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Primacy of the research question, structure of the paper, writing a research article: advice to beginners.

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Thomas V. Perneger, Patricia M. Hudelson, Writing a research article: advice to beginners, International Journal for Quality in Health Care , Volume 16, Issue 3, June 2004, Pages 191–192, https://doi.org/10.1093/intqhc/mzh053

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Writing research papers does not come naturally to most of us. The typical research paper is a highly codified rhetorical form [ 1 , 2 ]. Knowledge of the rules—some explicit, others implied—goes a long way toward writing a paper that will get accepted in a peer-reviewed journal.

A good research paper addresses a specific research question. The research question—or study objective or main research hypothesis—is the central organizing principle of the paper. Whatever relates to the research question belongs in the paper; the rest doesn’t. This is perhaps obvious when the paper reports on a well planned research project. However, in applied domains such as quality improvement, some papers are written based on projects that were undertaken for operational reasons, and not with the primary aim of producing new knowledge. In such cases, authors should define the main research question a posteriori and design the paper around it.

Generally, only one main research question should be addressed in a paper (secondary but related questions are allowed). If a project allows you to explore several distinct research questions, write several papers. For instance, if you measured the impact of obtaining written consent on patient satisfaction at a specialized clinic using a newly developed questionnaire, you may want to write one paper on the questionnaire development and validation, and another on the impact of the intervention. The idea is not to split results into ‘least publishable units’, a practice that is rightly decried, but rather into ‘optimally publishable units’.

What is a good research question? The key attributes are: (i) specificity; (ii) originality or novelty; and (iii) general relevance to a broad scientific community. The research question should be precise and not merely identify a general area of inquiry. It can often (but not always) be expressed in terms of a possible association between X and Y in a population Z, for example ‘we examined whether providing patients about to be discharged from the hospital with written information about their medications would improve their compliance with the treatment 1 month later’. A study does not necessarily have to break completely new ground, but it should extend previous knowledge in a useful way, or alternatively refute existing knowledge. Finally, the question should be of interest to others who work in the same scientific area. The latter requirement is more challenging for those who work in applied science than for basic scientists. While it may safely be assumed that the human genome is the same worldwide, whether the results of a local quality improvement project have wider relevance requires careful consideration and argument.

Once the research question is clearly defined, writing the paper becomes considerably easier. The paper will ask the question, then answer it. The key to successful scientific writing is getting the structure of the paper right. The basic structure of a typical research paper is the sequence of Introduction, Methods, Results, and Discussion (sometimes abbreviated as IMRAD). Each section addresses a different objective. The authors state: (i) the problem they intend to address—in other terms, the research question—in the Introduction; (ii) what they did to answer the question in the Methods section; (iii) what they observed in the Results section; and (iv) what they think the results mean in the Discussion.

In turn, each basic section addresses several topics, and may be divided into subsections (Table 1 ). In the Introduction, the authors should explain the rationale and background to the study. What is the research question, and why is it important to ask it? While it is neither necessary nor desirable to provide a full-blown review of the literature as a prelude to the study, it is helpful to situate the study within some larger field of enquiry. The research question should always be spelled out, and not merely left for the reader to guess.

Typical structure of a research paper

The Methods section should provide the readers with sufficient detail about the study methods to be able to reproduce the study if so desired. Thus, this section should be specific, concrete, technical, and fairly detailed. The study setting, the sampling strategy used, instruments, data collection methods, and analysis strategies should be described. In the case of qualitative research studies, it is also useful to tell the reader which research tradition the study utilizes and to link the choice of methodological strategies with the research goals [ 3 ].

The Results section is typically fairly straightforward and factual. All results that relate to the research question should be given in detail, including simple counts and percentages. Resist the temptation to demonstrate analytic ability and the richness of the dataset by providing numerous tables of non-essential results.

The Discussion section allows the most freedom. This is why the Discussion is the most difficult to write, and is often the weakest part of a paper. Structured Discussion sections have been proposed by some journal editors [ 4 ]. While strict adherence to such rules may not be necessary, following a plan such as that proposed in Table 1 may help the novice writer stay on track.

References should be used wisely. Key assertions should be referenced, as well as the methods and instruments used. However, unless the paper is a comprehensive review of a topic, there is no need to be exhaustive. Also, references to unpublished work, to documents in the grey literature (technical reports), or to any source that the reader will have difficulty finding or understanding should be avoided.

Having the structure of the paper in place is a good start. However, there are many details that have to be attended to while writing. An obvious recommendation is to read, and follow, the instructions to authors published by the journal (typically found on the journal’s website). Another concerns non-native writers of English: do have a native speaker edit the manuscript. A paper usually goes through several drafts before it is submitted. When revising a paper, it is useful to keep an eye out for the most common mistakes (Table 2 ). If you avoid all those, your paper should be in good shape.

Common mistakes seen in manuscripts submitted to this journal

Huth EJ . How to Write and Publish Papers in the Medical Sciences , 2nd edition. Baltimore, MD: Williams & Wilkins, 1990 .

Browner WS . Publishing and Presenting Clinical Research . Baltimore, MD: Lippincott, Williams & Wilkins, 1999 .

Devers KJ , Frankel RM. Getting qualitative research published. Educ Health 2001 ; 14 : 109 –117.

Docherty M , Smith R. The case for structuring the discussion of scientific papers. Br Med J 1999 ; 318 : 1224 –1225.

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  • Research Guides

Reading for Research: Social Sciences

Structure of a research article.

  • Structural Read

Guide Acknowledgements

How to Read a Scholarly Article from the Howard Tilton Memorial Library at Tulane University

Strategic Reading for Research   from the Howard Tilton Memorial Library at Tulane University

Bridging the Gap between Faculty Expectation and the Student Experience: Teaching Students toAnnotate and Synthesize Sources

Librarian for Sociology, Environmental Sociology, MHS and Public Policy Studies

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Academic writing has features that vary only slightly across the different disciplines. Knowing these elements and the purpose of each serves help you to read and understand academic texts efficiently and effectively, and then apply what you read to your paper or project.

Social Science (and Science) original research articles generally follow IMRD: Introduction- Methods-Results-Discussion

Introduction

  • Introduces topic of article
  • Presents the "Research Gap"/Statement of Problem article will address
  • How research presented in the article will solve the problem presented in research gap.
  • Literature Review. presenting and evaluating previous scholarship on a topic.  Sometimes, this is separate section of the article. 

​Method & Results

  • How research was done, including analysis and measurements.  
  • Sometimes labeled as "Research Design"
  • What answers were found
  • Interpretation of Results (What Does It Mean? Why is it important?)
  • Implications for the Field, how the study contributes to the existing field of knowledge
  • Suggestions for further research
  • Sometimes called Conclusion

You might also see IBC: Introduction - Body - Conclusion

  • Identify the subject
  • State the thesis 
  • Describe why thesis is important to the field (this may be in the form of a literature review or general prose)

Body  

  • Presents Evidence/Counter Evidence
  • Integrate other writings (i.e. evidence) to support argument 
  • Discuss why others may disagree (counter-evidence) and why argument is still valid
  • Summary of argument
  • Evaluation of argument by pointing out its implications and/or limitations 
  • Anticipate and address possible counter-claims
  • Suggest future directions of research
  • Next: Structural Read >>
  • Last Updated: Jan 19, 2024 10:44 AM
  • URL: https://researchguides.library.vanderbilt.edu/readingforresearch

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Finding Scholarly Articles: Home

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What's a Scholarly Article?

Your professor has specified that you are to use scholarly (or primary research or peer-reviewed or refereed or academic) articles only in your paper. What does that mean?

Scholarly or primary research articles are peer-reviewed , which means that they have gone through the process of being read by reviewers or referees  before being accepted for publication. When a scholar submits an article to a scholarly journal, the manuscript is sent to experts in that field to read and decide if the research is valid and the article should be published. Typically the reviewers indicate to the journal editors whether they think the article should be accepted, sent back for revisions, or rejected.

To decide whether an article is a primary research article, look for the following:

  • The author’s (or authors') credentials and academic affiliation(s) should be given;
  • There should be an abstract summarizing the research;
  • The methods and materials used should be given, often in a separate section;
  • There are citations within the text or footnotes referencing sources used;
  • Results of the research are given;
  • There should be discussion   and  conclusion ;
  • With a bibliography or list of references at the end.

Caution: even though a journal may be peer-reviewed, not all the items in it will be. For instance, there might be editorials, book reviews, news reports, etc. Check for the parts of the article to be sure.   

You can limit your search results to primary research, peer-reviewed or refereed articles in many databases. To search for scholarly articles in  HOLLIS , type your keywords in the box at the top, and select  Catalog&Articles  from the choices that appear next.   On the search results screen, look for the  Show Only section on the right and click on  Peer-reviewed articles . (Make sure to  login in with your HarvardKey to get full-text of the articles that Harvard has purchased.)

Many of the databases that Harvard offers have similar features to limit to peer-reviewed or scholarly articles.  For example in Academic Search Premier , click on the box for Scholarly (Peer Reviewed) Journals  on the search screen.

Review articles are another great way to find scholarly primary research articles.   Review articles are not considered "primary research", but they pull together primary research articles on a topic, summarize and analyze them.  In Google Scholar , click on Review Articles  at the left of the search results screen. Ask your professor whether review articles can be cited for an assignment.

