:

Gathered and reviewed 10+ articles on Stata to extract variables from a dataset.

Performed 100+ literature reviews to implement changes in clinical practice, boosting quality of care by 70%.

Time Management

Time management is a powerful soft skill that is especially valuable in research environments. It allows you to manage your time effectively, break large tasks into manageable chunks and prioritize them properly, set up measurable, attainable, and time-bound goals, and even juggle your responsibilities . Proper time management helps you stay focused on your work, boosts your productivity and thereby leads to consistently high results and impressive outcomes. From carrying out experiments to writing reports to teaching, as a researcher, you need to apply time management strategies on a daily basis to successfully accomplish your tasks. You can show you are good at time management on your resume by showcasing your successes, like in the examples below:

Developed a database for organizing behavioral data for 100+ study participants, decreasing data processing time by 30%.

Implemented data analysis techniques in Python, increasing the amount of data analyzed per hour by 17% and accelerating project completion by 40%.

Attention to Detail

Paying attention to detail is a vital aspect of being a researcher. Having this skill helps you gather credible information, perceive meaningful connections, notice discrepancies, and deliver high-quality work based on correct evidence. Since each and every aspect of a career in research requires efficiency and trustworthiness, attention to detail is something you cannot go without – otherwise, your progress will come to a screeching halt. Naturally, you need to illuminate this skill on your resume as recruiters seek candidates who can look at details with a critical eye and minimize distractions. And the best way to do that is by providing a relevant example of success. You can use the ones below for reference:

Checked 10 + data sheets for completion and quality per day, resulting in a <1% error rate.

Supervised the maintenance and updates of the lab’s database with a 99% accuracy rate.

Editing & Proofreading

Editing and proofreading skills are essential to perform successful research since they ensure it is both accurate and easy to read . While editing is more about making your text more digestible and improving the overall quality of your writing, proofreading corrects surface issues like errors in spelling, punctuation and grammar. Both require you to have a solid command of the language you use and a certain degree of focus. The devil is indeed in the details, so you need to always polish your texts before submitting them. Only this way will they be perceived by your peers and superiors as constructive and professional. And to prove you are good at editing and proofreading, you need to add appropriate examples to your resume. Here is how you can demonstrate your ability to provide high-quality texts:

Edited 11 federal grant proposals designed by my team, which generated $200+ in lab funding.

Edited a research paper co-authored with 2 postdoctoral employees regarding protein generation, which received the Best Paper Award in 2020.

How to List Research Skills on a Resume

Your resume is the best place to highlight your research experience and the value you could bring to your next role. The key here is to put your research skills in the right section so that they get noticed by the reader. You have no fewer than 7 options here:

• A dedicated research section
• Your work experience section
• The education section
• The list of your research publications
• The projects section
• The skills section
• Your resume summary

If you have a solid research background, you may want to create a separate section on your resume and call it Research or Research Experience . This place will help you expand on your projects and their details, specify the nature of your research, and describe the specifics of your previous roles, providing relevant examples and demonstrating the most prominent accomplishments.

If your career is all things research, the work/professional experience section can incorporate your research skills and accomplishments. List your employers and your duties, along with the dates of your employment, like you would do when describing your non-research work experience.

Your education section is an appropriate place to highlight your research skills if you are a student or a recent graduate. You can put it at the top of your resume if you want to draw more attention to your research background when applying for your first job in science or academia.

If you have a whole host of published works, it could be a great idea to create a separate section for listing your publications . This will help you add credibility to your research skills and accomplishments. Research-related accomplishments can also be highlighted as projects on your resume. This might be appropriate if your research background is not so extensive or not quite relevant to your current career aspirations.

You can list your research skills in your skills section as long as they are tangible and relevant for the job you want to land. We recommend you to avoid general skills here and focus on industry-specific expertise, illuminating it with the keywords you can find in the corresponding job listing and relevant skill levels .

Highlighting your research skills in the summary section is appropriate if you are applying for a role where a robust research background is essential. Your resume summary is just a few lines appearing at the top of the document, so make sure to add only the most important research skills there – those that you want the reader to see first and foremost.

Why Are Research Skills Important?

Research-oriented positions and most jobs in academia require you to have a solid set of research skills. Employees outside these roles can also benefit from research experience – research skills are transferable , meaning you can bring them to the table no matter your position, career field or job level. Therefore, they are a valuable addition to a resume in many cases.

Businesses and organizations are eager to employ candidates with proven research skills because they can

• come up with original plans and ideas,
• design innovative products and services,
• improve processes,
• keep up with technology,
• identify customers’ needs and requirements and find ways to meet them,
• resolve complicated issues,
• analyze competitors’ strengths and weaknesses,

By adding research skills to your resume, you show recruiters that you can think outside the box, know how to work with data and technology, are capable of making well-informed decisions, and are good at solving problems. This makes you a valuable hire in today’s skill-based job market

A Resume Sample to Apply for a Research Position

JOHN/JANE DOE Research Assistant Location ⋅ Email ⋅ Phone number Diligent and hardworking clinical researcher seeking a position at [Name of Company] to apply academic expertise and facilitate biological research. PROFESSIONAL EXPERIENCE Company/Organization, Location Dates of Employment Research Assistant Assisted scientists in 30+ research projects related to therapeutics for COVID-19 Conducted data-driven testing with an accuracy rate of 98% Supervised a team of 3 junior research assistants with daily laboratory duties Company/Organization, Location Dates of Employment Graduate Research Assistant Participated in cell research projects as part of a cross-departmental team of 30 researchers. Performed cell counts with 99% accuracy Was engaged in developing a platform to investigate immune responses to virus-infected hepatocytes. … Company/Organization, Location Dates of Employment Research Student Assistant Gathered and analyzed data and evidence for 10+ clinical research cases monthly. Awarded “Research Impact Award” in recognition of consistent research excellence (only 1 student is awarded in a class of 100). … EDUCATION NAME OF UNIVERSITY Location Degree, Major Dates of Education SKILLS Molecular cloning RNA isolation Cell counting Knowledge of SQL code and queries Data analysis Literature review

A career in research is an extremely exciting yet quite a demanding path. Since the competition for positions in the field is very fierce, as a researcher, you need to have high levels of determination and persistence and a powerful combination of skills. The research skills we have outlined in this article are what recruiters expect to see on your resume, so make sure to expand on them to get the job of your dream, rise to the top of your game and deliver ground-breaking research.

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5 must-have skills for researchers of the future

The world of academic research is changing rapidly and so are the skills required by researchers.

While skills for writing a research paper are undoubtedly still vital, upcoming researchers need to be thinking about digital skills, societal impact, communication skills, and more.

Our 15-minute podcast for researchers , produced in partnership with Vitae, explores these topics and offers up some expert insight. Listen to it below and read on for some of the key highlights.

Read the 4 skills for researchers of the future podcast transcript.

1. Research communication

A key theme from the podcast is the importance of being able to communicate your research in a variety of ways.  “ We need to increase our skill in communicating what we do and how we do it to the general population,” explains Gabby Silberman, Director General at the Barcelona Institute of Science and Technology in Barcelona, Spain. “I think decision makers, and society in general, need to have access to what we do at a level that they can understand.”  

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 “Far too often in the past science communication has not been communication, it’s been information – a one-way communication,” agrees Michael Matlosz, President of EuroScience. “We need to find mechanisms where scientific communities are not only explaining what they’re doing, but they’re also listening to what others think about what they’re doing.”  

Our interviewees agreed that this isn’t necessarily an easy thing to do – especially when most researchers already have a large workload on their plates. However, for the public and policymakers to continue to back research endeavors, researchers will need to involve them more in the workings of the research process, not just inform them of the outcomes.  

But how do you hone those all-important communication skills? The links below will help: 

A guide to Twitter for researchers 

15 minutes to develop your research career

Tips for communicating research to the public

Research impact eBook

2. Collaborate beyond academia

Collaborating with business, industry, policymakers, and NGOs is increasingly important for researchers looking to ensure their research translates into real-world impact. But how can you start making those connections? 

 “Have a look at your research project – and consider if there’s a way you can include collaborations with business or industry?” advises Margaux Kersschot, Policy Advisor at the Doctoral School, University of Antwerp. “It can be in any type of way – just by contacting them for information, interviewing them, looking at product development.  It could also be, for example, by including them in your doctoral advisory committee, if you have one. Or just having them as an external advisor for the project.” 

With university researchers under increasing pressure to demonstrate the impact of their work, and politicians requiring evidence to inform their policies and convince the public they’re making the best decisions, it’s clear that research matters to policymaking, and policymaking influences research. 

However, despite its importance, engaging with policymakers is not straightforward and there isn’t one clear route for doing it. Take a look at our tips for how you could approach it. 

3. Digital research skills

Digital tools are, of course, not just for communication. Great computer skills are increasingly important in academic research, no matter which discipline you’re in.  

“If I was starting my PhD now, I would learn to program,” agrees Inger Mewburn. “The logic of programming is a really valuable thing to know how to do and I think just to have that skill would be amazing. It would allow you to work so much faster.” 

The good news is that programming can be learned at any stage and at any age. And don’t be fooled into thinking it’s purely a STEM pursuit. To process the amount of data available offline as well as online, humanities researchers will benefit from having decent programming skills too. 

4. Open research

There’s an increasing movement toward open research practices, from publishing your research open access to sharing data associated with your research in a repository. So it’s vital to understand the many ways you can use open research practices.“Digital skills will definitely be useful, but also everything related to open science, open access,” says Margaux Kersschot.  

Publishing your research open access is a good first step. This will make your published academic articles freely and permanently available online. Anyone, anywhere can read and build upon them. You can read our guide to understand more about how this works.  

In addition to published articles, open research in a broader sense can allow others to see the workings of your research and use or build upon data and ideas. For example, the F1000Research platform gives you the opportunity to share a wide range of different outputs of your work, including documents, posters, slide decks, data notes, and study protocols. 

Sharing your research in an open way can help policymakers, educators, and practitioners access your research and put it into action. And it can also support research validation, research transparency, reproducibility, and replicability of results. Find out more about choosing open . 

5. Delivering research impact

Linked to many of the skills above, particularly communication and collaboration, is research impact.   

Impact is about looking at the effects a piece of research has had. And there are many ways your research could have an impact depending on the nature of the work, from cultural or societal impact to environmental impact, and much more.  

Research impact is an important topic in the research world. Funders, institutions, and researchers themselves are all interested in assessing the quality and impact of research. Plus, demonstrating the impact of research can help you develop your career as a researcher, whether that be increasing your academic profile, or providing evidence of impact when applying for grants or positions that will allow you to take the next step in your career.

Our guide on research impact will help you better understand impact and the skills you’ll need to build to deliver it. And you can also download our Research Impact eBook . 

Where to next?

If you’ve found these tips helpful make sure you listen in full to our podcast episode , which has ideas on everything from using YouTube to promote your papers to translation skills to different career paths. 

And for even more helpful tips, you can look at

Our podcast series for researchers – 15 minutes to develop your research career (which includes the episode mentioned in this post)

The Thesis Whisperer – a blog that contains a wealth of useful advice, whichever research skills you’re looking to develop, from general writing tips to presenting and publishing.

