# Methods Section Template for Reading Research Papers ## Quick Answer - Use a structured methods extraction template to record design, controls, sample size, reagents, and statistics consistently across every paper you read. - Start with the EQUATOR Network to identify the correct reporting guideline for each study type before you extract any methods details. - A template cannot fix a poorly reported study, so record what is missing and flag those gaps for your synthesis. ## Why a Methods Template Matters for Reading Research Papers Reading a research paper without a structured approach leads to inconsistent notes, missed details, and unreliable comparisons across studies. When you read ten papers on the same topic, your memory of the first paper will fade by the time you reach the tenth. A methods section template forces you to record the same categories for every paper, which makes later comparison possible. The National Library of Medicine hosts authoritative biomedical books and research-method references that explain the underlying logic of study design and reporting. These references describe why methods sections exist and what they should contain. When you read with a template, you are applying those standards to each paper you encounter. The EQUATOR Network maintains a searchable library of reporting guidelines for different study types. These guidelines list the minimum items that authors should report for a given design. Using the EQUATOR Network to identify the relevant guideline before you start reading gives you a checklist of what to look for in the methods section. A methods template is not a substitute for reading the full paper. It is a recording tool that helps you capture the details you need in a consistent format. The template works best when you use it alongside the full text, not instead of it. ## Core Principles of Methods Extraction ### Identify the Study Design First The study design determines what you can conclude from the paper. A randomized controlled trial supports causal claims. An observational study supports associations. A case report describes a single patient. The design also determines which reporting guideline applies. Record the design exactly as the authors state it. If the authors call the study a randomized controlled trial, record that term. If they call it a prospective cohort study, record that term. Do not reinterpret the design based on your own judgment unless you note the discrepancy separately. ### Record the Population and Setting The population describes who or what was studied. The setting describes where the study took place. Both matter for generalizability. A study of dairy calves in Wisconsin may not apply to beef cattle in Texas. A study of hospital patients may not apply to community patients. Record the inclusion and exclusion criteria exactly as stated. Record the recruitment method, the time period, and the geographic location. These details help you judge whether the findings apply to your own context. ### Capture the Intervention or Exposure For experimental studies, record the intervention in detail. This includes the dose, the route, the frequency, the duration, and the timing. For observational studies, record the exposure definition and how it was measured. The level of detail matters. A paper that says animals received a vaccine is less useful than a paper that says animals received a specific vaccine at a specific dose on a specific day. The template should prompt you to record the full intervention description. ### Record the Outcome Measurements The outcome is what the study measured. Record the primary outcome and any secondary outcomes. Describe how each outcome was measured, who measured it, and when it was measured. Outcome measurement details affect the validity of the study. A study that measures weight gain using a calibrated scale is different from a study that estimates weight gain visually. The template should prompt you to record the measurement method for each outcome. ### Note the Statistical Methods Record the statistical tests used, the software used, and the significance threshold. Record whether the analysis was intention-to-treat or per-protocol. Record how missing data were handled. The statistical methods section of a paper is often the hardest to read. The template does not require you to understand every test. It requires you to record what the authors say they did. ## Practical Workflow for Using the Template ### Step 1: Select the Reporting Guideline Before you read the paper, go to the EQUATOR Network and identify the reporting guideline that applies to the study design. For a randomized trial, the guideline is CONSORT. For an observational study, the guideline is STROBE. For a systematic review, the guideline is PRISMA. The EQUATOR Network provides a searchable database of these guidelines. Select the one that matches the study type and use it as your extraction checklist. ### Step 2: Read the Methods Section Once Read the methods section in full before you start filling the template. This first pass gives you an overview of what the authors did. It also helps you identify which parts of the template apply to this particular study. ### Step 3: Fill the Template Section by Section Work through the template in order. Start with the design, then the population, then the intervention, then the outcomes, then the statistics. Fill each field with the exact