A note about Google searching.  A regular Google search turns up a broad variety of results, which can include scholarly articles but Google results also contain commercial and popular sources which may be misleading, outdated, etc.  Use Google Scholar  through the Harvard Library instead.

About Wikipedia .  W ikipedia is not considered scholarly, and should not be cited, but it frequently includes references to scholarly articles. Before using those references for an assignment, double check by finding them in Hollis or a more specific subject  database .

Still not sure about a source? Consult the course syllabus for guidance, contact your professor or teaching fellow, or use the Ask A Librarian service.

  • Last Updated: Oct 3, 2023 3:37 PM
  • URL: https://guides.library.harvard.edu/FindingScholarlyArticles

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Evaluating Resources: Research Articles

Research articles.

A research article is a journal article in which the authors report on the research they did. Research articles are always primary sources. Whether or not a research article is peer reviewed depends on the journal that publishes it.

Published research articles follow a predictable pattern and will contain most, if not all, of the sections listed below. However, the names for these sections may vary.

  • Title & Author(s)
  • Introduction
  • Methodology

To learn about the different parts of a research article, please view this tutorial:

Short video: How to Read Scholarly Articles

Learn some tips on how to efficiently read scholarly articles.

Video: How to Read a Scholarly Article

(4 min 16 sec) Recorded August 2019 Transcript 

More information

The Academic Skills Center and the Writing Center both have helpful resources on critical and academic reading that can further help you understand and evaluate research articles.

  • Academic Skills Center Guide: Developing Your Reading Skills
  • Academic Skills Center Webinar Archive: Savvy Strategies for Academic Reading
  • Writing Center Podcast: WriteCast Episode 5: Five Strategies for Critical Reading

If you'd like to learn how to find research articles in the Library, you can view this Quick Answer.

  • Quick Answer: How do I find research articles?
  • Previous Page: Primary & Secondary Sources
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a research article

What is Research?: Parts of a Research Article

  • The Truth about Research
  • Research Steps
  • Evaluating Sources
  • Parts of a Research Article

While each article is different, here are some common pieces you'll see in many of them...

  • The title of the article should give you some clues as to the topic it addresses.
  • The abstract allows readers to quickly review the overall content of the article. It should give you an idea of the topic of the article, while also providing any key details--such as the questions address in the article and the general results of the studies conducted.
  • The introduction introduces the general topic and provides some background information, eventually narrowing it down to the specific issues addressed in the article.
  • The literature review describes past research on the topic and relates it to the specific topic covered by the article.  Not all articles will have a literature review.
  • The methods section addresses the research design and methodology used by the author to come to the conclusions they have in this article.  This gives others the ability to replicate the study.  Not all articles will have this, since there will be many articles that don't involve an actual study.
  • The results section presents the results of any studies or analysis that has been conducted.  Not all articles will have this, either.
  • The discussion/conclusion addresses the implications or future of the field.  It may also address where future research is needed.
  • The list references or bibliography is the alphabetized list of resources used for the article.  The format of the citations is often determined by what that field's preferred format is.  Common citations formats include APA, Chicago, and MLA.  This is a necessity in an article--and it helps you identify more possible resources for your own paper.
  • Components of a Research Paper Useful site that goes more in depth on these sections.
  • Parts of a Citation A really wonderful site by the Nash Community College Library.
  • << Previous: Evaluating Sources
  • Last Updated: Jul 20, 2017 9:23 PM
  • URL: https://libguides.uno.edu/whatisresearch

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International Conference on Intelligent Systems Design and Applications

ISDA 2022: Intelligent Systems Design and Applications pp 374–383 Cite as

A Step-To-Step Guide to Write a Quality Research Article

  • Amit Kumar Tyagi   ORCID: orcid.org/0000-0003-2657-8700 14 ,
  • Rohit Bansal 15 ,
  • Anshu 16 &
  • Sathian Dananjayan   ORCID: orcid.org/0000-0002-6103-7267 17  
  • Conference paper
  • First Online: 01 June 2023

182 Accesses

14 Citations

Part of the Lecture Notes in Networks and Systems book series (LNNS,volume 717)

Today publishing articles is a trend around the world almost in each university. Millions of research articles are published in thousands of journals annually throughout many streams/sectors such as medical, engineering, science, etc. But few researchers follow the proper and fundamental criteria to write a quality research article. Many published articles over the web become just irrelevant information with duplicate information, which is a waste of available resources. This is because many authors/researchers do not know/do not follow the correct approach for writing a valid/influential paper. So, keeping such issues for new researchers or exiting researchers in many sectors, we feel motivated to write an article and present some systematic work/approach that can help researchers produce a quality research article. Also, the authors can publish their work in international conferences like CVPR, ICML, NeurIPS, etc., or international journals with high factors or a white paper. Publishing good articles improve the profile of researchers around the world, and further future researchers can refer their work in their work as references to proceed with the respective research to a certain level. Hence, this article will provide sufficient information for researchers to write a simple, effective/impressive and qualitative research article on their area of interest.

  • Quality Research
  • Research Paper
  • Qualitative Research
  • Quantitative Research
  • Problem Statement

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Nair, M.M., Tyagi, A.K., Sreenath, N.: The future with industry 4.0 at the core of society 5.0: open issues, future opportunities and challenges. In: 2021 International Conference on Computer Communication and Informatics (ICCCI), pp. 1–7 (2021). https://doi.org/10.1109/ICCCI50826.2021.9402498

Tyagi, A.K., Fernandez, T.F., Mishra, S., Kumari, S.: Intelligent Automation Systems at the Core of Industry 4.0. In: Abraham, A., Piuri, V., Gandhi, N., Siarry, P., Kaklauskas, A., Madureira, A. (eds.) ISDA 2020. AISC, vol. 1351, pp. 1–18. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-71187-0_1

Chapter   Google Scholar  

Goyal, D., Tyagi, A.: A Look at Top 35 Problems in the Computer Science Field for the Next Decade. CRC Press, Boca Raton (2020) https://doi.org/10.1201/9781003052098-40

Tyagi, A.K., Meenu, G., Aswathy, S.U., Chetanya, V.: Healthcare Solutions for Smart Era: An Useful Explanation from User’s Perspective. In the Book “Recent Trends in Blockchain for Information Systems Security and Privacy”. CRC Press, Boca Raton (2021)

Google Scholar  

Varsha, R., Nair, S.M., Tyagi, A.K., Aswathy, S.U., RadhaKrishnan, R.: The future with advanced analytics: a sequential analysis of the disruptive technology’s scope. In: Abraham, A., Hanne, T., Castillo, O., Gandhi, N., Nogueira Rios, T., Hong, T.-P. (eds.) HIS 2020. AISC, vol. 1375, pp. 565–579. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-73050-5_56

Tyagi, A.K., Nair, M.M., Niladhuri, S., Abraham, A.: Security, privacy research issues in various computing platforms: a survey and the road ahead. J. Inf. Assur. Secur. 15 (1), 1–16 (2020)

Madhav, A.V.S., Tyagi, A.K.: The world with future technologies (Post-COVID-19): open issues, challenges, and the road ahead. In: Tyagi, A.K., Abraham, A., Kaklauskas, A. (eds.) Intelligent Interactive Multimedia Systems for e-Healthcare Applications, pp. 411–452. Springer, Singapore (2022). https://doi.org/10.1007/978-981-16-6542-4_22

Mishra, S., Tyagi, A.K.: The role of machine learning techniques in the Internet of Things-based cloud applications. In: Pal, S., De, D., Buyya, R. (eds.) Artificial Intelligence-Based Internet of Things Systems. Internet of Things (Technology, Communications and Computing). Springer, Cham. https://doi.org/10.1007/978-3-030-87059-1_4

Pramod, A., Naicker, H.S., Tyagi, A.K.: Machine Learning and Deep Learning: Open Issues and Future Research Directions for Next Ten Years. Computational Analysis and Understanding of Deep Learning for Medical Care: Principles, Methods, and Applications. Wiley Scrivener (2020)

Kumari, S., Tyagi, A.K., Aswathy, S.U.: The Future of Edge Computing with Blockchain Technology: Possibility of Threats, Opportunities and Challenges. In the Book Recent Trends in Blockchain for Information Systems Security and Privacy. CRC Press, Boca Raton (2021)

Dananjayan, S., Tang, Y., Zhuang, J., Hou, C., Luo, S.: Assessment of state-of-the-art deep learning based citrus disease detection techniques using annotated optical leaf images. Comput. Electron. Agric. 193 (7), 106658 (2022). https://doi.org/10.1016/j.compag.2021.106658

Nair, M.M., Tyagi, A.K.: Privacy: History, Statistics, Policy, Laws, Preservation and Threat analysis. J. Inf. Assur. Secur. 16 (1), 24–34 (2021)

Tyagi, A.K., Sreenath, N.: A comparative study on privacy preserving techniques for location based services. Br. J. Math. Comput. Sci. 10 (4), 1–25 (2015). ISSN: 2231–0851

Rekha, G., Tyagi, A.K., Krishna Reddy, V.: A wide scale classification of class imbalance problem and its solutions: a systematic literature review. J. Comput. Sci. 15 (7), 886–929 (2019). ISSN Print: 1549–3636

Kanuru, L., Tyagi, A.K., A, S.U., Fernandez, T.F., Sreenath, N., Mishra, S.: Prediction of pesticides and fertilisers using machine learning and Internet of Things. In: 2021 International Conference on Computer Communication and Informatics (ICCCI), pp. 1–6 (2021). https://doi.org/10.1109/ICCCI50826.2021.9402536

Ambildhuke, G.M., Rekha, G., Tyagi, A.K.: Performance analysis of undersampling approaches for solving customer churn prediction. In: Goyal, D., Gupta, A.K., Piuri, V., Ganzha, M., Paprzycki, M. (eds.) Proceedings of the Second International Conference on Information Management and Machine Intelligence. LNNS, vol. 166, pp. 341–347. Springer, Singapore (2021). https://doi.org/10.1007/978-981-15-9689-6_37

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Tyagi, A.K., Bansal, R., Anshu, Dananjayan, S. (2023). A Step-To-Step Guide to Write a Quality Research Article. In: Abraham, A., Pllana, S., Casalino, G., Ma, K., Bajaj, A. (eds) Intelligent Systems Design and Applications. ISDA 2022. Lecture Notes in Networks and Systems, vol 717. Springer, Cham. https://doi.org/10.1007/978-3-031-35510-3_36

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A systematic approach to searching: an efficient and complete method to develop literature searches

Associated data.