Our Insights newsletter – the latest news, tips, and resources delivered straight to your inbox.

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The Top 5 Qualities of Every Good Researcher

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What makes a good researcher? Is it some undefinable, innate genius, or is it something that we can practice and build upon? If it was just the former, then there would be far fewer innovations in the history of humankind than there have been. A careful look at researchers through the ages reveals that they all have certain attributes in common that have helped contribute to their success.

The characteristics of a good researcher:

1. curiosity.

They ask questions. An endless thirst for knowledge is what sets the best of the best apart from the others. Good researchers constantly strive to learn more, not just about their own field, but about other fields as well. The world around us is fascinating, be it the physics behind the way light refracts, or the anthropological constructions of our society. A good researcher keeps exploring the world and keeps searching for answers.

2. Analytical ability and foresight

They look for connections. Information is useless without interpretation. What drives research forward is finding meaning in our observations and data. Good researchers evaluate data from every angle and search for patterns. They explore cause and effect and untangle the tricky web that interconnects everyday phenomena. And then take it one step further to ask, ‘What is the bigger picture? How will the research develop in the future?’

3. Determination

They try, try, and try again. Research can be a frustrating experience. Experiments may not pan out how we expect them to. Even worse, sometimes experiments may run smoothly until they are 95% complete before failing. What sets an average researcher apart from a truly good one? The truly good researcher perseveres. They accept this disappointment, learn from the failure, reevaluate their experiment, and keep moving forward.

4. Collaboration

Teamwork makes the dream work. Contrary to the common perception of the solitary genius in their lab, research is an extremely collaborative process. There is simply too much to do for just one person to do it all. Moreover, research is becoming increasingly multidisciplinary. It is impossible for just one person to have expertise in all these fields. In general, research is conducted in teams , with each researcher having their individual roles and responsibilities. Being able to coordinate, communicate, and get along with team members is a major factor that can contribute to one’s success as a researcher.

5. Communication

They get their message across. Communication skills are an essential asset for every researcher. Not only do they have to communicate with their team members, but they also have to communicate with co-authors, journals, publishers, and funders. Whether it is writing a crisp and effective abstract, presenting at a conference, or writing a persuasive grant proposal to secure research funding, communication appears everywhere in a researcher’s life. The message in the old adage, ‘If a tree falls in the forest, but no one is around to hear it, does it make a sound?’ applies to research too. A discovery could be groundbreaking, but what is the use if the researcher can’t communicate this discovery to the rest of the world?

These are just a few of the skills required by researchers to make it to the top of their field. Other attributes like creativity and time management are also worth mentioning. Nevertheless, having one or more of these top five characteristics will make the research process smoother for you and increase the chances of positive results. Set yourself up for success by building up these skills, focusing on excellence, and asking for help when you need it. Elsevier Author Services is here to aid you at every step of the research journey. From translation services by experts in the field, to preparing your manuscript for publication, to helping you submit the best possible grant proposal, you can trust us to guide you in your journey to doing great research.

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Research skills

On this page:.

• Introduction
• 1.1 Research seems to have been extremely high-impact historically
• 1.2 There are good theoretical reasons to think that research will be high-impact
• 1.3 Research skills seem extremely useful to the problems we think are most pressing
• 1.4 If you’re a good fit, you can have much more impact than the average
• 1.5 Depending on which subject you focus on, you may have good backup options
• 2.1 Academic research
• 2.2 Practical but big picture research
• 2.3 Applied research
• 2.4 Stages of progression through building and using research skills
• 3.1 How much do researchers differ in productivity?
• 3.2 What does this mean for building research skills?
• 4.1 How to predict your fit in advance
• 4.2 How to tell if you’re on track
• 5.1 Choosing a research field
• 6.1 Which research topics are the highest-impact?
• 6.2 Find jobs that use a research skills
• 7 Career paths we’ve reviewed that use these skills
• 8 Learn more about research

Norman Borlaug was an agricultural scientist. Through years of research, he developed new, high-yielding, disease-resistant varieties of wheat.

It might not sound like much, but as a result of Borlaug’s research, wheat production in India and Pakistan almost doubled between 1965 and 1970, and formerly famine-stricken countries across the world were suddenly able to produce enough food for their entire populations. These developments have been credited with saving up to a billion people from famine, 1 and in 1970, Borlaug was awarded the Nobel Peace Prize.

Many of the highest-impact people in history , whether well-known or completely obscure, have been researchers.

Table of Contents

In a nutshell: Talented researchers are a key bottleneck facing many of the world’s most pressing problems . That doesn’t mean you need to become an academic. While that’s one option (and academia is often a good place to start), lots of the most valuable research happens elsewhere. It’s often cheap to try out developing research skills while at university, and if it’s a good fit for you, research could be your highest impact option.

Key facts on fit

Why are research skills valuable.

Not everyone can be a Norman Borlaug, and not every discovery gets adopted. Nevertheless, we think research can often be one of the most valuable skill sets to build — if you’re a good fit.

We’ll argue that:

Research seems to have been extremely high-impact historically

There are good theoretical reasons to think that research will be high-impact, research skills seem extremely useful to the problems we think are most pressing, if you’re a good fit, you can have much more impact than the average.

• And, depending on which subject you focus on, you may have good backup options .

Together, this suggests that research skills could be particularly useful for having an impact.

Later, we’ll look at:

• How to evaluate your fit for building research skills

How to get started building research skills

• How you can use these skills to have an impact once you’ve started

If we think about what has most improved the modern world, much can be traced back to research: advances in medicine such as the development of vaccines against infectious diseases, developments in physics and chemistry that led to steam power and the industrial revolution , and the invention of the modern computer, an idea which was first proposed by Alan Turing in his seminal 1936 paper On Computable Numbers . 2

Many of these ideas were discovered by a relatively small number of researchers — but they changed all of society. This suggests that these researchers may have had particularly large individual impacts.

That said, research today is probably lower-impact than in the past. Research is much less neglected than it used to be: there are nearly 25 times as many researchers today as there were in 1930. 3 It also turns out that more and more effort is required to discover new ideas, so each additional researcher probably has less impact than those that came before. 4

However, even today, a relatively small fraction of people are engaged in research. As an approximation, only 0.1% of the population are academics, 5 and only about 2.5% of GDP is spent on research and development . If a small number of people account for a large fraction of progress, then on average each person’s efforts are significant.

Moreover, we still think there’s a good case to be made for research being impactful on average today, which we cover in the next two sections.

There’s little commercial incentive to focus on the most socially valuable research. And most researchers don’t get rich, even if their discoveries are extremely valuable. Alan Turing made no money from the discovery of the computer, and today it’s a multibillion-dollar industry. This is because the benefits of research often come a long time in the future and can’t usually be protected by patents. This means if you care more about social impact than profit, then it’s a good opportunity to have an edge.

Research is also a route to leverage. When new ideas are discovered, they can be spread incredibly cheaply, so it’s a way that a single person can change a field. And innovations are cumulative — once an idea has been discovered, it’s added to our stock of knowledge and, in the ideal case, becomes available to everyone. Even ideas that become outdated often speed up the important future discoveries that supersede it.

When you look at our list of the world’s most pressing problems — like preventing future pandemics or reducing risks from AI systems — expert researchers seem like a key bottleneck.

For example, to reduce the risk posed by engineered pandemics , we need people who are talented at research to identify the biggest biosecurity risks and to develop better vaccines and treatments.

To ensure that developments in AI are implemented safely and for the benefit of humanity, we need technical experts thinking hard about how to design machine learning systems safely and policy researchers to think about how governments and other institutions should respond. (See this list of relevant research questions .)

And to decide which global priorities we should spend our limited resources on, we need economists, mathematicians, and philosophers to do global priorities research . For example, see the research agenda of the Global Priorities Institute at Oxford .

We’re not sure why so many of the most promising ways to make progress on the problems we think are most pressing involve research, but it may well be due to the reasons in the section above — research offers huge opportunities for leverage, so if you take a hits-based approach to finding the best solutions to social problems, it’ll often be most attractive.

In addition, our focus on neglected problems often means we focus on smaller and less developed areas, and it’s often unclear what the best solutions are in these areas. This means that research is required to figure this out.

For more examples, and to get a sense of what you might be able to work on in different fields, see this list of potentially high-impact research questions, organised by discipline .

The sections above give reasons why research can be expected to be impactful in general . But as we’ll show below , the productivity of individual researchers probably varies a great deal (and more than in most other careers). This means that if you have reason to think your degree of fit is better than average, your expected impact could be much higher than the average.

Depending on which subject you focus on, you may have good backup options

Pursuing research helps you develop deep expertise on a topic, problem-solving, and writing skills. These can be useful in many other career paths. For example:

• Many research areas can lead to opportunities in policymaking , since relevant technical expertise is valued in some of these positions. You might also have opportunities to advise policymakers and the public as an expert.
• The expertise and credibility you can develop by focusing on research (especially in academia) can put you in a good position to switch your focus to communicating important ideas , especially those related to your speciality, either to the general public, policymakers, or your students.
• If you specialise in an applied quantitative subject, it can open up certain high-paying jobs, such as quantitative trading or data science , which offer good opportunities for earning to give .

Some research areas will have much better backup options than others — lots of jobs value applied quantitative skills, so if your research is quantitative you may be able to transition into work in effective nonprofits or government. A history academic, by contrast, has many fewer clear backup options outside of academia.

What does building research skills typically involve?

By ‘research skills’ we broadly mean the ability to make progress solving difficult intellectual problems.

We find it especially useful to roughly divide research skills into three forms:

• Academic research

Building academic research skills is the most predefined route. The focus is on answering relatively fundamental questions which are considered valuable by a specific academic discipline. This can be impactful either through generally advancing a field of research that’s valuable to society or finding opportunities to work on socially important questions within that field.

Turing was an academic. He didn’t just invent the computer — during World War II he developed code-breaking machines that allowed the Allies to be far more effective against Nazi U-boats. Some historians estimate this enabled D-Day to happen a year earlier than it would have otherwise. 6 Since World War II resulted in 10 million deaths per year, Turing may have saved about 10 million lives.

We’re particularly excited about academic research in subfields of machine learning relevant to reducing risks from AI , subfields of biology relevant to preventing catastrophic pandemics , and economics — we discuss which fields you should enter below .

Academic careers are also excellent for developing credibility, leading to many of the backup options we looked at above, especially options in communicating important ideas or policymaking .

Academia is relatively unique in how flexibly you can use your time. This can be a big advantage — you really get time to think deeply and carefully about things — but can be a hindrance, depending on your work style.

See more about what academia involves in our career review on academia .

Practical but big picture research

Academia rewards a focus on questions that can be decisively answered with the methods of the field. However, the most important questions can rarely be answered rigorously — the best we can do is look at many weak forms of evidence and come to a reasonable overall judgement. which means while some of this research happens in academia, it can be hard to do that.

Instead, this kind of research is often done in nonprofit research institutes, e.g. the Centre for the Governance of AI or Our World in Data , or independently.

Your focus should be on answering the questions that seem most important (given your view of which global problems most matter) through whatever means are most effective.