wording from the paper where possible. ### Step 4: Record Missing Information When the paper does not report a required item, record it as missing. Do not guess or infer. A missing item is a limitation of the paper, and your template should reflect that. ### Step 5: Compare Across Papers When you have completed templates for multiple papers, compare the methods side by side. This comparison reveals differences in design, population, intervention, and measurement that affect whether the studies can be combined. ## Template Structure and Fields ### Study Identification Fields Record the full citation, the authors, the year, the journal, and the DOI. Record the ORCID identifiers for the authors if they are listed. ORCID provides a persistent identifier for researchers that helps you track their work across publications and avoid confusion between authors with similar names. The ORCID for Researchers page explains how researchers maintain their records and integrate them with publishing workflows. When you record the ORCID in your template, you create a link to the author's full publication history. ### Design and Setting Fields Record the study design, the setting, the recruitment period, and the number of sites. Record the funding source and any conflicts of interest. The Committee on Publication Ethics Core Practices describes the standards for declaring conflicts and funding. ### Population Fields Record the inclusion criteria, exclusion criteria, sample size, and how the sample size was determined. Record the demographic characteristics of the sample. Record the recruitment and consent process. ### Intervention and Control Fields Record the intervention description, the control description, the allocation method, and the blinding status. Record the timing and duration of the intervention. Record any co-interventions or prohibited interventions. ### Outcome Fields Record the primary outcome, the secondary outcomes, the measurement methods, and the measurement timing. Record the outcome definitions and any composite outcomes. ### Statistical Fields Record the statistical tests, the software, the significance threshold, the handling of missing data, and the sensitivity analyses. Record the primary analysis population. ## At a Glance | Template Section | Key Fields to Extract | Common Reporting Gap | | --- | --- | --- | | Study identification | Authors, year, journal, DOI, ORCID | Missing ORCID or incomplete author list | | Design and setting | Design type, setting, recruitment period, sites | Vague setting description | | Population | Inclusion and exclusion criteria, sample size | Unclear sample size justification | | Intervention | Full intervention description, dose, timing, route | Incomplete intervention details | | Controls | Control type, allocation, blinding | Missing allocation method | | Outcomes | Primary and secondary outcomes, measurement method | Unclear outcome definition | | Statistics | Tests, software, significance threshold, missing data | Missing statistical software | ## Records and Measurements ### What to Record in Your Extraction Log Maintain a separate extraction log for each paper. The log should contain the date of extraction, the paper identifier, and the template fields. This log helps you track which papers you have read and which you still need to process. The National Institutes of Health Data Management and Sharing Policy describes expectations for managing and sharing research data. While this policy applies to NIH-funded research, the principle of organized data management applies to your own extraction work. A well-organized extraction log is a form of data management. ### How to Handle Discrepancies When the abstract and the full text disagree, record both versions and note the discrepancy. When the methods section and the results section disagree, record both and note the discrepancy. These discrepancies matter for your interpretation of the study. ### When to Escalate to a Professional If you are reading papers for a systematic review or a meta-analysis, and you find that the methods are too poorly reported to extract, escalate the issue. A professional librarian or a biostatistician can help you determine whether the paper should be excluded or whether the authors should be contacted for clarification. The National Library of Medicine provides access to biomedical books and research-method references that can help you understand complex methods. If you cannot resolve a methods question on your own, consult these references or a professional. ## Common Failure Patterns ### Failure to Record the Design Readers often skip the design and go straight to the results. This is a mistake. The design determines what the results mean. A template that forces you to record the design first prevents this failure. ### Failure to Record Missing Information Readers often assume that a paper that does not report a particular item simply did not do it. This is not always true. The item may have been done but not reported. The EQUATOR Network exists because reporting is often incomplete. Record missing information as missing, not as absent. ### Failure to Compare Like with Like Readers often compare studies that are not comparable. A study of adult cattle and a study of calves are not the same. A study with a different intervention dose is not the same. The template helps you see these differences before you make comparisons. ### Failure