Creating search strategies for systematic reviews, finding the best balance between sensitivity and specificity, and translating search strategies between databases is challenging. Several methods describe standards for systematic search strategies, but a consistent approach for creating an exhaustive search strategy has not yet been fully described in enough detail to be fully replicable. The authors have established a method that describes step by step the process of developing a systematic search strategy as needed in the systematic review. This method describes how single-line search strategies can be prepared in a text document by typing search syntax (such as field codes, parentheses, and Boolean operators) before copying and pasting search terms (keywords and free-text synonyms) that are found in the thesaurus. To help ensure term completeness, we developed a novel optimization technique that is mainly based on comparing the results retrieved by thesaurus terms with those retrieved by the free-text search words to identify potentially relevant candidate search terms. Macros in Microsoft Word have been developed to convert syntaxes between databases and interfaces almost automatically. This method helps information specialists in developing librarian-mediated searches for systematic reviews as well as medical and health care practitioners who are searching for evidence to answer clinical questions. The described method can be used to create complex and comprehensive search strategies for different databases and interfaces, such as those that are needed when searching for relevant references for systematic reviews, and will assist both information specialists and practitioners when they are searching the biomedical literature.

INTRODUCTION

Librarians and information specialists are often involved in the process of preparing and completing systematic reviews (SRs), where one of their main tasks is to identify relevant references to include in the review [ 1 ]. Although several recommendations for the process of searching have been published [ 2 – 6 ], none describe the development of a systematic search strategy from start to finish.

Traditional methods of SR search strategy development and execution are highly time consuming, reportedly requiring up to 100 hours or more [ 7 , 8 ]. The authors wanted to develop systematic and exhaustive search strategies more efficiently, while preserving the high sensitivity that SR search strategies necessitate. In this article, we describe the method developed at Erasmus University Medical Center (MC) and demonstrate its use through an example search. The efficiency of the search method and outcome of 73 searches that have resulted in published reviews are described in a separate article [ 9 ].

As we aimed to describe the creation of systematic searches in full detail, the method starts at a basic level with the analysis of the research question and the creation of search terms. Readers who are new to SR searching are advised to follow all steps described. More experienced searchers can consider the basic steps to be existing knowledge that will already be part of their normal workflow, although step 4 probably differs from general practice. Experienced searchers will gain the most from reading about the novelties in the method as described in steps 10–13 and comparing the examples given in the supplementary appendix to their own practice.

CREATING A SYSTEMATIC SEARCH STRATEGY

Our methodology for planning and creating a multi-database search strategy consists of the following steps:

  • Determine a clear and focused question
  • Describe the articles that can answer the question
  • Decide which key concepts address the different elements of the question
  • Decide which elements should be used for the best results
  • Choose an appropriate database and interface to start with
  • Document the search process in a text document
  • Identify appropriate index terms in the thesaurus of the first database
  • Identify synonyms in the thesaurus
  • Add variations in search terms
  • Use database-appropriate syntax, with parentheses, Boolean operators, and field codes
  • Optimize the search
  • Evaluate the initial results
  • Check for errors
  • Translate to other databases
  • Test and reiterate

Each step in the process is reflected by an example search described in the supplementary appendix .

1. Determine a clear and focused question

A systematic search can best be applied to a well-defined and precise research or clinical question. Questions that are too broad or too vague cannot be answered easily in a systematic way and will generally result in an overwhelming number of search results. On the other hand, a question that is too specific will result into too few or even zero search results. Various papers describe this process in more detail [ 10 – 12 ].

2. Describe the articles that can answer the question

Although not all clinical or research questions can be answered in the literature, the next step is to presume that the answer can indeed be found in published studies. A good starting point for a search is hypothesizing what the research that can answer the question would look like. These hypothetical (when possible, combined with known) articles can be used as guidance for constructing the search strategy.

3. Decide which key concepts address the different elements of the question

Key concepts are the topics or components that the desired articles should address, such as diseases or conditions, actions, substances, settings, domains (e.g., therapy, diagnosis, etiology), or study types. Key concepts from the research question can be grouped to create elements in the search strategy.

Elements in a search strategy do not necessarily follow the patient, intervention, comparison, outcome (PICO) structure or any other related structure. Using the PICO or another similar framework as guidance can be helpful to consider, especially in the inclusion and exclusion review stage of the SR, but this is not necessary for good search strategy development [ 13 – 15 ]. Sometimes concepts from different parts of the PICO structure can be grouped together into one search element, such as when the desired outcome is frequently described in a certain study type.

4. Decide which elements should be used for the best results

Not all elements of a research question should necessarily be used in the search strategy. Some elements are less important than others or may unnecessarily complicate or restrict a search strategy. Adding an element to a search strategy increases the chance of missing relevant references. Therefore, the number of elements in a search strategy should remain as low as possible to optimize recall.

Using the schema in Figure 1 , elements can be ordered by their specificity and importance to determine the best search approach. Whether an element is more specific or more general can be measured objectively by the number of hits retrieved in a database when searching for a key term representing that element. Depending on the research question, certain elements are more important than others. If articles (hypothetically or known) exist that can answer the question but lack a certain element in their titles, abstracts, or keywords, that element is unimportant to the question. An element can also be unimportant because of expected bias or an overlap with another element.

An external file that holds a picture, illustration, etc.
Object name is jmla-106-531-f001.jpg

Schema for determining the optimal order of elements

Bias in elements

The choice of elements in a search strategy can introduce bias through use of overly specific terminology or terms often associated with positive outcomes. For the question “does prolonged breastfeeding improve intelligence outcomes in children?,” searching specifically for the element of duration will introduce bias, as articles that find a positive effect of prolonged breastfeeding will be much more likely to mention time factors in their titles or abstracts.

Overlapping elements

Elements in a question sometimes overlap in their meaning. Sometimes certain therapies are interventions for one specific disease. The Lichtenstein technique, for example, is a repair method for inguinal hernias. There is no need to include an element of “inguinal hernias” to a search for the effectiveness of the Lichtenstein therapy. Likewise, sometimes certain diseases are only found in certain populations. Adding such an overlapping element could lead to missing relevant references.

The elements to use in a search strategy can be found in the plot of elements in Figure 1 , by following the top row from left to right. For this method, we recommend starting with the most important and specific elements. Then, continue with more general and important elements until the number of results is acceptable for screening. Determining how many results are acceptable for screening is often a matter of negotiation with the SR team.

5. Choose an appropriate database and interface to start with

Important factors for choosing databases to use are the coverage and the presence of a thesaurus. For medically oriented searches, the coverage and recall of Embase, which includes the MEDLINE database, are superior to those of MEDLINE [ 16 ]. Each of these two databases has its own thesaurus with its own unique definitions and structure. Because of the complexity of the Embase thesaurus, Emtree, which contains much more specific thesaurus terms than the MEDLINE Medical Subject Headings (MeSH) thesaurus, translation from Emtree to MeSH is easier than the other way around. Therefore, we recommend starting in Embase.

MEDLINE and Embase are available through many different vendors and interfaces. The choice of an interface and primary database is often determined by the searcher’s accessibility. For our method, an interface that allows searching with proximity operators is desirable, and full functionality of the thesaurus, including explosion of narrower terms, is crucial. We recommend developing a personal workflow that always starts with one specific database and interface.

6. Document the search process in a text document

We advise designing and creating the complete search strategies in a log document, instead of directly in the database itself, to register the steps taken and to make searches accountable and reproducible. The developed search strategies can be copied and pasted into the desired databases from the log document. This way, the searcher is in control of the whole process. Any change to the search strategy should be done in the log document, assuring that the search strategy in the log is always the most recent.

7. Identify appropriate index terms in the thesaurus of the first database

Searches should start by identifying appropriate thesaurus terms for the desired elements. The thesaurus of the database is searched for matching index terms for each key concept. We advise restricting the initial terms to the most important and most relevant terms. Later in the process, more general terms can be added in the optimization process, in which the effect on the number of hits, and thus the desirability of adding these terms, can be evaluated more easily.