Some examples of questions in this category that we’re especially interested in include:

• How likely is a pandemic worse than COVID-19 in the next 10 years?
• How difficult is the AI alignment problem going to be to solve?
• Which global problems are most pressing?
• Is the world getting better or worse over time?
• What can we learn from the history of philanthropy about which forms of philanthropy might be most effective?

You can see a longer list of ideas in this article .

Someone we know who’s had a big impact with research skills is Ajeya Cotra. Ajeya initially studied electrical engineering and computer science at UC Berkeley. In 2016, she joined Open Philanthropy as a grantmaker. 7 Since then she’s worked on a framework for estimating when transformative AI might be developed , how worldview diversification could be applied to allocating philanthropic budgets, and how we might accidentally teach AI models to deceive us .

Applied research

Then there’s applied research. This is often done within companies or nonprofits, like think tanks (although again, there’s also plenty of applied research happening in academia). Here the focus is on solving a more immediate practical problem (and if pursued by a company, where it might be possible to make profit from the solution) — and there’s lots of overlap with engineering skills . For example:

• Developing new vaccines
• Creating new types of solar cells or nuclear reactors
• Developing meat substitutes

Neel was doing an undergraduate degree in maths when he decided that he wanted to work in AI safety . Our team was able to introduce Neel to researchers in the field and helped him secure internships in academic and industry research groups. Neel didn’t feel like he was a great fit for academia — he hates writing papers — so he applied to roles in commercial AI research labs. He’s now a research engineer at DeepMind. He works on mechanistic interpretability research which he thinks could be used in the future to help identify potentially dangerous AI systems before they can cause harm.

We also see “policy research” — which aims to develop better ideas for public policy — as a form of applied research.

Stages of progression through building and using research skills

These different forms of research blur into each other, and it’s often possible to switch between them during a career. In particular, it’s common to begin in academic research and then switch to more applied research later.

However, while the skill sets contain a common core, someone who can excel in intellectual academic research might not be well-suited to big picture practical or applied research.

The typical stages in an academic career involve the following steps:

• Pick a field. This should be heavily based on personal fit (where you expect to be most successful and enjoy your work the most), though it’s also useful to think about which fields offer the best opportunities to help tackle the problems you think are most pressing, give you expertise that’s especially useful given these problems, and use that at least as a tie-breaker. (Read more about choosing a field .)
• Earn a PhD.
• Learn your craft and establish your career — find somewhere you can get great mentorship and publish a lot of impressive papers. This usually means finding a postdoc with a good group and then temporary academic positions.
• Secure tenure.
• Focus on the research you think is most socially valuable (or otherwise move your focus towards communicating ideas or policy).

Academia is usually seen as the most prestigious path…within academia. But non-academic positions can be just as impactful — and often more so since you can avoid some of the dysfunctions and distractions of academia, such as racing to get publications.

At any point after your PhD (and sometimes with only a master’s), it’s usually possible to switch to applied research in industry, policy, nonprofits, and so on, though typically you’ll still focus on getting mentorship and learning for at least a couple of years. And you may also need to take some steps to establish your career enough to turn your attention to topics that seem more impactful.

Note that from within academia, the incentives to continue with academia are strong, so people often continue longer than they should!

If you’re focused on practical big picture research, then there’s less of an established pathway, and a PhD isn’t required.

Besides academia, you could attempt to build these skills in any job that involves making difficult, messy intellectual judgement calls, such as investigative journalism, certain forms of consulting, buy-side research in finance, think tanks, or any form of forecasting.

Personal fit is perhaps more important for research than other skills

The most talented researchers seem to differ hugely in their impact compared to typical researchers across a wide variety of metrics and according to the opinions of other researchers.

For instance, when we surveyed biomedical researchers, they said that very good researchers were rare, and they’d be willing to turn down large amounts of money if they could get a good researcher for their lab. 8 Professor John Todd, who works on medical genetics at Cambridge, told us :

The best people are the biggest struggle. The funding isn’t a problem. It’s getting really special people[…] One good person can cover the ground of five, and I’m not exaggerating.

This makes sense if you think the distribution of research output is very wide — that the very best researchers have a much greater output than the average researcher.

How much do researchers differ in productivity?

It’s hard to know exactly how spread out the distribution is, but there are several strands of evidence that suggest the variability is very high.

Firstly, most academic papers get very few citations, while a few get hundreds or even thousands. An analysis of citation counts in science journals found that ~47% of papers had never been cited, more than 80% had been cited 10 times or less, but the top 0.1% had been cited more than 1,000 times. A similar pattern seems to hold across individual researchers , meaning that only a few dominate — at least in terms of the recognition their papers receive.

Citation count is a highly imperfect measure of research quality, so these figures shouldn’t be taken at face-value. For instance, which papers get cited the most may depend at least partly on random factors, academic fashions, and “winner takes all” effects — papers that get noticed early end up being cited by everyone to back up a certain claim, even if they don’t actually represent the research that most advanced the field.

However, there are other reasons to think the distribution of output is highly skewed.

William Shockley, who won the Nobel Prize for the invention of the transistor, gathered statistics on all the research employees in national labs, university departments, and other research units, and found that productivity (as measured by total number of publications, rate of publication, and number of patents) was highly skewed , following a log-normal distribution.

Shockley suggests that researcher output is the product of several (normally distributed) random variables — such as the ability to think of a good question to ask, figure out how to tackle the question, recognize when a worthwhile result has been found, write adequately, respond well to feedback, and so on. This would explain the skewed distribution: if research output depends on eight different factors and their contribution is multiplicative, then a person who is 50% above average in each of the eight areas will in expectation be 26 times more productive than average. 9

When we looked at up-to-date data on how productivity differs across many different areas , we found very similar results. The bottom line is that research seems to perhaps be the area where we have the best evidence for output being heavy-tailed.

Interestingly, while there’s a huge spread in productivity, the most productive academic researchers are rarely paid 10 times more than the median, since they’re on fixed university pay-scales. This means that the most productive researchers yield a large “excess” value to their field. For instance, if a productive researcher adds 10 times more value to the field than average, but is paid the same as average, they will be producing at least nine times as much net benefit to society. This suggests that top researchers are underpaid relative to their contribution, discouraging them from pursuing research and making research skills undersupplied compared to what would be ideal.

Can you predict these differences in advance?

Practically, the important question isn’t how big the spread is, but whether you could — early on in your career — identify whether or not you’ll be among the very best researchers.

There’s good news here! At least in scientific research, these differences also seem to be at least somewhat predictable ahead of time, which means the people entering research with the best fit could have many times more expected impact.

In a study , two IMF economists looked at maths professors’ scores in the International Mathematical Olympiad — a prestigious maths competition for high school students. They concluded that each additional point scored on the International Mathematics Olympiad “is associated with a 2.6 percent increase in mathematics publications and a 4.5 percent increase in mathematics citations.”

We looked at a range of data on how predictable productivity differences are in various areas and found that they’re much more predictable in research.

What does this mean for building research skills?

The large spread in productivity makes building strong research skills a lot more promising if you’re a better fit than average. And if you’re a great fit, research can easily become your best option.

And while these differences in output are not fully predictable at the start of a career, the spread is so large that it’s likely still possible to predict differences in productivity with some reliability.

This also means you should mainly be evaluating your long-term expected impact in terms of your chances of having a really big success.

That said, don’t rule yourself out too early. Firstly, many people systematically underestimate their skills . (Though others overestimate them!) Also, the impact of research can be so large that it’s often worth trying it out, even if you don’t expect you’ll succeed . This is especially true because the early steps of a research career often give you good career capital for many other paths.

How to evaluate your fit

How to predict your fit in advance.

It’s hard to predict success in advance, so we encourage an empirical approach: see if you can try it out and look at your track record.

You probably have some track record in research: many of our readers have some experience in academia from doing a degree, whether or not they intended to go into academic research. Standard academic success can also point towards being a good fit (though is nowhere near sufficient!):

• Did you get top grades at undergraduate level (a 1st in the UK or a GPA over 3.5 in the US)?
• If you do a graduate degree, what’s your class rank (if you can find that out)? If you do a PhD, did you manage to author an article in a top journal (although note that this is easier in some disciplines than others)?

Ultimately, though, your academic track record isn’t going to tell you anywhere near as much as actually trying out research. So it’s worth looking for ways to cheaply try out research (which can be easy if you’re at college). For example, try doing a summer research project and see how it goes.

Some of the key traits that suggest you might be a good fit for a research skills seem to be:

• Intelligence (Read more about whether intelligence is important for research .)
• The potential to become obsessed with a topic ( Becoming an expert in anything can take decades of focused practice , so you need to be able to stick with it.)
• Relatedly, high levels of grit, self-motivation, and — especially for independent big picture research, but also for research in academia — the ability to learn and work productively without a traditional manager or many externally imposed deadlines
• Openness to new ideas and intellectual curiosity
• Good research taste, i.e. noticing when a research question matters a lot for solving a pressing problem

There are a number of other cheap ways you might try to test your fit.

Something you can do at any stage is practice research and research-based writing. One way to get started is to try learning by writing .

You could also try:

• Finding out what the prerequisites/normal backgrounds of people who go into a research area are to compare your skills and experience to them
• Reading key research in your area, trying to contribute to discussions with other researchers (e.g. via a blog or twitter), and getting feedback on your ideas
• Talking to successful researchers in a field and asking what they look for in new researchers

How to tell if you’re on track

Here are some broad milestones you could aim for while becoming a researcher:

• You’re successfully devoting time to building your research skills and communicating your findings to others. (This can often be the hardest milestone to hit for many — it can be hard to simply sustain motivation and productivity given how self-directed research often needs to be.)
• In your own judgement, you feel you have made and explained multiple novel, valid, nontrivially important (though not necessarily earth-shattering) points about important topics in your area.
• You’ve had enough feedback (comments, formal reviews, personal communication) to feel that at least several other people (whose judgement you respect and who have put serious time into thinking about your area) agree, and (as a result) feel they’ve learned something from your work. For example, lots of this feedback could come from an academic supervisor. Make sure you’re asking people in a way that gives them affordance to say you’re not doing well.
• You’re making meaningful connections with others interested in your area — connections that seem likely to lead to further funding and/or job opportunities. This could be from the organisations most devoted to your topics of interest; but, there could also be a “dissident” dynamic in which these organisations seem uninterested and/or defensive, but others are noticing this and offering help.

If you’re finding it hard to make progress in a research environment, it’s very possible that this is the result of that particular environment, rather than the research itself. So it can be worth testing out multiple different research jobs before deciding this skill set isn’t for you.

Within academic research

Academia has clearly defined stages, so you can see how you’re performing at each of these.

Very roughly, you can try asking “How quickly and impressively is my career advancing, by the standards of my institution and field?” (Be careful to consider the field as a whole, rather than just your immediate peers, who might be very different from average.) Academics with more experience than you may be able to help give you a clear idea of how things are going.

We go through this in detail in our review of academic research careers .

Within independent research

As a very rough guideline, people who are an excellent fit for independent research can often reach the broad milestones above with a year of full-time effort purely focusing on building a research skill set, or 2–3 years of 20%-time independent effort (i.e. one day per week).

Within research in industry or policy

The stages here can look more like an organisation-building career , and you can also assess your fit by looking at your rate of progression through the organisation.