to Record the Statistical Methods Readers often skip the statistics section because it is hard to read. This is a mistake. The statistical methods determine whether the results are valid. The template forces you to record the statistical methods even if you do not fully understand them. ## Limitations of the Template The template cannot fix a poorly reported paper. If the authors did not report the sample size justification, the template cannot create it. If the authors did not report the blinding method, the template cannot infer it. The template records what is present and flags what is missing. The template cannot replace the reporting guidelines. The EQUATOR Network provides the reporting guidelines that tell authors what to report. The template is a reading tool that helps you extract what the authors did report. The two work together. The template cannot replace professional judgment. A template is a structured recording tool, not a decision-making tool. You still need to interpret the methods and judge the quality of the study. ## Safety and Regulatory Context The Committee on Publication Ethics Core Practices describe the standards for authorship, peer review, data, conflicts of interest, and misconduct. When you read a paper, you should check whether the authors have followed these standards. The template should include a field for the ethics statement and the conflict of interest declaration. The NIH Grants and Funding policy describes the official grant application and review process. When you read a paper that was funded by the NIH, the funding statement should be recorded in your template. The funding source can affect the interpretation of the results. The NIH Data Management and Sharing Policy describes the expectations for data management and sharing. When you read a paper, you should record whether the data are available and where they are available. This information is important for your own review. ## Practical Implementation Steps ### Step 1: Create Your Template Create a table with the fields listed in the At a Glance section. Use a spreadsheet or a word processor. The format does not matter. The consistency matters. ### Step 2: Test the Template on One Paper Read one paper and fill the template. Check whether the fields are clear and whether you can find the information in the paper. Adjust the template if needed. ### Step 3: Use the Template for All Papers Use the template for every paper you read. Do not skip the template for papers that seem simple. The template is a habit that keeps your extraction consistent. ### Step 4: Review Your Extraction After you have extracted five papers, review your extraction. Check whether you have been consistent in your recording. Check whether you have been recording missing information as missing. ### Step 5: Compare Across Papers Use the template to compare the papers. Look for differences in design, population, intervention, and outcomes. These differences determine whether the studies can be combined. ## Records and Measurements ### The Extraction Log The extraction log is your record of what you have read and what you have extracted. It should contain the paper identifier, the extraction date, and the template. The log helps you track your progress and identify gaps in your reading. ### The Comparison Table The comparison table is a summary of the templates for multiple papers. It lists the key fields side by side. The comparison table helps you see the differences and similarities across studies. ### The Quality Assessment The quality assessment is your judgment of the study quality. This is separate from the extraction. The extraction records what the authors did. The quality assessment judges whether what they did was appropriate. ## Building a Decision Framework for Methodological Comparability A methods template records what each paper did, but it does not tell you whether two papers can be meaningfully compared. That judgment requires a separate decision framework. Without one, you risk combining studies that differ in ways that invalidate your synthesis. This section provides a structured approach for assessing comparability across extracted methods, a scoring system for reporting completeness, and a troubleshooting method for resolving conflicts between papers. ### The Comparability Assessment Matrix Before you compare any two studies, score them across five dimensions using the Comparability Assessment Matrix. This matrix converts your extracted template fields into a structured comparison that reveals whether the studies are similar enough to combine. | Dimension | What to Compare | Compatible | Incompatible | | --- | --- | --- | --- | | Population | Species, breed, age range, health status, production system | Same species and similar age range | Different species or widely different ages | | Intervention | Agent, dose, route, frequency, duration | Same agent and comparable dose | Different agent or substantially different dose | | Control | Type of control, placebo or sham, no treatment | Same control type | Different control types | | Outcome | Definition, measurement method, timing | Same definition and measurement method | Different definitions or measurement methods | | Setting | Geographic location, season, facility type, management practices | Similar production systems | Different production systems | For each dimension, assign a score of 1 for compatible, 0 for