Several factors can complicate the identification of thesaurus terms. Sometimes, one thesaurus term is found that exactly describes a specific element. In contrast, especially in more general elements, multiple thesaurus terms can be found to describe one element. If no relevant thesaurus terms have been found for an element, free-text terms can be used, and possible thesaurus terms found in the resulting references can be added later (step 11).

Sometimes, no distinct thesaurus term is available for a specific key concept that describes the concept in enough detail. In Emtree, one thesaurus term often combines two or more elements. The easiest solution for combining these terms for a sensitive search is to use such a thesaurus term in all elements where it is relevant. Examples are given in the supplementary appendix .

8. Identify synonyms in the thesaurus

Most thesauri offer a list of synonyms on their term details page (named Synonyms in Emtree and Entry Terms in MeSH). To create a sensitive search strategy for SRs, these terms need to be searched as free-text keywords in the title and abstract fields, in addition to searching their associated thesaurus terms.

The Emtree thesaurus contains more synonyms (300,000) than MeSH does (220,000) [ 17 ]. The difference in number of terms is even higher considering that many synonyms in MeSH are permuted terms (i.e., inversions of phrases using commas).

Thesaurus terms are ordered in a tree structure. When searching for a more general thesaurus term, the more specific (narrower) terms in the branches below that term will also be searched (this is frequently referred to as “exploding” a thesaurus term). However, to perform a sensitive search, all relevant variations of the narrower terms must be searched as free-text keywords in the title or abstract, in addition to relying on the exploded thesaurus term. Thus, all articles that describe a certain narrower topic in their titles and abstracts will already be retrieved before MeSH terms are added.

9. Add variations in search terms (e.g., truncation, spelling differences, abbreviations, opposites)

Truncation allows a searcher to search for words beginning with the same word stem. A search for therap* will, thus, retrieve therapy, therapies, therapeutic, and all other words starting with “therap.” Do not truncate a word stem that is too short. Also, limitations of interfaces should be taken into account, especially in PubMed, where the number of search term variations that can be found by truncation is limited to 600.

Databases contain references to articles using both standard British and American English spellings. Both need to be searched as free-text terms in the title and abstract. Alternatively, many interfaces offer a certain code to replace zero or one characters, allowing a search for “pediatric” or “paediatric” as “p?ediatric.” Table 1 provides a detailed description of the syntax for different interfaces.

Field codes in five most used interfaces for biomedical literature searching

Searching for abbreviations can identify extra, relevant references and retrieve more irrelevant ones. The search can be more focused by combining the abbreviation with an important word that is relevant to its meaning or by using the Boolean “NOT” to exclude frequently observed, clearly irrelevant results. We advise that searchers do not exclude all possible irrelevant meanings, as it is very time consuming to identify all the variations, it will result in unnecessarily complicated search strategies, and it may lead to erroneously narrowing the search and, thereby, reduce recall.

Searching partial abbreviations can be useful for retrieving relevant references. For example, it is very likely that an article would mention osteoarthritis (OA) early in the abstract, replacing all further occurrences of osteoarthritis with OA . Therefore, it may not contain the phrase “hip osteoarthritis” but only “hip oa.”

It is also important to search for the opposites of search terms to avoid bias. When searching for “disease recurrence,” articles about “disease free” may be relevant as well. When the desired outcome is survival , articles about mortality may be relevant.

10. Use database-appropriate syntax, with parentheses, Boolean operators, and field codes

Different interfaces require different syntaxes, the special set of rules and symbols unique to each database that define how a correctly constructed search operates. Common syntax components include the use of parentheses and Boolean operators such as “AND,” “OR,” and “NOT,” which are available in all major interfaces. An overview of different syntaxes for four major interfaces for bibliographic medical databases (PubMed, Ovid, EBSCOhost, Embase.com, and ProQuest) is shown in Table 1 .

Creating the appropriate syntax for each database, in combination with the selected terms as described in steps 7–9, can be challenging. Following the method outlined below simplifies the process:

  • Create single-line queries in a text document (not combining multiple record sets), which allows immediate checking of the relevance of retrieved references and efficient optimization.
  • Type the syntax (Boolean operators, parentheses, and field codes) before adding terms, which reduces the chance that errors are made in the syntax, especially in the number of parentheses.
  • Use predefined proximity structures including parentheses, such as (() ADJ3 ()) in Ovid, that can be reused in the query when necessary.
  • Use thesaurus terms separately from free-text terms of each element. Start an element with all thesaurus terms (using “OR”) and follow with the free-text terms. This allows the unique optimization methods as described in step 11.
  • When adding terms to an existing search strategy, pay close attention to the position of the cursor. Make sure to place it appropriately either in the thesaurus terms section, in the title/abstract section, or as an addition (broadening) to an existing proximity search.

The supplementary appendix explains the method of building a query in more detail, step by step for different interfaces: PubMed, Ovid, EBSCOhost, Embase.com, and ProQuest. This method results in a basic search strategy designed to retrieve some relevant references upon which a more thorough search strategy can be built with optimization such as described in step 11.

11. Optimize the search

The most important question when performing a systematic search is whether all (or most) potentially relevant articles have been retrieved by the search strategy. This is also the most difficult question to answer, since it is unknown which and how many articles are relevant. It is, therefore, wise first to broaden the initial search strategy, making the search more sensitive, and then check if new relevant articles are found by comparing the set results (i.e., search for Strategy #2 NOT Strategy #1 to see the unique results).

A search strategy should be tested for completeness. Therefore, it is necessary to identify extra, possibly relevant search terms and add them to the test search in an OR relationship with the already used search terms. A good place to start, and a well-known strategy, is scanning the top retrieved articles when sorted by relevance, looking for additional relevant synonyms that could be added to the search strategy.

We have developed a unique optimization method that has not been described before in the literature. This method often adds valuable extra terms to our search strategy and, therefore, extra, relevant references to our search results. Extra synonyms can be found in articles that have been assigned a certain set of thesaurus terms but that lack synonyms in the title and/or abstract that are already present in the current search strategy. Searching for thesaurus terms NOT free-text terms will help identify missed free-text terms in the title or abstract. Searching for free-text terms NOT thesaurus terms will help identify missed thesaurus terms. If this is done repeatedly for each element, leaving the rest of the query unchanged, this method will help add numerous relevant terms to the query. These steps are explained in detail for five different search platforms in the supplementary appendix .

12. Evaluate the initial results

The results should now contain relevant references. If the interface allows relevance ranking, use that in the evaluation. If you know some relevant references that should be included in the research, search for those references specifically; for example, combine a specific (first) author name with a page number and the publication year. Check whether those references are retrieved by the search. If the known relevant references are not retrieved by the search, adapt the search so that they are. If it is unclear which element should be adapted to retrieve a certain article, combine that article with each element separately.

Different outcomes are desired for different types of research questions. For instance, in the case of clinical question answering, the researcher will not be satisfied with many references that contain a lot of irrelevant references. A clinical search should be rather specific and is allowed to miss a relevant reference. In the case of an SR, the researchers do not want to miss any relevant reference and are willing to handle many irrelevant references to do so. The search for references to include in an SR should be very sensitive: no included reference should be missed. A search that is too specific or too sensitive for the intended goal can be adapted to become more sensitive or specific. Steps to increase sensitivity or specificity of a search strategy can be found in the supplementary appendix .

13. Check for errors

Errors might not be easily detected. Sometimes clues can be found in the number of results, either when the number of results is much higher or lower than expected or when many retrieved references are not relevant. However, the number expected is often unknown, and very sensitive search strategies will always retrieve many irrelevant articles. Each query should, therefore, be checked for errors.

One of the most frequently occurring errors is missing the Boolean operator “OR.” When no “OR” is added between two search terms, many interfaces automatically add an “AND,” which unintentionally reduces the number of results and likely misses relevant references. One good strategy to identify missing “OR”s is to go to the web page containing the full search strategy, as translated by the database, and using Ctrl-F search for “AND.” Check whether the occurrences of the “AND” operator are deliberate.

Ideally, search strategies should be checked by other information specialists [ 18 ]. The Peer Review of Electronic Search Strategies (PRESS) checklist offers good guidance for this process [ 4 ]. Apart from the syntax (especially Boolean operators and field codes) of the search strategy, it is wise to have the search terms checked by the clinician or researcher familiar with the topic. At Erasmus MC, researchers and clinicians are involved during the complete process of structuring and optimizing the search strategy. Each word is added after the combined decision of the searcher and the researcher, with the possibility of directly comparing results with and without the new term.

14. Translate to other databases

To retrieve as many relevant references as possible, one has to search multiple databases. Translation of complex and exhaustive queries between different databases can be very time consuming and cumbersome. The single-line search strategy approach detailed above allows quick translations using the find and replace method in Microsoft Word (<Ctrl-H>).

At Erasmus MC, macros based on the find-and-replace method in Microsoft Word have been developed for easy and fast translation between the most used databases for biomedical and health sciences questions. The schema that is followed for the translation between databases is shown in Figure 2 . Most databases simply follow the structure set by the Embase.com search strategy. The translation from Emtree terms to MeSH terms for MEDLINE in Ovid often identifies new terms that need to be added to the Embase.com search strategy before the translation to other databases.

An external file that holds a picture, illustration, etc.
Object name is jmla-106-531-f002.jpg

Schematic representation of translation between databases used at Erasmus University Medical Center

Dotted lines represent databases that are used in less than 80% of the searches.