As we mentioned above , if you’ve done an undergraduate degree, one obvious pathway into research is to go to graduate school ( read our advice on choosing a graduate programme ) and then attempt to enter academia before deciding whether to continue or pursue positions outside of academia later in your career.

If you take the academic path, then the next steps are relatively clear. You’ll want to try to get excellent grades in undergraduate and in your master’s, ideally gain some kind of research experience in your summers, and then enter the best PhD programme you can. From there, focus on learning your craft by working under the best researcher you can find as a mentor and working in a top hub for your field. Try to publish as many papers as possible since that’s required to land an academic position.

It’s also not necessary to go to graduate school to become a great researcher (though this depends a lot on the field), especially if you’re very talented. For instance, we interviewed Chris Olah , who is working on AI research without even an undergraduate degree.

You can enter many non-academic research jobs without a background in academia. So one starting point for building up research skills would be getting a job at an organisation specifically focused on the type of question you’re interested in. For examples, take a look at our list of recommended organisations , many of which conduct non-academic research in areas relevant to pressing problems .

More generally, you can learn research skills in any job that heavily features making difficult intellectual judgement calls and bets, preferably on topics that are related to the questions you’re interested in researching. These might include jobs in finance, political analysis, or even nonprofits.

Another common route — depending on your field — is to develop software and tech skills and then apply them at research organisations. For instance, here’s a guide to how to transition from software engineering into AI safety research .

If you’re interested in doing practical big-picture research (especially outside academia), it’s also possible to establish your career through self-study and independent work — during your free time or on scholarships designed for this (such as EA Long-Term Future Fund grants and Open Philanthropy support for individuals working on relevant topics ).

Some example approaches you might take to self-study:

• Closely and critically review some pieces of writing and argumentation on relevant topics. Explain the parts you agree with as clearly as you can and/or explain one or more of your key disagreements.
• Pick a relevant question and write up your current view and reasoning on it. Alternatively, write up your current view and reasoning on some sub-question that comes up as you’re thinking about it.
• Then get feedback, ideally from professional researchers or those who use similar kinds of research in their jobs.

It could also be beneficial to start with some easier versions of this sort of exercise, such as:

• Explaining or critiquing interesting arguments made on any topic you find motivating to write about
• Writing fact posts
• Reviewing the academic literature on any topic of interest and trying to reach and explain a bottom-line conclusion

In general, it’s not necessary to obsess over being “original” or having some new insight at the beginning. You can learn a lot just by trying to write up your current understanding.

Choosing a research field

When you’re getting started building research skills, there are three factors to consider in choosing a field:

• Personal fit — what are your chances of being a top researcher in the area? Even if you work on an important question, you won’t make much difference if you’re not particularly good at it or motivated to work on the problem.
• Impact — how likely is it that research in your field will contribute to solving pressing problems?
• Back-up options — how will the skills you build open up other options if you decide to change fields (or leave research altogether)?

One way to go about making a decision is to roughly narrow down fields by relevance and back-up options and then pick among your shortlist based on personal fit.

We’ve found that, especially when they’re getting started building research skills, people sometimes think too narrowly about what they can be good at and enjoy. Instead, they end up pigeonholing themselves in a specific area (for example being restricted by the field of their undergraduate degree). This can be harmful because it means people who could contribute to highly important research don’t even consider it. This increases the importance of writing a broad list of possible areas to research.

Given our list of the world’s most pressing problems , we think some of the most promising fields to do research within are as follows:

• Fields relevant to artificial intelligence, especially machine learning , but also computer science more broadly. This is mainly to work on AI safety directly, though there are also many opportunities to apply machine learning to other problems (as well as many back-up options).
• Biology, particularly synthetic biology, virology, public health, and epidemiology. This is mainly for biosecurity .
• Economics . This is for global priorities research , development economics, or policy research relevant to any cause area, especially global catastrophic risks.
• Engineering — read about developing and using engineering skills to have an impact .
• International relations/political science, including security studies and public policy — these enable you to do research into policy approaches to mitigating catastrophic risks and are also a good route into careers in government and policy more broadly.
• Mathematics, including applied maths or statistics (or even physics). This may be a good choice if you’re very uncertain, as it teaches you skills that can be applied to a whole range of different problems — and lets you move into most of the other fields we list. It’s relatively easy to move from a mathematical PhD into machine learning, economics, biology, or political science, and there are opportunities to apply quantitative methods to a wide range of other fields. They also offer good back-up options outside of research.
• There are many important topics in philosophy and history, but these fields are unusually hard to advance within, and don’t have as good back-up options. (We do know lots of people with philosophy PhDs who have gone on to do other great, non-philosophy work!)

However, many different kinds of research skills can play a role in tackling pressing global problems.

Choosing a sub-field can sometimes be almost as important as choosing a field. For example, in some sciences the particular lab you join will determine your research agenda — and this can shape your entire career.

And as we’ve covered, personal fit is especially important in research. This can mean it’s easily worth going into a field that seems less relevant on average if you are an excellent fit. (This is due both to the value of the research you might produce and the excellent career capital that comes from becoming top of an academic field.)

For instance, while we most often recommend the fields above, we’d be excited to see some of our readers go into history , psychology, neuroscience, and a whole number of other fields. And if you have a different view of global priorities from us, there might be many other highly relevant fields.

Once you have these skills, how can you best apply them to have an impact?

Richard Hamming used to annoy his colleagues by asking them “What’s the most important question in your field?”, and then after they’d explained, following up with “And why aren’t you working on it?”

You don’t always need to work on the very most important question in your field, but Hamming has a point. Researchers often drift into a narrow speciality and can get detached from the questions that really matter.

Now let’s suppose you’ve chosen a field, learned your craft, and are established enough that you have some freedom about where to focus. Which research questions should you focus on?

Which research topics are the highest-impact?

Charles Darwin travelled the oceans to carefully document different species of birds on a small collection of islands — documentation which later became fuel for the theory of evolution. This illustrates how hard it is to predict which research will be most impactful.

What’s more, we can’t know what we’re going to discover until we’ve discovered it, so research has an inherent degree of unpredictability. There’s certainly an argument for curiosity-driven research without a clear agenda.

That said, we think it’s also possible to increase your chances of working on something relevant, and the best approach is to try to find topics that both personally motivate you and seem more likely than average to matter. Here are some approaches to doing that.

Using the problem framework

One approach is to ask yourself which global problems you think are most pressing , and then try to identify research questions that are:

• Important to making progress on those problems (i.e. if this question were answered, it would lead to more progress on these problems)
• Neglected by other researchers (e.g. because they’re at the intersection of two fields, unpopular for bad reasons, or new)
• Tractable (i.e. you can see a path to making progress)

The best research questions will score at least moderately well on all parts of this framework. Building a perpetual motion machine is extremely important — if we could do it, then we’d solve our energy problems — but we have good reason to think it’s impossible, so it’s not worth working on. Similarly, a problem can be important but already have the attention of many extremely talented researchers, meaning your extra efforts won’t go very far.

Finding these questions, however, is difficult. Often, the only way to identify a particularly promising research question is to be an expert in that field! That’s because (when researchers are doing their jobs), they will be taking the most obvious opportunities already.

However, the incentives within research rarely perfectly line up with the questions that most matter (especially if you have unusual values, like more concern for future generations or animals). This means that some questions often get unfairly neglected. If you’re someone who does care a lot about positive impact and have some slack, you can have a greater-than-average impact by looking for them.

Below are some more ways of finding those questions (which you can use in addition to directly applying the framework above).

Rules of thumb for finding unfairly neglected questions

• There’s little money in answering the question. This can be because the problem mostly affects poorer people, people who are in the future , or non-humans, or because it involves public goods . This means there’s little incentive for businesses to do research on this question.
• The political incentives to answer the question are missing. This can happen when the problem hurts poorer or otherwise marginalised people, people who tend not to organise politically, people in countries outside the one where the research is most likely to get done, people who are in the future , or non-humans. This means there’s no incentive for governments or other public actors to research this question.
• It’s new, doesn’t already have an established discipline, or is at the intersection of two disciplines. The first researchers in an area tend to take any low hanging fruit, and it gets harder and harder from there to make big discoveries. For example, the rate of progress within machine learning is far higher than the rate of progress within theoretical physics. At the same time, the structure of academia means most researchers stay stuck within the field they start in, and it can be hard to get funding to branch out into other areas. This means that new fields or questions at the intersection of two disciplines often get unfairly neglected and therefore provide opportunities for outsized impact.
• There is some aspect of human irrationality that means people don’t correctly prioritise the issue. For instance, some issues are easy to visualise, which makes them more motivating to work on. People are scope blind which means they’re likely to neglect the issues with the very biggest scale. They’re also bad at reasoning about issues with low probability, which can make them either over-invest or under-invest in them.
• Working on the question is low status. In academia, research that’s intellectually interesting and fits the research standards of the discipline are high status. Also, mathematical and theoretical work tends to be seen as higher status (and therefore helps to progress your career). But these don’t correlate that well with the social value of the question.
• You’re bringing new skills or a new perspective to an established area. Progress often comes in science from bringing the techniques and insights of one field into another. For instance, Kahneman started a revolution in economics by applying findings from psychology. Cross-over is an obvious approach but is rarely used because researchers tend to be immersed in their own particular subject.

If you think you’ve found a research question that’s short on talent, it’s worth checking whether the question is answerable. People might be avoiding the question because it’s just extremely difficult to find an answer. Or perhaps progress isn’t possible at all. Ask yourself, “If there were progress on this question, how would we know?”

Finally, as we’ve discussed, personal fit is particularly important in research . So position yourself to work on questions where you maximise your chances of producing top work.

Find jobs that use a research skills

If you have these skills already or are developing it and you’re ready to start looking at job opportunities that are currently accepting applications, see our curated list of opportunities for this skill set:

View all opportunities

Career paths we’ve reviewed that use these skills

• AI safety technical research and engineering
• AI governance and coordination
• Biorisk research
• China-related AI safety and governance paths
• Grantmaker focused on pressing world problems
• Research into global priorities
• Forecasting and related research and implementation
• Historian of large societal trends, inflection points, progress or collapse
• Expert in AI hardware

Specialist in emerging global powers

• Investigate a potentially pressing but unexplored global issue
• Research management
• Think tank research
• Research and advocacy promoting impactful climate solutions
• Improving China-Western coordination on global catastrophic risks
• Engineering
• Economics PhDs
• Machine learning PhDs
• Biomedical research
• Computer science PhDs
• Data science
• Philosophy academia

Learn more about research

• High Impact Science by Carl Shulman
• How to succeed as an early-stage researcher: the “lean startup” approach
• Podcast: Luisa and Robert Long on how to make independent research more fun
• A list of potentially high-impact research questions, organised by discipline

See all our articles and podcasts on research careers .

Read next:  Explore other useful skills

Want to learn more about the most useful skills for solving global problems, according to our research? See our list.

Plus, join our newsletter and we’ll mail you a free book

Join our newsletter and we’ll send you a free copy of The Precipice — a book by philosopher Toby Ord about how to tackle the greatest threats facing humanity. T&Cs here .