Using five different macros, a thoroughly optimized query in Embase.com can be relatively quickly translated into eight major databases. Basic search strategies will be created to use in many, mostly smaller, databases, because such niche databases often do not have extensive thesauri or advanced syntax options. Also, there is not much need to use extensive syntax because the number of hits and, therefore, the amount of noise in these databases is generally low. In MEDLINE (Ovid), PsycINFO (Ovid), and CINAHL (EBSCOhost), the thesaurus terms must be adapted manually, as each database has its own custom thesaurus. These macros and instructions for their installation, use, and adaptation are available at bit.ly/databasemacros.

15. Test and reiterate

Ideally, exhaustive search strategies should retrieve all references that are covered in a specific database. For SR search strategies, checking searches for their recall is advised. This can be done after included references have been determined by the authors of the systematic review. If additional papers have been identified through other non-database methods (i.e., checking references in included studies), results that were not identified by the database searches should be examined. If these results were available in the databases but not located by the search strategy, the search strategy should be adapted to try to retrieve these results, as they may contain terms that were omitted in the original search strategies. This may enable the identification of additional relevant results.

A methodology for creating exhaustive search strategies has been created that describes all steps of the search process, starting with a question and resulting in thorough search strategies in multiple databases. Many of the steps described are not new, but together, they form a strong method creating high-quality, robust searches in a relatively short time frame.

Our methodology is intended to create thoroughness for literature searches. The optimization method, as described in step 11, will identify missed synonyms or thesaurus terms, unlike any other method that largely depends on predetermined keywords and synonyms. Using this method results in a much quicker search process, compared to traditional methods, especially because of the easier translation between databases and interfaces (step 13). The method is not a guarantee for speed, since speed depends on many factors, including experience. However, by following the steps and using the tools as described above, searchers can gain confidence first and increase speed through practice.

What is new?

This method encourages searchers to start their search development process using empty syntax first and later adding the thesaurus terms and free-text synonyms. We feel this helps the searcher to focus on the search terms, instead of on the structure of the search query. The optimization method in which new terms are found in the already retrieved articles is used in some other institutes as well but has to our knowledge not been described in the literature. The macros to translate search strategies between interfaces are unique in this method.

What is different compared to common practice?

Traditionally, librarians and information specialists have focused on creating complex, multi-line (also called line-by-line) search strategies, consisting of multiple record sets, and this method is frequently advised in the literature and handbooks [ 2 , 19 – 21 ]. Our method, instead, uses single-line searches, which is critical to its success. Single-line search strategies can be easily adapted by adding or dropping a term without having to recode numbers of record sets, which would be necessary in multi-line searches. They can easily be saved in a text document and repeated by copying and pasting for search updates. Single-line search strategies also allow easy translation to other syntaxes using find-and-replace technology to update field codes and other syntax elements or using macros (step 13).

When constructing a search strategy, the searcher might experience that certain parentheses in the syntax are unnecessary, such as parentheses around all search terms in the title/abstract portion, if there is only one such term, there are double parentheses in the proximity statement, or one of the word groups exists for only one word. One might be tempted to omit those parentheses for ease of reading and management. However, during the optimization process, the searcher is likely to find extra synonyms that might consist of one word. To add those terms to the first query (with reduced parentheses) requires adding extra parentheses (meticulously placing and counting them), whereas, in the latter search, it only requires proper placement of those terms.

Many search methods highly depend on the PICO framework. Research states that often PICO or PICOS is not suitable for every question [ 22 , 23 ]. There are other acronyms than PICO—such as sample, phenomenon of interest, design, evaluation, research type (SPIDER) [ 24 ]—but each is just a variant. In our method, the most important and specific elements of a question are being analyzed for building the best search strategy.

Though it is generally recommended that searchers search both MEDLINE and Embase, most use MEDLINE as the starting point. It is considered the gold standard for biomedical searching, partially due to historical reasons, since it was the first of its kind, and more so now that it is freely available via the PubMed interface. Our method can be used with any database as a starting point, but we use Embase instead of MEDLINE or another database for a number of reasons. First, Embase provides both unique content and the complete content of MEDLINE. Therefore, searching Embase will be, by definition, more complete than searching MEDLINE only. Second, the number of terms in Emtree (the Embase thesaurus) is three times as high as that of MeSH (the MEDLINE thesaurus). It is easier to find MeSH terms after all relevant Emtree terms have been identified than to start with MeSH and translate to Emtree.

At Erasmus MC, the researchers sit next to the information specialist during most of the search strategy design process. This way, the researchers can deliver immediate feedback on the relevance of proposed search terms and retrieved references. The search team then combines knowledge about databases with knowledge about the research topic, which is an important condition to create the highest quality searches.

Limitations of the method

One disadvantage of single-line searches compared to multi-line search strategies is that errors are harder to recognize. However, with the methods for optimization as described (step 11), errors are recognized easily because missed synonyms and spelling errors will be identified during the process. Also problematic is that more parentheses are needed, making it more difficult for the searcher and others to assess the logic of the search strategy. However, as parentheses and field codes are typed before the search terms are added (step 10), errors in parentheses can be prevented.

Our methodology works best if used in an interface that allows proximity searching. It is recommended that searchers with access to an interface with proximity searching capabilities select one of those as the initial database to develop and optimize the search strategy. Because the PubMed interface does not allow proximity searches, phrases or Boolean “AND” combinations are required. Phrase searching complicates the process and is more specific, with the higher risk of missing relevant articles, and using Boolean “AND” combinations increases sensitivity but at an often high loss of specificity. Due to some searchers’ lack of access to expensive databases or interfaces, the freely available PubMed interface may be necessary to use, though it should never be the sole database used for an SR [ 2 , 16 , 25 ]. A limitation of our method is that it works best with subscription-based and licensed resources.

Another limitation is the customization of the macros to a specific institution’s resources. The macros for the translation between different database interfaces only work between the interfaces as described. To mitigate this, we recommend using the find-and-replace functionality of text editors like Microsoft Word to ease the translation of syntaxes between other databases. Depending on one’s institutional resources, custom macros can be developed using similar methods.

Results of the method

Whether this method results in exhaustive searches where no important article is missed is difficult to determine, because the number of relevant articles is unknown for any topic. A comparison of several parameters of 73 published reviews that were based on a search developed with this method to 258 reviews that acknowledged information specialists from other Dutch academic hospitals shows that the performance of the searches following our method is comparable to those performed in other institutes but that the time needed to develop the search strategies was much shorter than the time reported for the other reviews [ 9 ].

CONCLUSIONS

With the described method, searchers can gain confidence in their search strategies by finding many relevant words and creating exhaustive search strategies quickly. The approach can be used when performing SR searches or for other purposes such as answering clinical questions, with different expectations of the search’s precision and recall. This method, with practice, provides a stepwise approach that facilitates the search strategy development process from question clarification to final iteration and beyond.

SUPPLEMENTAL FILE

Acknowledgments.

We highly appreciate the work that was done by our former colleague Louis Volkers, who in his twenty years as an information specialist in Erasmus MC laid the basis for our method. We thank Professor Oscar Franco for reviewing earlier drafts of this article.

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  • How to Write a Literature Review | Guide, Examples, & Templates

How to Write a Literature Review | Guide, Examples, & Templates

Published on January 2, 2023 by Shona McCombes . Revised on September 11, 2023.

What is a literature review? A literature review is a survey of scholarly sources on a specific topic. It provides an overview of current knowledge, allowing you to identify relevant theories, methods, and gaps in the existing research that you can later apply to your paper, thesis, or dissertation topic .

There are five key steps to writing a literature review:

  • Search for relevant literature
  • Evaluate sources
  • Identify themes, debates, and gaps
  • Outline the structure
  • Write your literature review

A good literature review doesn’t just summarize sources—it analyzes, synthesizes , and critically evaluates to give a clear picture of the state of knowledge on the subject.

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Table of contents

What is the purpose of a literature review, examples of literature reviews, step 1 – search for relevant literature, step 2 – evaluate and select sources, step 3 – identify themes, debates, and gaps, step 4 – outline your literature review’s structure, step 5 – write your literature review, free lecture slides, other interesting articles, frequently asked questions, introduction.

  • Quick Run-through
  • Step 1 & 2

When you write a thesis , dissertation , or research paper , you will likely have to conduct a literature review to situate your research within existing knowledge. The literature review gives you a chance to:

  • Demonstrate your familiarity with the topic and its scholarly context
  • Develop a theoretical framework and methodology for your research
  • Position your work in relation to other researchers and theorists
  • Show how your research addresses a gap or contributes to a debate
  • Evaluate the current state of research and demonstrate your knowledge of the scholarly debates around your topic.

Writing literature reviews is a particularly important skill if you want to apply for graduate school or pursue a career in research. We’ve written a step-by-step guide that you can follow below.

Literature review guide

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Writing literature reviews can be quite challenging! A good starting point could be to look at some examples, depending on what kind of literature review you’d like to write.

  • Example literature review #1: “Why Do People Migrate? A Review of the Theoretical Literature” ( Theoretical literature review about the development of economic migration theory from the 1950s to today.)
  • Example literature review #2: “Literature review as a research methodology: An overview and guidelines” ( Methodological literature review about interdisciplinary knowledge acquisition and production.)
  • Example literature review #3: “The Use of Technology in English Language Learning: A Literature Review” ( Thematic literature review about the effects of technology on language acquisition.)
  • Example literature review #4: “Learners’ Listening Comprehension Difficulties in English Language Learning: A Literature Review” ( Chronological literature review about how the concept of listening skills has changed over time.)