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Notes and references

• “Green Revolution technology saved an estimated one billion people from famine and produced more than enough food for a world population that doubled from three to six billion between 1960 and 2000.” Archived link , retrieved 5-Nov-2018. ↩
• Turing, A. M. (1937). “ On Computable Numbers, with an Application to the Entscheidungsproblem “. Proceedings of the London Mathematical Society. 2. 42 (1): 230–265. ↩
• See Figure 1 of Bloom et al, (2017) ↩
• “We present a wide range of evidence from various industries, products and firms showing that research effort is rising substantially while research productivity is declining sharply. A good example is Moore’s law. The number of researchers required today to achieve the famous doubling every two years of the density of computer chips is more than 18 times larger than the number required in the early 1970s.” Bloom, N., Jones, C. I., Van Reenen, J., & Webb, M. (2017). Are ideas getting harder to find? National Bureau of Economic Research. ↩
• The number of academics and graduate students in the world ↩

If Turing and his group had not weakened the U-boats’ hold on the North Atlantic, the 1944 Allied invasion of Europe — the D-Day landings — could have been delayed, perhaps by about a year or even longer, since the North Atlantic was the route that ammunition, fuel, food and troops had to travel in order to reach Britain from America. ↩

• Open Philanthropy is 80,000 Hours’ largest funder, as of 2023 ↩

Sir Andrew McMichael, leading HIV vaccine researcher

For the good person whose CV you just described, would you prefer their CV landing on your desk or an extra grant?

“It’s not a simple choice. If they’re that good, they’ll probably get their own funding at some point. You can take them on without huge risk. I would always take the person.” How about if you could have half a million pound grant?

“It’s hard to turn down half a million pounds. I wouldn’t know many groups who would. You could buy another machine or do another project that would be too expensive otherwise. It depends on how much money I’ve got there already. It’s fantastic to get good people though, no question.”

Can good researchers always get funding?

“Yes, reasonably easily. Everyone can get bad patches. It’s unusual to always be on top of everything. For instance, you can get a dip at the end of a line of work, while you’re getting ready to start something else. But on the whole they can.”

John Todd, a Professor of Medical Genetics at Cambridge

Would you prefer £100,000 per year or [a good person] working for you?

“Definitely the guy”

How about £0.5mn per year?

“I’d still take the person at £0.5mn. By £5mn, I’d prefer the money! There’s a cut off somewhere between the two.”

Why would you pay so much?

“It’s very difficult to find brilliant people who have the true grit to get things done, even if it takes a long time. Most of them end up in the city.”

“The best people are the biggest struggle. The funding isn’t a problem. It’s getting really special people. I call them the one percenters…If you have a good person, it’s easy to get the grants for them. I don’t think there’s a really good researcher out there who couldn’t get funding from the MRC or Wellcome Trust.”

“One good guy can cover the ground of five, and I’m not exaggerating”

Katie Ewer, a cellular immunologist

Is your impression that it’s harder to find good researchers or additional funding?

“In order for research to progress, you need lots of different types of people within an organisation. You need people who are very methodical in what they do and are capable of doing large volumes of high through-put work, and then you need a few people at the top with the creativity to pull ideas out of the sky that nobody else would ever think of and convince Bill Gates to give you £1 million. I guess if you have somebody like that in your institution who is that creative and has that amazing ability and insight, then you can probably convince people to give you £1 million. But funding is always limited. We could proceed our field more quickly if we had as much funding as the HIV field.”

“If you are uniquely gifted in scientific research, then you should probably be a scientific researcher. But for the other 99.9% of the population, they’re probably best going and earning £1 million elsewhere and funding research.” ↩

• “Differences in rates of scientific production are much bigger than differences in the rates of performing simpler acts, such as the rate of running the mile, or the number of words a man can speak per minute… a large number of factors are involved so that small changes in each, all in the same direction, may result in a very large change in output. For example, the number of ideas a scientist can bring into awareness at one time may control his ability to make an invention and his rate of invention may increase very rapidly with this number.” Shockley, W. (1957) On the statistics of individual variations of productivity in research laboratories . Proceedings of the IRE, 45(3), 279-290. ↩

Educational resources and simple solutions for your research journey

Top 10 Qualities and Characteristics of a Good Researcher

Year after year, people with different personalities and backgrounds step into the field of research eager to develop the key qualities of a good researcher , only to find themselves faced with anxiety and self-doubt. Becoming a good researcher is a challenging task that requires a combination of skills and attributes as well as time, dedication, and a lot of hard work.   

So what are the qualities of a good researcher and how does one build these must-have characteristics? This article answers this by sharing the top 10 qualities of a good researcher that you must work to develop, strengthen, and apply on your journey to research success.   

Table of Contents

Top 10 qualities of a good researcher  

• Curiosity:  A curious mind and an ability to look at things from different perspectives is what makes a good researcher better. Good researchers are observant about the world around them and open to new ideas and possibilities; they are always asking questions and looking for answers. This ability to see the bigger picture while being curious about the smaller details is what makes a good researcher explore new ideas, test hypotheses, and make new discoveries.
• Critical thinking:  Successful researchers can think critically about the information they gather while reading about new developments in their own and related fields. This is an essential characteristic of a good researcher . Instead of simply accepting existing knowledge as fact, you need to have the ability to analyze and evaluate the validity and reliability of sources, consider alternative explanations for results you observe, and find connections between seemingly unrelated concepts.

• Creativity:  The qualities of a good researcher do not just include curiosity and critical thinking, but also thinking creatively when it comes to problem solving. Nurturing the ability to think outside the box and come up with novel and often unconventional solutions to challenges you face is how to become a better researcher. This allows you to come up with more ground-breaking research studies and results addressing issues that others might easily miss.
• Objectivity:  Nurturing preconceived notions is detrimental to research. Avoid temptations to make unconclusive statements or introduce personal biases into research, which will impact your research and standing in the long run. Remember, building essential qualities of a good researcher means consciously keeping aside personal preferences and biases and applying sound judgement to your work even when under pressure.
• Collaborative spirit:  An important characteristic of a good researcher is being able to work well with others. With a shift toward more collaborative research, successful researchers often connect with and work with peers to come up with innovative approaches to research problems. While sharing ideas and partnering with other researchers can lead to breakthroughs and boost your researcher reputation, it also opens the door for your work to reach and potentially benefit a wider audience.
• Communication skills:  An added strength of a good researcher is being able to communicate your findings clearly and effectively, which is a key contributor to your success. This is applicable when writing your manuscripts, presenting at conferences, as well as when seeking funding for your work. Good researchers can explain their research to both specialists and non-specialists to ensure their work is understood and appreciated by a wider audience.
• Attention to detail:  One of the key qualities of a good researcher is being meticulous in your work. Researchers need to pay attention to every detail, from the design of an experiment to the analysis of data, and further in writing and submitting their manuscript for publication. This crucial characteristic can help you ensure your research is accurate, testable, and reliable, and also gives your manuscripts a better chance of acceptance.
• Time management:  To understand what are the characteristics of a good researcher , first ask yourself if you manage your time well. Most successful researchers organize, prioritize, and optimize their time efficiently, allowing them to not only keep up with their responsibilities but also make time for personal tasks. If you’re being pulled in different directions or overwhelmed with trying to manage your research, stay updated on your research reading, or meeting your writing deadlines, consider honing this skill as a prerequisite to becoming a good researcher.
• Persistence & flexibility:  Research can be a long, difficult process with several hurdles and changes along the way. One of the key requirements to becoming a good researcher is being able to adapt to new technologies and changing circumstances and persevere despite setbacks and challenges that inevitably arise. Developing the qualities of a good researcher means anticipating problems, adjusting plans to tackle challenges head-on, and being patient while moving forward toward achieving your goals.
• Focus on self-care:  Anxiety, stress, and mental health issues are common among academics. Successful researchers are better equipped to manage this by adopting a healthy balanced lifestyle. Understanding what works for you can also improve your efficiency and productivity. Being aware of your strengths and weaknesses and using this to your advantage is key to becoming a good researcher.

In conclusion, perfecting the characteristics of a good researcher is not quick or easy, but by working consistently toward developing or strengthening these essential qualities, you will be well on your way to finding success as a well-established researcher.  

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Research skills: Examples + how to improve them

No matter what career path you choose to take, research skills are one of the key graduate career skills that will help you impress employers in applications and support you throughout your entire working life. 

Research skills are essential in problem-solving; learning how to improve research skills is therefore a great way to prepare for the workplace and improve your overall skill set in your early career. In this article, you’ll find out what research skills are, how to improve your research skills and much more. 

• What are research skills?
• Examples of research skills
• Jobs that require research skills
• How to improve research skills

How to use research skills at your workplace

How to include research skills in a cv, how to include research skills in a cover letter.

• How to demonstrate your research skills at a job interview

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What are research skills? 

Research skills refer to an individual’s ability to source information about a certain topic, and effectively extract and evaluate the information in order to answer questions or solve problems. 

Research skills are soft skills that are highly sought after by employers as they show a candidate’s ability to understand and analyse a variety of materials and sources. Whether you’re studying or already in the workplace, research skills are important transferable skills to have in any role or sector that you choose.

These skills can be constantly improved, and this is a great way to develop in your early career and prepare for the workplace. For example, your manager might ask you to conduct research or analysis for various projects, where these skills will be essential for your success. 

Learn how to develop your entire transferable skillset with this free online learning course. You'll also get a certificate once you complete the course that you can display on your CV and LinkedIn profile.

Examples of research skills 

During your time at school and university, you will have used a variety of research skills to complete projects and assignments. If you’re not sure what research skills look like in practice, here are some examples: 

Data collection 

Data collection is the process of systematically gathering information in order to solve problems, answer questions and better understand a particular topic. The information or data that you are collecting can be quantitative or qualitative; it can be collected through using surveys, interviews, reviewing existing materials and more to solve a particular problem.

At university, you would need to read broadly on a certain topic or conduct a literature review for a certain project. This is all data collection, and you can develop and use these experiences in your future role too. 

Critical thinking

Critical thinking is the ability to interpret and analyse information in order to form a particular judgement or evaluation. Someone who is a great critical thinker will be able to apply their knowledge (informed by evidence from, for example, data collection) to think rationally and come to a conclusion. Critical thinking is key in the workplace as it means you can analyse and evaluate strategically, to come to a judgement that will inform a particular action or idea.

Detail orientation 

Another key example of a research skill is detail orientation, or the ability to focus on small details. Someone who is detail-oriented will be able to notice small mistakes and will be able to deliver high-quality and accurate work. When solving problems, this is essential, as the ability to extract and evaluate information with accuracy is important for the validity of your research and will help drive high-quality results. 

Time management 

Time management is the ability to organise your time when planning different activities and projects. Effective time management means you’re able to balance your workload and ensure all tasks are completed within an allotted time. This is important for your research skills, as it means you are able to effectively delegate your time between data collection, analysis and evaluation.