You can also check out our templates with literature review examples and sample outlines at the links below.

Download Word doc Download Google doc

Before you begin searching for literature, you need a clearly defined topic .

If you are writing the literature review section of a dissertation or research paper, you will search for literature related to your research problem and questions .

Make a list of keywords

Start by creating a list of keywords related to your research question. Include each of the key concepts or variables you’re interested in, and list any synonyms and related terms. You can add to this list as you discover new keywords in the process of your literature search.

  • Social media, Facebook, Instagram, Twitter, Snapchat, TikTok
  • Body image, self-perception, self-esteem, mental health
  • Generation Z, teenagers, adolescents, youth

Search for relevant sources

Use your keywords to begin searching for sources. Some useful databases to search for journals and articles include:

  • Your university’s library catalogue
  • Google Scholar
  • Project Muse (humanities and social sciences)
  • Medline (life sciences and biomedicine)
  • EconLit (economics)
  • Inspec (physics, engineering and computer science)

You can also use boolean operators to help narrow down your search.

Make sure to read the abstract to find out whether an article is relevant to your question. When you find a useful book or article, you can check the bibliography to find other relevant sources.

You likely won’t be able to read absolutely everything that has been written on your topic, so it will be necessary to evaluate which sources are most relevant to your research question.

For each publication, ask yourself:

  • What question or problem is the author addressing?
  • What are the key concepts and how are they defined?
  • What are the key theories, models, and methods?
  • Does the research use established frameworks or take an innovative approach?
  • What are the results and conclusions of the study?
  • How does the publication relate to other literature in the field? Does it confirm, add to, or challenge established knowledge?
  • What are the strengths and weaknesses of the research?

Make sure the sources you use are credible , and make sure you read any landmark studies and major theories in your field of research.

You can use our template to summarize and evaluate sources you’re thinking about using. Click on either button below to download.

Take notes and cite your sources

As you read, you should also begin the writing process. Take notes that you can later incorporate into the text of your literature review.

It is important to keep track of your sources with citations to avoid plagiarism . It can be helpful to make an annotated bibliography , where you compile full citation information and write a paragraph of summary and analysis for each source. This helps you remember what you read and saves time later in the process.

To begin organizing your literature review’s argument and structure, be sure you understand the connections and relationships between the sources you’ve read. Based on your reading and notes, you can look for:

  • Trends and patterns (in theory, method or results): do certain approaches become more or less popular over time?
  • Themes: what questions or concepts recur across the literature?
  • Debates, conflicts and contradictions: where do sources disagree?
  • Pivotal publications: are there any influential theories or studies that changed the direction of the field?
  • Gaps: what is missing from the literature? Are there weaknesses that need to be addressed?

This step will help you work out the structure of your literature review and (if applicable) show how your own research will contribute to existing knowledge.

  • Most research has focused on young women.
  • There is an increasing interest in the visual aspects of social media.
  • But there is still a lack of robust research on highly visual platforms like Instagram and Snapchat—this is a gap that you could address in your own research.

There are various approaches to organizing the body of a literature review. Depending on the length of your literature review, you can combine several of these strategies (for example, your overall structure might be thematic, but each theme is discussed chronologically).

Chronological

The simplest approach is to trace the development of the topic over time. However, if you choose this strategy, be careful to avoid simply listing and summarizing sources in order.

Try to analyze patterns, turning points and key debates that have shaped the direction of the field. Give your interpretation of how and why certain developments occurred.

If you have found some recurring central themes, you can organize your literature review into subsections that address different aspects of the topic.

For example, if you are reviewing literature about inequalities in migrant health outcomes, key themes might include healthcare policy, language barriers, cultural attitudes, legal status, and economic access.

Methodological

If you draw your sources from different disciplines or fields that use a variety of research methods , you might want to compare the results and conclusions that emerge from different approaches. For example:

  • Look at what results have emerged in qualitative versus quantitative research
  • Discuss how the topic has been approached by empirical versus theoretical scholarship
  • Divide the literature into sociological, historical, and cultural sources

Theoretical

A literature review is often the foundation for a theoretical framework . You can use it to discuss various theories, models, and definitions of key concepts.

You might argue for the relevance of a specific theoretical approach, or combine various theoretical concepts to create a framework for your research.

Like any other academic text , your literature review should have an introduction , a main body, and a conclusion . What you include in each depends on the objective of your literature review.

The introduction should clearly establish the focus and purpose of the literature review.

Depending on the length of your literature review, you might want to divide the body into subsections. You can use a subheading for each theme, time period, or methodological approach.

As you write, you can follow these tips:

  • Summarize and synthesize: give an overview of the main points of each source and combine them into a coherent whole
  • Analyze and interpret: don’t just paraphrase other researchers — add your own interpretations where possible, discussing the significance of findings in relation to the literature as a whole
  • Critically evaluate: mention the strengths and weaknesses of your sources
  • Write in well-structured paragraphs: use transition words and topic sentences to draw connections, comparisons and contrasts

In the conclusion, you should summarize the key findings you have taken from the literature and emphasize their significance.

When you’ve finished writing and revising your literature review, don’t forget to proofread thoroughly before submitting. Not a language expert? Check out Scribbr’s professional proofreading services !

This article has been adapted into lecture slides that you can use to teach your students about writing a literature review.

Scribbr slides are free to use, customize, and distribute for educational purposes.

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If you want to know more about the research process , methodology , research bias , or statistics , make sure to check out some of our other articles with explanations and examples.

  • Sampling methods
  • Simple random sampling
  • Stratified sampling
  • Cluster sampling
  • Likert scales
  • Reproducibility

 Statistics

  • Null hypothesis
  • Statistical power
  • Probability distribution
  • Effect size
  • Poisson distribution

Research bias

  • Optimism bias
  • Cognitive bias
  • Implicit bias
  • Hawthorne effect
  • Anchoring bias
  • Explicit bias

A literature review is a survey of scholarly sources (such as books, journal articles, and theses) related to a specific topic or research question .

It is often written as part of a thesis, dissertation , or research paper , in order to situate your work in relation to existing knowledge.

There are several reasons to conduct a literature review at the beginning of a research project:

  • To familiarize yourself with the current state of knowledge on your topic
  • To ensure that you’re not just repeating what others have already done
  • To identify gaps in knowledge and unresolved problems that your research can address
  • To develop your theoretical framework and methodology
  • To provide an overview of the key findings and debates on the topic

Writing the literature review shows your reader how your work relates to existing research and what new insights it will contribute.

The literature review usually comes near the beginning of your thesis or dissertation . After the introduction , it grounds your research in a scholarly field and leads directly to your theoretical framework or methodology .

A literature review is a survey of credible sources on a topic, often used in dissertations , theses, and research papers . Literature reviews give an overview of knowledge on a subject, helping you identify relevant theories and methods, as well as gaps in existing research. Literature reviews are set up similarly to other  academic texts , with an introduction , a main body, and a conclusion .

An  annotated bibliography is a list of  source references that has a short description (called an annotation ) for each of the sources. It is often assigned as part of the research process for a  paper .  

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McCombes, S. (2023, September 11). How to Write a Literature Review | Guide, Examples, & Templates. Scribbr. Retrieved February 19, 2024, from https://www.scribbr.com/dissertation/literature-review/

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What is an original research article?

An original research article is a report of research activity that is written by the researchers who conducted the research or experiment. Original research articles may also be referred to as: “primary research articles” or “primary scientific literature.” In science courses, instructors may also refer to these as “peer-reviewed articles” or “refereed articles.”

Original research articles in the sciences have a specific purpose, follow a scientific article format, are peer reviewed, and published in academic journals.

Identifying Original Research: What to Look For

An "original research article" is an article that is reporting original research about new data or theories that have not been previously published. That might be the results of new experiments, or newly derived models or simulations. The article will include a detailed description of the methods used to produce them, so that other researchers can verify them. This description is often found in a section called "methods" or "materials and methods" or similar. Similarly, the results will generally be described in great detail, often in a section called "results."

Since the original research article is reporting the results of new research, the authors should be the scientists who conducted that research. They will have expertise in the field, and will usually be employed by a university or research lab.

In comparison, a newspaper or magazine article (such as in  The New York Times  or  National Geographic ) will usually be written by a journalist reporting on the actions of someone else.

An original research article will be written by and for scientists who study related topics. As such, the article should use precise, technical language to ensure that other researchers have an exact understanding of what was done, how to do it, and why it matters. There will be plentiful citations to previous work, helping place the research article in a broader context. The article will be published in an academic journal, follow a scientific format, and undergo peer-review.

Original research articles in the sciences follow the scientific format. ( This tutorial from North Carolina State University illustrates some of the key features of this format.)

Look for signs of this format in the subject headings or subsections of the article. You should see the following:

Scientific research that is published in academic journals undergoes a process called "peer review."