Jobs that require research skills 

• External auditors have great attention to detail to investigate organisations. In an external auditor role, you will need to research policies and regulations, analyse data provided by the organisation and draw conclusions for a report.
• A strategist in the financial sector looks at an organisation’s finances to come up with plans for the future. You need great analytical and evaluative skills in order to understand the best options for your clients and turn a rational judgement into action. 
• A role in the Civil Service involves researching, developing and maintaining policy in the UK. Being able to inform your decisions with evidence, and manage your time effectively, is key. 
• In the role of a data scientist , you will need to conduct research to understand why a client or company needs a data scientist, and be able to analyse effectively to see big patterns in large amounts of data. 
• Clinical scientists must carefully analyse and process large amounts of data, requiring strong research skills and detail orientation.

Not quite sure about the type of career you should pursue? Take our Career Path Test and get matched with the career paths and sectors that meet your interests. 

How to improve research skills 

• Practise your time management and organisation skills: Whether you’re at university or in your early career, it’s important to start learning how to balance your time effectively to complete a number of tasks. For your next project, try setting out clear activities that need to be completed, how long you need to spend on each, and a timeline for when each task will be started and completed. 
• Learn how to write reports: In any research process or project, you will need to summarise and evaluate your findings in a written report in a clear and concise way. Make sure to include the objective of your research, a summary of your findings, and the judgements you have made from the evidence you found. 
• Read more widely: One of the core aspects of research and analysis is the ability to extract information from a variety of materials. Reading more widely will improve your data collection skills and will give you experience with forming judgements from a range of sources and on a number of topics.
• Plan . Before you start a project at work, make sure you’ve taken time to plan what tasks you need to do, and how long each will take, to understand the timelines of the project. This allows you to set aside dedicated time for the research phase, for example, before analysing data or putting ideas into action.
• Read about the topic . Whatever sector you’re in, and whatever project you’re working on, reading about your subject area is key to understanding your field ahead of any decisions being made. This will help you solve problems and answer any questions you need to be answered at the offset.
• Compare your results . Following any research or data collection, it’s a good idea to compare your findings with colleagues to ensure consistency across the team. This will lead to greater accuracy for the project as a whole.
• Present . Practising your presentation and communication skills is an essential part of developing your research skills. At the end of any research you’ve conducted, get into the habit of presenting your findings in a written report, and try presenting this to your line manager and wider team.

Once you’ve developed your research skills, it’s important that you know how to convey these effectively in applications – starting with your CV.

Read: How to write a CV | Advice & templates

Your CV is usually the first thing an employer sees of you, so you need to impress them from the offset. Highlighting your research skills, and how you’ve used them in your experience so far, is a great way to do this and will show your organisation, attention to detail and critical thinking.

Research skills should be included under the ‘skills and achievements section of your CV. This is where you include your technical and personal skills that relate to the role you’re applying for.

When talking about your research skills, remember to highlight how you’ve developed these in a concise way. For example, you might have developed research skills by writing a number of literature reviews at university. This might be phrased as “developed effective research skills through data collection and analysis when writing literature reviews for university projects.”

Another way to convey your research skills on your application and impress employers is through the cover letter. If an employer asks for one, it’s important to know how to structure a cover letter so that you can convey your skillset and interest in the role clearly and succinctly.

Your cover letter needs to be no more than one page and should highlight your competency for the role you’re applying for. Approach your application from the basis of ‘what I can do for you’ rather than ‘what you can do for me’. As research skills are transferable, this is a great chance to highlight how you can benefit the organisation and team you’re applying for, as it shows your ability to collect data, think critically, organise your time, analyse and more. Remember to apply these soft and transferable skills to what the job description says will be expected of you.

How to demonstrate your research skills at a job interview 

Interviews are another opportunity to impress employers with your skill set - including how you have developed strong research skills which you can use in the role you’re applying to. 

Ahead of your interview, you should be using your research skills to look into the company you’ve applied for. Get familiar with what they do, their company values and what they’re looking for in a candidate for your chosen role. 

You can also get prepared by practising to answer potential research skills questions like “give me an example of a time when you solved a problem using your research skills.” To answer this, make sure you’re identifying the specific research skills you have used, and explain a real example of when you have solved problems using them. Think about the impact using those research skills had in order to highlight how you have developed these skills effectively in practice. 

Research skills are essential for success in many different roles and fields. By learning how to improve your research skills, you are setting yourself up to impress employers at application and become an asset to a team when you enter the workplace. 

Research skills are soft skills that employers value, are essential for developing your problem-solving skills and are one of the key graduate career skills that recruiters look for. By adding ‘research skills’ to your CV, and highlighting your research capabilities at interviews, you are increasing your employability and chances for success.

Browse thousands of available graduate jobs, schemes and more and demonstrate to employers that you're able to use your research skills to succeed at interview and in your early career. 

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2024 Industry Skills Series

8 Weekly Sessions from October 2nd – November 20th

Registration required for individual sessions, digital badge credential, ~limited spaces~.

The UNC Office of Postdoctoral Affairs (OPA) and Training Initiatives in Biomedical and Biological Sciences (TIBBS) are presenting the 2024 Industry Skills Series, designed exclusively for graduate students and postdoctoral scholars at UNC-CH who are interested in transitioning to careers in industry.

This series offers expert-led workshops, panels, and networking sessions focused on building essential skills for success in today’s professional landscape, with a special emphasis on scientific leadership, communication, and teamwork. Participants will have opportunities to connect with industry professionals and mentors, gaining valuable insights into career paths, opportunities, and the culture of the life sciences industry. The series also highlights the resources at UNC that support the move from academia to industry.

Comprising 8 sessions, the Industry Skills Series includes skill-building workshops, a research symposium with Merck scientists, a site visit to RTP, a career blitz, and career panels. Participants who attend 6 of the 8 sessions will earn a Credly certification badge. Registration is required for each session, and early registration is recommended as spaces are limited. Additional information and registration links can be found below.

Session 1: Industry Landscape

Date: Wednesday, October 2nd

Time: 1:00-3:00 PM

Registration link: https://go.unc.edu/IndustrySkills1

Location, Speakers, and Description

Speakers: D on Rose, Chrissy Kinkade

The first session of the Industry Skills Series, titled “Industry Landscape,” introduces graduate students and postdocs to key aspects of the corporate world. The session features two expert speakers: the first will delve into the “Anatomy of a Company,” providing insights into how companies are structured, their operations, and key functional areas. The second speaker will explore the broader “Industry Landscape & Career Options,” offering an overview of various industries, emerging trends, and diverse career paths available beyond academia. This session sets the foundation for understanding industry.

Session 2: Professional Communication

Date: Wednesday, October 9th  

Time: 1:00-3:00 PM  

Registration link: https://go.unc.edu/IndustrySkills2

Speaker: Tim Flood

Elevate your networking game with our interactive workshop, led by Tim Flood, a seasoned expert and professor of communication at the Kenan-Flagler Business School, as well as the Managing Director of Launch Chapel Hill. Hosted by the Office of Postdoctoral Affairs, TIBBS, and Innovate Carolina, this session is designed to help you master the art of effective communication, whether you’re in academia, the professional world, or bridging both.

Session 3: Leadership & Teamwork

Date: Wednesday, October 16th  

Registration link: https://go.unc.edu/IndustrySkills3

Speakers: Bob Black

Leadership and teamwork can take on different meanings for professionals in academia versus industry. Developing leadership qualities that align with the motivations and priorities of life science companies is crucial for success in industry. Many new industry hires, particularly those with extensive academic experience, often find that understanding the structure and dynamics of industry teams—and how individuals collaborate and rely on each other—is something they wished they had grasped earlier. This session will focus on how effective teamwork can drive innovation, meet project goals, and support professional growth. You’ll gain insights into managing cross-functional teams, balancing diverse perspectives, and maintaining a results-driven focus in the fast-paced, competitive landscape of a life science company.

Session 4: Career Exposure | TIBBS Career Blitz

Date: Wednesday, October 23rd  

Time: 2:00-5:30 PM 

Registration link:   https://go.unc.edu/IndustrySkills4

Location: Virtual  

Description:  At the Career Blitz 24+ PhD-trained scientists from more than a dozen different career tracks will be on hand in a casual, virtual (zoom) setting to answer your questions about what they do, how they navigated their career paths, and how you can follow in their footsteps. Each scientist, or pair of scientists with similar careers, will briefly describe their career and then answer questions from individuals interested in networking.  

Session 5: Design Thinking

Date: Wednesday, October 30th

Time: 1:00 -3:00 PM

Registration link: https://go.unc.edu/IndustrySkills5 

Speakers:  Kelly Parsons, Bill Romani & Kyle Mcquillan

Description: This two-hour session will introduce participants to design thinking, a problem-solving approach that emphasizes understanding user needs to create innovative and effective solutions. This interactive session begins with an introduction to Innovate Carolina, the Office of Technology Commercialization, and their exciting new Franklin Street space, the Junction.  The introduction will be followed by an overview of design thinking principles, including rapid prototyping and human-centered design. Participants will then use these principles in a guided, hands-on workshop designed to explore the components of a meaningful, joyful career in Innovation.

Session 6: Merck Research Symposium & Professional Networking

Date: Wednesday, November 6th

Time: 9:00 AM – 4:00 PM

Registration link: https://go.unc.edu/IndustrySkills6 

Location:  Kerr Building

Description: The Merck & UNC Research Forum is a chance for UNC graduate students, postdocs, scientists, staff, and faculty to share their current work with the campus research community and with R&D scientists from Merck.  This day-long event will feature keynote speakers from Merck and academia. A dozen scientists will be visiting from Merck facilities in New Jersey, Philadelphia, and Boston. There will also be lightning talks (10-15 minutes each) from trainees, free continental breakfast and lunch (for those who register by October 17th), a poster session, career panels, and networking events. There will be awards for the top poster presenters. More information can be found on the website for the Merck Research Symposium. 

Session 7: RTP Site Visit & Professional Networking | Ribometrix

Date: Wednesday, November 13th  

Time: 3:00 – 5:00 PM 

Registration link: https://go.unc.edu/IndustrySkills7

Location:  Alexandria Center® for Advanced Technologies (8 Davis Dr, Research Triangle Park, NC 27709)  

Description:  Join us for a site visit to the Alexandria Center for Advanced Technologies in Research Triangle Park. The Alexandria Center is a dynamic campus designed to support cutting-edge life science companies with first-class laboratories and office spaces in a collaborative environment. Ribometrix will host a panel discussion featuring scientists working at the site, followed by an audience Q&A and networking session. Mireya McKee will also be present to introduce attendees to KickStart Venture Services, which supports research-based startups by providing education and early-stage funding at UNC-Chapel Hill. This visit offers a unique opportunity to explore a modern industrial space and learn about the startup work environment.  

Session 8: Recent Hire Panel & Professional Networking

Date: Wednesday, November 20th

Time: 1:00-3:00 PM (Panel 1:00-2:00, Recruiter/Networking 2:00-3:00)

Registration link: https://go.unc.edu/IndustrySkills8

Description: This final session offers a unique opportunity to hear directly from recent hires who have successfully transitioned into roles within life science companies. In this panel, you’ll gain firsthand insights into their experiences navigating the job market, the challenges they faced, and what ultimately helped them land their positions. Following the panel, there will be time for networking with the panelists and with recruiters and scientists from companies actively seeking talent in industry. Whether you’re currently job hunting or still planning for your next career move, this session will provide invaluable advice, real-world strategies, and direct connections to help you succeed in your job search.

Acknowledgements 

The organizers would like to thank each of our speakers and panelists for donating their time. The organizers would also like to extend our gratitude to Innovate Junction, Alexandria Center® for Advanced Technologies, and Ribometrix, for their collaboration on the series.

• Open access
• Published: 09 September 2024

Immersive medical training: a comprehensive longitudinal study of extended reality in emergency scenarios for large student groups

• Jonas Einloft 1 ,
• Hendrik L Meyer 1 ,
• Simon Bedenbender 1 ,
• Muriel L Morgenschweis 1 ,
• Andre Ganser 1 ,
• Philipp Russ 1 ,
• Martin C Hirsch 2 &
• Ivica Grgic 1 , 2  

BMC Medical Education volume  24 , Article number:  978 ( 2024 ) Cite this article

Metrics details

Young healthcare professionals and medical graduates often fall short in the practical experience necessary for handling medical emergencies. This can not only lead to strained feelings of inadequacy and insecurity among future physicians and less experienced healthcare providers in general, but also to detrimental outcomes for patients as emergency medicine demands rapid decision-making with low tolerance for errors. New didactic modalities and approaches may be needed to effectively address this shortcoming. Immersive technologies are powerful novel educational tools with untapped potential in medical training, and may be particularly suitable for simulation trainings in the high-stakes field of emergency medicine.

Herein, we systematically explored the educational potential of extended reality (XR) technology, particularly virtual reality (VR), in the management of patients presenting as medical emergencies, combining the use of the STEP-VR application with an untethered hardware setup.

Importantly, we aimed at studying multiple, large cohorts of senior medical students involving a total of 529 participants and collecting data over a period of two years. We assessed students’ acceptance of the training through a modified questionnaire measuring device handling, content complexity, degree of immersion, learning success, and seminar design.

Our results show high, sustained acceptance and ease of use across different student cohorts and subgroups, with most students finding XR/VR engaging and beneficial for acquiring emergency medicine skills. Importantly, the prevalence of simulation sickness was minimal. Moreover, no major effect of the head-mounted displays (HMDs) price range was noted with regard to the learning experience. The results underscore the potential of XR/VR capabilities in effectively enhancing medical education, particularly in areas of high-stakes clinical scenarios and emergency care, by providing realistic and reproducible immersive training environments.

In summary, our findings suggest that XR/VR-based training approaches could significantly contribute to preparing future physicians for the complexities of emergency medical care, encouraging the integration of such technologies into medical curricula. However, careful consideration must be given to its suitability for all students and the practical challenges of its implementation, highlighting the need for further research to harness its full potential for medical education.

Peer Review reports

In the dynamic and often high-stakes field of emergency medicine, the ability to make fast, effective decisions in complex and time-sensitive scenarios is of utmost importance. It demands proficiency in executive functions and task prioritization, skills that are crucial in managing this type of clinical presentation [ 1 ].

However, deficits exist in the preparedness of graduates to manage medical emergencies, as evidenced by shortcomings in areas such as clinical reasoning, diagnosis, prescribing, multidisciplinary teamwork, and patient handover [ 2 , 3 , 4 , 5 ]. This lack of readiness, observed by clinical educators and self-reported by students and graduates alike, underscores the need for more effective educational interventions [ 4 , 6 ].

To bridge this gap, various training approaches have been employed, ranging from theoretical lessons to skill training and simulation training with patient actors. Yet, the challenges in emergency medicine extend beyond these traditional methods, as they encompass a range of audiovisual stimuli and interpersonal interactions that constitute ‘situational awareness’ [ 7 , 8 , 9 ]. This complexity has led to the exploration of extended reality (XR) technologies, which includes virtual reality (VR) and augmented reality (AR), as a potential tool for enhancing the training landscape [ 10 , 11 , 12 ]. XR is commonly used as an umbrella term that encompasses all immersive technologies. VR refers to a fully immersive technology that simulates a completely digital environment for the user, typically using headsets. In contrast, AR does not replace the real world but rather adds digital content to the user’s field of vision [ 13 , 14 ].

XR technology offers a distinct advantage with its immersive capabilities that are currently, for the most part, being provided by head-mounted displays (HMD) and interactive controllers. It facilitates experiential learning and improves contextualization that are beneficial, if not even critical, for acquiring competencies in emergency medicine.

Unlike physical simulators, XR can replicate a higher level of perceived reality, offering repeated practice in rare but critical scenarios such as patients with, or at life-threatening risk of, rapid clinical deterioration. Moreover, XR-based training is considered less resource-intensive than high-fidelity physical simulations, thus making it potentially more accessible and cost-effective [ 7 ].

However, the implementation of immersive technology in emergency medicine training at medical schools or teaching hospitals poses challenges [ 15 ]. Amongst others, technical and infrastructural constraints, reservations towards technology, aspects of usability and simulation sickness, as well as didactic usefulness and curricular integration must be considered. Hence, the suitability of educational XR for all students – which ultimately ought to be the goal – remains a subject of ongoing research.

To better assess the educational potential of emerging XR technology in medical education, particularly in managing medical emergencies, we aimed to conduct a large-scale study on students’ opinions of XR/VR-simulated emergency patients using untethered state-of-the-art HMD solutions.

The objectives of this study were as follows:

To assess the feasibility of XR/VR-based simulation training for managing medical emergencies under our specific conditions.

To investigate students’ acceptance of this specific XR/VR-based simulation training, gather their subjective learning feedback, and perform comparative analyses across consecutive cohorts over time.

To evaluate the overall seminar design.

To assess the occurrence of simulation sickness and determine the suitability of different HMDs for our objectives.

This larger study builds upon and expands the pilot research by Mühling et al., which originally tested the specific learning program with a smaller group of participants [ 16 ].

Survey participants

To evaluate the receptiveness of medical students towards VR-based simulation training in the management of medical emergencies, we conducted a study involving 529 senior fifth year medical students at the Philipps University Marburg. As a component of the practical “Internal Medicine” course, the VR-based training was integrated as a curricular seminar targeting students in their 9th or 10th semesters. The study spanned from the winter semester of 2021 to the summer semester of 2023. Each student participated in the study only once.

VR-HMD and VR application

In this study, we used the Oculus Quest 2 (now Meta Quest 2) HMDs from the winter semester of 2021 through the winter semester of 2022, and its advanced version, the Meta Quest Pro, in the summer semester of 2023. These HMDs are notable for their portability, inside-out tracking, and wireless connectivity. In addition, the Meta Quest Pro offers improved features including increased pixel density and extended field of view [ 17 ]. We employed the “STEP-VR” (short for “Simulation-based Training of Emergencies for Physicians using Virtual Reality”) application, originally developed by ThreeDee GmbH in collaboration with the University Würzburg’s Medical School, for simulating an emergency room environment [ 18 ]. STEP-VR enables the enactment of various independent emergency scenarios with avatar patients. The software ran on a Predator Helios 3000 laptop (chip: Intel Core i7-1050H, graphics card: NVIDIA GeForce RTX 3080 with 8GB of GDDR6 dedicated VRAM). Wireless streaming to the VR-HMD via WLAN was conducted using Meta Quest Air Link and an Asus AX5400 router.

Survey design

To evaluate student acceptance of VR-based emergency training, we used a modified version of a previously employed questionnaire [ 16 ]. This adapted questionnaire comprised 23 items, assessing VR device handling, content complexity, immersion, subjective learning success, and seminar design (Supplementary Table 1 ). The responses to the questionnaire items were rated on a 5-point Likert scale, where scores represented 1=strongly disagree, 2 = somewhat disagree, 3=neither agree nor disagree, 4=somewhat agree, and 5=strongly agree. To validate the reliability of our measures, we conducted a reliability analysis using Cronbach’s α , employing the alpha function from the psych (2.3.9) R package; α values greater than 0.6 were considered as acceptable and those above 0.7 were considered as good [ 19 , 20 ]. Additionally, a simulation sickness questionnaire was used to identify 16 typical simulation sickness symptoms [ 21 ]. We also included demographic queries, with three open-ended questions on age, sex, and semester, and a closed-ended question about previous VR experience.

Study design

The VR-based simulation training for managing medical emergencies was incorporated into the curricular practical course in internal medicine, specifically targeting fifth-year medical students in their 9th or 10th semester. These sessions were structured as peer-group seminars, facilitated by student tutors who provided both medical insights and technical support. Groups of 6–8 students participated in each session (Fig.  1 A).

Each seminar began with a structured briefing and introduction to the HMD and controllers as well as the software. Students then engaged in 2 to 3 of the available cases. In these scenarios, one student interacted with the simulation using the HMD, while the others watched on a screen and collectively discussed potential approaches, diagnostic steps, findings and treatment strategies (Fig.  1 B). Each concluded case was followed by a focused debriefing before starting with a new case. At the seminar’s conclusion, participants were given printed surveys to fill out voluntarily.

Data analysis

The collected survey data, comprising both closed- and open-ended questions, were analyzed using R (version 4.3.0) and RStudio (version 2023.09.1) statistical software. The answers were manually digitized and entered into an Excel spreadsheet, which served as input for the data analysis. Demographic statistics such as age, gender, semester and previous VR experience were calculated using the collected survey data. The Likert analysis was performed using the likert (1.3.5) R package and the resulting data was used to generate Likert plots for each question using the ggplot2 (3.4.3) R package. Differences in self-reported ease of use between the genders were statistically tested by unpaired Mann-Whitney U testing using the pairwise.wilcox.test function of the stats (4.3.0) package as normality of the data could not be assumed according to Shapiro-Wilk testing. Results were considered statistically significant for a significance level α ≤ 0.05.

Demographics

Our study involved a total of 529 medical students, comprising 338 females, 171 males, 3 non-binary, and 17 undisclosed gender identities, with a median age of 24 years (range 21–36 years), as detailed in Table  1 . Participation was distributed as follows: 142 students in winter semester 2021, 119 in summer semester 2022, 137 in winter semester 2022, and 131 in summer semester 2023. Of these, 398 utilized the Meta Quest 2 HMD, while 131 used the advanced Meta Quest Pro version. Notably, nearly three-quarters had no prior VR experience. Comprehensive demographic data are available in Table  1 .

Students’ acceptance

To explore the potential of a XR/VR-based simulation training of medical emergencies, we aimed to evaluate the effectiveness of this novel teaching format by assessing student acceptance, focusing on the following aspects (Fig.  2 ):

1. Handling of the HMD.

2. Complexity of content and challenges.

3. Degree of immersion.

4. Perceived learning success.

5. Seminar design.

The majority of students (84%) found that using the HMDs and navigating the simulation was both straightforward and intuitive. A small fraction (3.9%) experienced difficulties with the HMD or VR simulation. While a majority (63%) had no issues with clarity of vision through the VR glasses, 11% reported challenges in achieving sharp vision.

Evaluating student responses concerning the content complexity of the VR simulation revealed it was generally well-matched to their skill level. 62% of students felt their existing knowledge was adequate for coping with the emergency scenarios. Similarly, 71% reported ease in determining reasonable next steps from their observations and diagnostic input, and 82% found making a preliminary diagnosis straightforward.