The peer review process goes like this:

  • A researcher writes a paper and sends it in to an academic journal, where it is read by an editor
  • The editor then sends the article to other scientists who study similar topics, who can best evaluate the article
  • The scientists/reviewers examine the article's research methodology, reasoning, originality, and sginificance
  • The scientists/reviewers then make suggestions and comments to impove the paper
  • The original author is then given these suggestions and comments, and makes changes as needed
  • This process repeats until everyone is satisfied and the article can be published within the academic journal

For more details about this process see the Peer Reviewed Publications guide.

This journal article  is an example. It was published in the journal  Royal Society Open Science  in 2015. Clicking on the button that says "Review History" will show the comments by the editors, reviewers and the author as it went through the peer review process. The "About Us" menu provides details about this journal; "About the journal" under that tab includes the statement that the journal is peer reviewed.

Review articles

There are a variety of article types published in academic, peer-reviewed journals, but the two most common are original research articles and review articles . They can look very similar, but have different purposes and structures.

Like original research articles, review articles are aimed at scientists and undergo peer-review. Review articles often even have “abstract,” “introduction,” and “reference” sections. However, they will not (generally) have a “methods” or “results” section because they are not reporting new data or theories. Instead, they review the current state of knowledge on a topic.

Press releases, newspaper or magazine articles

These won't be in a formal scientific format or be peer reviewed. The author will usually be a journalist, and the audience will be the general public. Since most readers are not interested in the precise details of the research, the language will usually be nontechnical and broad. Citations will be rare or nonexistent.

Tips for Finding Original research Articles

Search for articles in one of the library databases recommend for your subject area . If you are using Google, try searching in Google Scholar instead and you will get results that are more likely to be original research articles than what will come up in a regular Google search!

For tips on using library databases to find articles, see our Library DIY guides .

Tips for Finding the Source of a News Report about Science

If you've seen or heard a report about a new scientific finding or claim, these tips can help you find the original source:

  • Often, the report will mention where the original research was published; look for sentences like "In an article published yesterday in the journal  Nature ..." You can use this to find the issue of the journal where the research was published, and look at the table of contents to find the original article.
  • The report will often name the researchers involved. You can search relevant databases for their name and the topic of the report to find the original research that way.
  • Sometimes you may have to go through multiple articles to find the original source. For example, a video or blog post may be based on a newspaper article, which in turn is reporting on a scientific discovery published in another journal; be sure to find the original research article.
  • Don't be afraid to ask a librarian for help!

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People Probably Like You More Than You Think

  • Erica Boothby,
  • Gus Cooney,
  • Adam Mastroianni,
  • Andrew Reece,
  • Gillian Sandstrom

a research article

A research-backed argument for why we underestimate the impression we make on others.

Do people understand the impressions they make on others or do their anxieties lead them to assume the worst? Across nearly 10 years of research and tens of thousands of observations, the authors have come to this answer: people underestimate how much others like them, and this bias has important implications for how people work together.

Initial conversations can have an outsized impact on how relationships develop over time. Naturally, people often dwell on the impressions they might have made the minute they finish speaking with someone for the first time: “Did they like me or were they just being polite?” “Was my pitch funny or offensive?” “Are they deep in thought or deeply bored?”

  • Erica Boothby is a postdoctoral researcher at the Wharton School at the University of Pennsylvania, where she teaches negotiations. Her research broadly focuses on social connection and the psychological barriers that inhibit connection, with consequences for people’s personal and professional lives. Prior to arriving at the Wharton School, Erica completed her PhD at Yale University and worked at Cornell University’s Behavioral Economics and Decision Research Center.
  • GC Gus Cooney is a social psychologist who studies conversation and social interaction. He teaches Negotiations at the Wharton School.
  • AM Adam Mastroianni is a social psychologist and research scholar at Northwestern University. He teaches negotiations to MBAs and executives and writes the popular science newsletter  Experimental History .
  • AR Andrew Reece is a behavioral data scientist at BetterUp.
  • Gillian Sandstrom is a senior lecturer in psychology at the University of Sussex. Her research focuses on how to make difficult conversations a little easier (e.g., talking about cancer, miscarriage, bereavement) and how to encourage people to talk to strangers.

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Poverty Has Soared in New York, With Children Bearing the Brunt

The share of New York City residents who could not afford basic essentials jumped dramatically in 2022, with one in four children living in poverty, a new report found.

An empty playground in New York City.

By Stefanos Chen

After several years of declining poverty, New York City saw a sharp reversal in 2022, when it experienced its largest yearly increase in the poverty level in a decade.

Twenty-three percent of the city’s residents were unable to afford basic necessities like housing and food, according to a new report by a research group at Columbia University and Robin Hood, a large philanthropic organization. In 2021, that number was 18 percent.

The number of New Yorkers living in poverty, nearly two million in all, included one in four children.

The findings mark a major setback for New York City, where expanded government aid during the coronavirus pandemic had helped to counteract job losses, rising rents and high inflation.

With most of those programs ending, poverty has risen nationwide, but the surge has been especially clear in New York, said Christopher Wimer, the director of the Center on Poverty and Social Policy at the Columbia School of Social Work and a co-author of the report.

The national poverty rate in 2022 was 12.4 percent, up from 7.8 percent in 2021, the largest one-year jump on record, according to the United States Census Bureau. New York City’s rate was nearly double the national average, and there are signs that the gap is widening, Dr. Wimer said.

“It’s dispiriting,” Dr. Wimer said. “We’re going in the wrong direction.”

The biggest reason for the increase in poverty, both nationally and in New York, was the end of pandemic-era policies like the expanded child tax credit, enhanced unemployment insurance and cash payments that helped low-income families keep up with rising costs, Dr. Wimer said.

The steep rise in the number of New Yorkers living in poverty, which grew by 500,000 residents in 2022, underscores wide and longstanding disparities.

Black, Latino and Asian New Yorkers were roughly twice as likely as white residents to live in poverty, according to the report, and women were more likely than men to be unable to afford their basic necessities.

The report, part of a study that began in 2012, was based on surveys of a representative sample of more than 3,600 New York City residents that were conducted in 2022 and 2023.

The researchers used a metric called the supplemental poverty measure, which considers both income and noncash support like food stamps, as well as the local cost of living.

It differs from the Census Bureau’s official poverty measure, which only counts cash resources, but versions of the supplemental measure are also widely used by government officials, including in reports put out by the city.

In 2022, under the supplemental measure, a family of New York City renters made up of two adults and two children was considered below the poverty line if it made less than about $44,000. The poverty threshold for a single adult renter was $20,340.

A major reason for the disparities seen among those living in poverty is the lopsided jobs recovery, said James Parrott, the director of economic and fiscal policy at the Center for New York City Affairs at the New School.

Dr. Parrott, a former chief economist for New York City, was not involved with the poverty report, but broadly agreed with its findings.

“A lot of the progress made in the prepandemic years in reducing poverty and child poverty has been undone with diverging unemployment rates by race and ethnicity,” Dr. Parrott said.

While the city said in October that it had recovered all the jobs lost during the pandemic, the positions that have returned have largely been in low-paying industries.

The retail sector, which pays around $54,000 a year and employs a large share of Black, Latino and Asian workers, has shed more jobs than any other industry, Dr. Parrott said. But the industry that is hiring the most employees, home health care, pays workers far less — around $32,100 a year. The median household income in New York City is about $75,000.

The average unemployment rate in 2023 among Black New Yorkers was 9.3 percent, more than three times higher than among white residents, according to Dr. Parrott.

“The Covid-19 pandemic took a disproportionate toll on our most vulnerable neighbors,” said Charles Lutvak, a spokesman for Mayor Eric Adams. But he pointed to a number of initiatives, including investments in a summer youth employment program and the expansion of the city’s earned-income tax credit, as signs of progress.

A full 25 percent of children in New York City lived in poverty in 2022, the highest rate since 2015, according to the report.

It was a sharp reversal from 2021, when the expansion of the federal child tax credit program cut child poverty in the city by 30 percent, said Chloe Sarnoff, the director of policy research and initiatives at Robin Hood.

The program temporarily increased the annual tax credit to up to $3,600 from $2,000 for each qualifying child under 6 years old, and up to $3,000 for older children. But Congress did not extend the benefits.

The need for public aid is clear at Grand Street Settlement, a nonprofit social services group in Lower Manhattan and Brooklyn that has seen its food pantry lines swell to 2,800 people a month, up from 500 before the pandemic.

A growing child care crisis is fueling the rising poverty rate. “If we’re going to reduce poverty in the city of New York, we have to invest in child care,” said Robert Cordero, the group’s chief executive, adding that dwindling support from the city for its free preschool program is making it harder for parents to make ends meet.

Shavon Johnson, 30, who lives in public housing on the Lower East Side, is a recent widow who was fired in September from her job as a dog food cook, where she made $20 an hour. She said she was let go because she couldn’t get to work on time and still drop her 4-year-old son, Dominique, off at school.

Now she is enrolled in a medical assistant program in the hopes of becoming a nurse — a goal she couldn’t accomplish without the free day care program offered by Grand Street Settlement, which enables her to afford other necessities.

“I would be homeless” if not for the program, she said.

The report recommended permanently expanding public benefits such as the federal child tax credit and New York’s Empire State Child Tax Credit, a credit for state residents that was first passed in 2006.

Robin Hood said it supported expanding the Empire State tax credit to a maximum benefit of $1,000 a year, per child, up from $330, and eliminating income criteria that disproportionately leaves out Black and Hispanic families.