Recent reports suggest that immersive, VR-based medical training improves the users’ interaction with the learning material, leading to better knowledge acquisition [ 22 , 23 ]. Therefore, we assessed how immersed students felt during the simulation. The majority found the simulation highly realistic; 77% affirmed its realistic setting, and 83% felt fully immersed. However, opinions on the realism of emergency situations varied: 41% felt it was like a real emergency, 28% did not, and 31% were neutral. Student perspectives on the interactions with the virtual patients also varied widely, with 41% finding it realistic while 27% did not. Overall, 84% of students found the VR simulation engaging enough to maintain focus during the seminar.

To evaluate students’ perceived learning outcomes in more detail, we incorporated a set of nine questions. 76% believed the VR simulation would improve their general response in real emergencies, but only 52% felt more confident handling such situations appropriately, while 18% did not. Additionally, 54% reported they could better prioritize in emergencies, while 15% did not feel better prepared for prioritization. Notably, 71% believed that VR practice would benefit their future medical careers. Overall, 91% viewed the VR simulation as an effective learning tool, and 88% considered it valuable for acquiring skills in the management of emergency situations.

Our final objective was to analyze student opinions on the overall structure of the seminar. Overall, the design was very well-received by the students: 94% of students found the seminar format appropriate. Another 94% appreciated the active case discussions in the seminar groups, led by student tutors. Taken together, 93% of the students expressed a desire for more such interactive teaching methods in medical education. Most importantly, our longitudinal subanalyses across all four cohorts demonstrated that these trends remained consistently stable over time (see Supplementary Fig. 1 ).

Simulation sickness

Previous reports have indicated instances of dizziness or cybersickness in users of VR HMDs, ranging from mild discomfort to severe symptoms, leading some participants to withdraw from studies [ 24 , 25 , 26 ]. However, advancements in XR/VR technology have significantly lowered the incidence of such issues [ 27 ]. In our own experience, Meta Quest 2 HMDs tend to be associated with a very low occurrence of simulation sickness symptoms. Nevertheless, the choice of software can also affect simulation sickness. Hence, we employed a well-established simulation sickness questionnaire [ 21 ] to assess symptoms related to using STEP-VR. Overall, the experienced symptoms were generally mild (Fig.  3 A). Of 16 symptoms, 11 were reported as moderate or severe by fewer than 10% of students. More than 10% of students reported more than five symptoms (head pressure, headache, tiredness, vision sharpness issues, and eye strain) as moderate or severe. Vision sharpness and eye strain were most frequently cited as severe. Taken together, these findings indicate that both used types HMDs, in conjunction with STEP-VR, typically caused only mild to moderate simulation sickness symptoms.

We were also interested in whether newer HMD features, such as higher pixel density, increased field of view (FoV), larger inter-pupillary distance (IPD) range, and design improvements, may impact simulation sickness. Contrary to expectations, our findings showed no significant difference in simulation sickness intensity between the two HMD models that were used (Fig.  3 B). However, the Meta Quest Pro showed a marginally lower incidence of sharp vision problems. In conclusion, our data indicate no significant disparity in simulation sickness occurrence between the Meta Quest 2 and Quest Pro HMDs.

Ease of handling

Previous studies on VR in medical education have noted some reservations towards VR among female medical students, particularly those with a lower proclivity for computers [ 16 , 28 ]. Hence, we were interested in evaluating whether female students would report a lower acceptance of the STEP-VR training tool, which could influence its curricular integration. We examined responses to the ease of using VR HMD and navigating the VR simulation, taking into account self-reported gender and prior VR experience. Our analysis revealed a statistically significant, yet exceedingly small, difference in ease of use between male and female students ( p  = 0.017, δ = 4.21  ⋅  10 −5 , 95% CI 7.82  ⋅  10 −5 − 1.39  ⋅  10 −5 ) (Fig.  4 A), suggesting that any concerns among female students regarding VR handling are minimal and likely do not represent a meaningful barrier. Further, when considering previous VR experience (Fig.  4 B), ease of use scores were fairly consistent across genders, with a slight increase for both males and females with extensive VR experience. In summary, the differences in ease of handling between male and female students were minor and are likely inconsequential for incorporating VR-based emergency training into medical curricula.

Immersive technologies have only just started to meaningfully enrich our educational repertoire. Indeed, the potential impact of VR technology on practices in medical education has been highlighted in several recent studies [ 10 , 11 , 12 , 15 , 16 , 29 ]. In a recent report for instance, small groups of medical students participated in highly immersive virtual clinical scenarios (STEP-VR) and were subsequently evaluated for acceptance, focusing on both psychological and educational aspects. The results suggested that active participants felt a strong sense of realism as well as didactic value, and the investigators concluded that curricular implementation of VR-based training sessions of medical emergencies may in fact be feasible [ 16 ]. However, this study faced limitations, including restriction to undergraduate students of only one cohort of one institution and, importantly, a tethered hardware setup that delimited liberty of action. Moreover, other studies have investigated VR-based teaching for pediatric emergencies and reported high levels of perceived usefulness and increasing levels of perceived competence among participants [ 29 ]. This study also had limitations, such as small sample sizes and a narrow focus on pediatric emergencies alone, limiting the generalizability of the reported findings.

Building on this foundation, the STEP-VR application was adopted and studied longitudinally across four consecutive student cohorts over a period of two years. This novel training concept, integrating XR/VR technology with a dynamic physiology system and discrete aspects of gamification, was tested for technical feasibility and tolerance of simulation sickness. Our study provides comprehensive data on key challenges related to the practical application of the learning format, students’ overall views on learning emergency medicine content with XR/VR assistance, and the occurrence of simulation sickness.

Most students reported a high level of engagement and a more profound understanding of complex medical conditions, attributing this to the immersive and interactive nature of VR. Importantly, the majority of students encountered no difficulties in operating the HMDs or the associated software.

Interestingly, while a majority of students experienced a strong sense of immersion, about one third did not feel the simulation closely mimicked a real emergency situation with a real patient. However, it was also shown that low-fidelity simulations – though less realistic – did not perform worse in learning compared to high-fidelity simulation [ 30 ]. Our study found that although the realism of the simulation was a recurring criticism, many students were still content with their overall learning experience. This indicates that the level of realism provided by the application may be sufficient for effective learning.

Recent studies have noted some reservation among female students towards VR, particularly for those with less prior VR experience [ 16 , 28 ]. Concerning gender differences, female students in our study reported slightly lower ease of use with VR, but the difference was minor, implying potentially negligible impact on future curriculum integration.

Regarding cost-effectiveness in implementing XR/VR in medical education [ 25 ], we found no notable differences in average responses across various aspects between experiences with the high-end Meta Quest Pro versus the significantly less expensive Meta Quest 2 HMD model. Students using the Meta Quest Pro reported only slightly fewer issues with vision clarity. Overall, the less expensive Meta Quest 2 was deemed sufficient in our setting, balancing both cost and educational value.

Our study has notable limitations, hence any recommendation should come with a note of caution and underscore the necessity for additional research including prospective studies with long follow-ups. One limitation is that our study relied primarily on self-reported data and was performed at a single center, which limits the generalizability of the findings. Different student demographics or educational cultures in other institutions and countries might yield different results. Another limitation is the potentially misleading assumption that XR/VR-based training is universally suitable for all medical students. It’s important to explore how different students, with varying learning styles and technological aptitudes [ 31 ], interact with and benefit from these tools. There may be a subset of students who find XR/VR interfaces less intuitive or even disorienting; another concern is the potential introduction of cognitive load, all of which could impact their learning experience [ 25 , 28 ].

Moreover, while the benefits of immersive technology in medical training may appear apparent, the practical challenges of implementation at any given teaching facility must be addressed. This includes the cost of equipment, the need for specialized technical support, ensuring that content aligns with learning objectives, and the well-known risk of rapid technological obsolescence of both hardware and software [ 25 , 32 ]. Additionally, little is known about the long-term effects of repeated exposure to immersive environments including clinical settings. Finally, the reliance on self-reported data – as was the focus of our study – introduces the potential for response biases. Hence, it would be conducive to develop standardized and more objective metrics for assessing the effectiveness of XR/VR training, that ideally should include evaluating how well these “virtually acquired” skills transfer to real-world medical settings.

Conclusions

In conclusion, our findings suggest that XR/VR-based simulation training for the management of patients with medical emergencies could benefit medical students in preparing them effectively for the complexities of emergency medical care. However, further research is needed to explore long-term outcomes of VR training on clinical practice and patient care. There is also a need to examine the scalability of such complementary programs and their integration into traditional medical curricula. If these aspects are addressed successfully, STEP-VR and similar XR/VR-based educational tools could indeed represent a paradigm shift in medical education, with implications extending far beyond emergency medicine.

Study design and visual impressions. A , Flowchart illustrating the study design and participant progression. B , Screenshots depicting the in-simulation experience within STEP-VR

Likert plots (5-point scale) displaying survey results for the five measured criteria: (i) handling of the VR device; (ii) complexity of content and challenges; (iii) degree of immersion; (iv) subjective learning success; and (v) seminar design). Bars represent the percentage distribution of responses for each Likert score

Evaluation of simulation sickness associated with VR device use. caused by wearing the VR devices A , Likert scale plots (4-point scale) showing the combined results for simulation sickness caused by wearing the VR devices. Bars represent the percentage of responses for each Liker score. B , Side-by-side comparison of simulation sickness symptoms associated with different head-mounted displays (HMDs). Data are presented as the mean ± standard deviation (SD) of the Likert score (4 points)

Self-reported ease of using VR-HMD and navigating the simulation. A , Comparison of Likert scores for the item “Using the VR goggles and finding my way around the VR simulation was easy and intuitive.” between male and female students. The Mann-Whitney U test was used to analyze differences between groups. Due to the low numbers of non-binary students ( \(\:n=3\) ), the analysis focused only on male and female students. B , Likert scores for above mentioned item, showing self-reported ease of use categorized by gender and previous VR experience. Bars represent the mean ± SD

Data availability

Data is provided within the manuscript or supplementary information files.

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Acknowledgements

We wish to thank all student tutors who assisted in this study. We also wish to thank Dr. Tobias Mühling (University Hospital of Würzburg) for his generous advisory support.

This work was supported by grants from the Philipps-University Marburg, von Behring-Röntgen Foundation, University Hospital Giessen and Marburg and Stiftung Innovation in der Hochschullehre.

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Jonas Einloft, Hendrik L Meyer, Simon Bedenbender, Muriel L Morgenschweis, Andre Ganser, Philipp Russ & Ivica Grgic

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JE, HLM, SB and IG conceptualized this study. JE, HLM, MLM and PR organized the seminars and collected the questionnaire data. SB analyzed the data. SB and IG were mayor contributors to the manuscript. JE and AG took care of the administered hardware setups and software. MCH and IG revised the manuscript. All authors read and approved the final manuscript.

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Correspondence to Ivica Grgic .

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Einloft, J., Meyer, H.L., Bedenbender, S. et al. Immersive medical training: a comprehensive longitudinal study of extended reality in emergency scenarios for large student groups. BMC Med Educ 24 , 978 (2024). https://doi.org/10.1186/s12909-024-05957-3

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DOI : https://doi.org/10.1186/s12909-024-05957-3

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