The changes could lift up to 76,000 children out of poverty, according to an analysis by the Center on Poverty and Social Policy at Columbia.

The report also supported zoning reforms that would increase the supply of affordable housing, and an expansion of rental assistance vouchers to help keep low-income residents in their homes.

The City Council said on Wednesday that it planned to join a lawsuit ordering the city to comply with laws that would expand the voucher program, known as CityFHEPS. Mayor Adams has opposed such an expansion, arguing that it would be too costly.

Dulce Tellez, 22, is a teaching assistant for middle school students in Long Island City, Queens, where she is paid about $32,000 a year. After taxes, she said she cleared about $1,600 a month.

Every month she spends $1,000 for a babysitter and another $1,000 for her share of the rent in an apartment in Bushwick, Brooklyn, where she lives with family. She is also chipping away at more than $4,000 in student debt.

Since her expenses exceed her monthly take-home pay, she sometimes picks up shifts at a gelato shop, or works extra hours at her school.

She estimates that 60 percent of the teaching assistants she works with have to take on hourly side jobs, including as security guards or hotel receptionists.

“It makes it seem normal,” she said. “But it shouldn’t be normal.”

Stefanos Chen is a Times reporter covering New York City’s economy. He previously covered real estate in the city for over a decade. More about Stefanos Chen

A once-ignored community of science sleuths now has the research community on its heels

a research article

A community of sleuths hunting for errors in scientific research have sent shockwaves through some of the most prestigious research institutions in the world — and the science community at large.

High-profile cases of alleged image manipulations in papers authored by the former president at Stanford University and leaders at the Dana-Farber Cancer Institute have made national media headlines, and some top science leaders think this could be just the start.

“At the rate things are going, we expect another one of these to come up every few weeks,” said Holden Thorp, the editor-in-chief of the Science family of scientific journals, whose namesake publication is one of the two most influential in the field. 

The sleuths argue their work is necessary to correct the scientific record and prevent generations of researchers from pursuing dead-end topics because of flawed papers. And some scientists say it’s time for universities and academic publishers to reform how they address flawed research. 

“I understand why the sleuths finding these things are so pissed off,” said Michael Eisen, a biologist, the former editor of the journal eLife and a prominent voice of reform in scientific publishing. “Everybody — the author, the journal, the institution, everybody — is incentivized to minimize the importance of these things.” 

For about a decade, science sleuths unearthed widespread problems in scientific images in published papers, publishing concerns online but receiving little attention. 

That began to change last summer after then-Stanford President Marc Tessier-Lavigne, who is a neuroscientist, stepped down from his post after scrutiny of alleged image manipulations in studies he helped author and a report criticizing his laboratory culture. Tessier-Lavigne was not found to have engaged in misconduct himself, but members of his lab appeared to manipulate images in dubious ways, a report from a scientific panel hired to examine the allegations said. 

In January, a scathing post from a blogger exposed questionable work from top leaders at the Dana-Farber Cancer Institute , which subsequently asked journals to retract six articles and issue corrections for dozens more. 

In a resignation statement , Tessier-Lavigne noted that the panel did not find that he knew of misconduct and that he never submitted papers he didn’t think were accurate. In a statement from its research integrity officer, Dana-Farber said it took decisive action to correct the scientific record and that image discrepancies were not necessarily evidence an author sought to deceive. 

“We’re certainly living through a moment — a public awareness — that really hit an inflection when the Marc Tessier-Lavigne matter happened and has continued steadily since then, with Dana-Farber being the latest,” Thorp said. 

Now, the long-standing problem is in the national spotlight, and new artificial intelligence tools are only making it easier to spot problems that range from decades-old errors and sloppy science to images enhanced unethically in photo-editing software.  

This heightened scrutiny is reshaping how some publishers are operating. And it’s pushing universities, journals and researchers to reckon with new technology, a potential backlog of undiscovered errors and how to be more transparent when problems are identified. 

This comes at a fraught time in academic halls. Bill Ackman, a venture capitalist, in a post on X last month discussed weaponizing artificial intelligence to identify plagiarism of leaders at top-flight universities where he has had ideological differences, raising questions about political motivations in plagiarism investigations. More broadly, public trust in scientists and science has declined steadily in recent years, according to the Pew Research Center .

Eisen said he didn’t think sleuths’ concerns over scientific images had veered into “McCarthyist” territory.

“I think they’ve been targeting a very specific type of problem in the literature, and they’re right — it’s bad,” Eisen said. 

Scientific publishing builds the base of what scientists understand about their disciplines, and it’s the primary way that researchers with new findings outline their work for colleagues. Before publication, scientific journals consider submissions and send them to outside researchers in the field for vetting and to spot errors or faulty reasoning, which is called peer review. Journal editors will review studies for plagiarism and for copy edits before they’re published. 

That system is not perfect and still relies on good-faith efforts by researchers to not manipulate their findings.

Over the past 15 years, scientists have grown increasingly concerned about problems that some researchers were digitally altering images in their papers to skew or emphasize results. Discovering irregularities in images — typically of experiments involving mice, gels or blots — has become a larger priority of scientific journals’ work.   

Jana Christopher, an expert on scientific images who works for the Federation of European Biochemical Societies and its journals, said the field of image integrity screening has grown rapidly since she began working in it about 15 years ago. 

At the time, “nobody was doing this and people were kind of in denial about research fraud,” Christopher said. “The common view was that it was very rare and every now and then you would find someone who fudged their results.” 

Today, scientific journals have entire teams dedicated to dealing with images and trying to ensure their accuracy. More papers are being retracted than ever — with a record 10,000-plus pulled last year, according to a Nature analysis . 

A loose group of scientific sleuths have added outside pressure. Sleuths often discover and flag errors or potential manipulations on the online forum PubPeer. Some sleuths receive little or no payment or public recognition for their work.

“To some extent, there is a vigilantism around it,” Eisen said. 

An analysis of comments on more than 24,000 articles posted on PubPeer found that more than 62% of comments on PubPeer were related to image manipulation. 

For years, sleuths relied on sharp eyes, keen pattern recognition and an understanding of photo manipulation tools. In the past few years, rapidly developing artificial intelligence tools, which can scan papers for irregularities, are supercharging their work. 

Now, scientific journals are adopting similar technology to try to prevent errors from reaching publication. In January, Science announced that it was using an artificial intelligence tool called Proofig to scan papers that were being edited and peer-reviewed for publication. 

Thorp, the Science editor-in-chief, said the family of six journals added the tool “quietly” into its workflow about six months before that January announcement. Before, the journal was reliant on eye-checks to catch these types of problems. 

Thorp said Proofig identified several papers late in the editorial process that were not published because of problematic images that were difficult to explain and other instances in which authors had “logical explanations” for issues they corrected before publication.

“The serious errors that cause us not to publish a paper are less than 1%,” Thorp said.

In a statement, Chris Graf, the research integrity director at the publishing company Springer Nature, said his company is developing and testing “in-house AI image integrity software” to check for image duplications. Graf’s research integrity unit currently uses Proofig to help assess articles if concerns are raised after publication. 

Graf said processes varied across its journals, but that some Springer Nature publications manually check images for manipulations with Adobe Photoshop tools and look for inconsistencies in raw data for experiments that visualize cell components or common scientific experiments.

“While the AI-based tools are helpful in speeding up and scaling up the investigations, we still consider the human element of all our investigations to be crucial,” Graf said, adding that image recognition software is not perfect and that human expertise is required to protect against false positives and negatives. 

No tool will catch every mistake or cheat. 

“There’s a lot of human beings in that process. We’re never going to catch everything,” Thorp said. “We need to get much better at managing this when it happens, as journals, institutions and authors.”

Many science sleuths had grown frustrated after their concerns seemed to be ignored or as investigations trickled along slowly and without a public resolution.  

Sholto David, who publicly exposed concerns about Dana-Farber research in a blog post, said he largely “gave up” on writing letters to journal editors about errors he discovered because their responses were so insufficient. 

Elisabeth Bik, a microbiologist and longtime image sleuth, said she has frequently flagged image problems and “nothing happens.” 

Leaving public comments questioning research figures on PubPeer can start a public conversation over questionable research, but authors and research institutions often don’t respond directly to the online critiques. 

While journals can issue corrections or retractions, it’s typically a research institution’s or a university’s responsibility to investigate cases. When cases involve biomedical research supported by federal funding, the federal Office of Research Integrity can investigate. 

Thorp said the institutions need to move more swiftly to take responsibility when errors are discovered and speak plainly and publicly about what happened to earn the public’s trust.  

“Universities are so slow at responding and so slow at running through their processes, and the longer that goes on, the more damage that goes on,” Thorp said. “We don’t know what happened if instead of launching this investigation Stanford said, ‘These papers are wrong. We’re going to retract them. It’s our responsibility. But for now, we’re taking the blame and owning up to this.’” 

Some scientists worry that image concerns are only scratching the surface of science’s integrity issues — problems in images are simply much easier to spot than data errors in spreadsheets. 

And while policing bad papers and seeking accountability is important, some scientists think those measures will be treating symptoms of the larger problem: a culture that rewards the careers of those who publish the most exciting results, rather than the ones that hold up over time. 

“The scientific culture itself does not say we care about being right; it says we care about getting splashy papers,” Eisen said. 

Evan Bush is a science reporter for NBC News. He can be reached at [email protected].

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