uncertain, and negative 1 for incompatible. Sum the scores across the five dimensions. A total of 3 or higher suggests the studies are sufficiently comparable for preliminary synthesis. A total of 0 to 2 means you should compare with caution and document the differences. A negative total means the studies are not comparable and should not be combined without strong justification. The EQUATOR Network reporting guidelines provide the baseline for what should be reported in each dimension. When a paper does not report enough detail to score a dimension, assign 0 for uncertain and flag the gap. This approach prevents you from assuming compatibility when the evidence is absent. ### Reporting Completeness Score The Reporting Completeness Score measures how fully a paper reports its methods. This score is separate from study quality. A well-conducted study can be poorly reported, and a poorly conducted study can be well reported. The score tells you how much confidence you can place in your extraction. Calculate the score by dividing the number of template fields the paper reports by the total number of applicable fields. For example, if your template has 20 applicable fields and the paper reports 14, the completeness score is 70 percent. Record this score in your extraction log for each paper. The Committee on Publication Ethics Core Practices describe the standards for transparent reporting. When a paper falls below 60 percent completeness, consider whether the authors have followed these standards. A low completeness score does not automatically mean the study is invalid, but it means your extraction contains significant gaps that affect your ability to compare the study with others. Use the completeness score to prioritize your reading. When you have many papers to process, start with the papers that score highest on completeness. These papers provide the most reliable extraction and form the backbone of your synthesis. Papers with low completeness scores can be set aside or used only for specific details that are clearly reported. ### Troubleshooting Method for Conflicting Methods When two papers on the same topic report conflicting methods, you need a systematic way to resolve the conflict. The following troubleshooting method walks you through the decision process. **Step 1: Verify the extraction.** Return to the original papers and confirm that you extracted the methods correctly. Check the exact wording in the methods section. A transcription error in your template can create a conflict that does not exist in the papers. **Step 2: Check the reporting guideline.** Consult the EQUATOR Network to determine what the relevant reporting guideline requires for the disputed item. If one paper follows the guideline and the other does not, the discrepancy may be a reporting gap instead of a true methodological difference. **Step 3: Examine the study design.** Determine whether the conflicting methods reflect different designs. A randomized trial and an observational study may legitimately use different control groups or different statistical approaches. These differences are expected and should be recorded, not resolved. **Step 4: Assess the direction of the conflict.** Determine whether the conflict affects the primary outcome or a secondary detail. A conflict in the primary outcome definition is more serious than a conflict in the software used for analysis. Prioritize resolving conflicts that affect your ability to compare the primary results. **Step 5: Escalate unresolved conflicts.** If you cannot resolve the conflict after these steps, escalate the issue. Contact a professional librarian or a biostatistician who can help you interpret the methods. The National Library of Medicine provides access to biomedical books and research-method references that can clarify complex methodological questions. ### Recording the Decision Framework in Your Extraction Log Add three fields to your extraction log for each paper: the comparability score, the reporting completeness score, and the conflict resolution notes. These fields turn your extraction log from a recording tool into a decision tool. The comparability score helps you group papers for synthesis. The reporting completeness score helps you weigh the reliability of each extraction. The conflict resolution notes document how you resolved discrepancies, which is essential for transparency if you publish your review. The National Institutes of Health Data Management and Sharing Policy emphasizes the importance of documenting your data management decisions. Your extraction log is a form of research data. Recording your comparability and completeness decisions creates a transparent record that others can follow. ### Common Failure Patterns in Comparability Assessment **Failure to assess comparability before synthesis.** Readers often combine studies without checking whether the methods are similar enough. The Comparability Assessment Matrix prevents this failure by forcing you to score each dimension before you combine results. **Failure to distinguish reporting gaps from true differences.** A paper that does not report the dose is not necessarily a paper that used a different dose. The reporting completeness score helps you separate what is missing from what is different. **Failure to document conflict resolutions.** When you resolve a conflict between papers, you need to record how you resolved it. Without this record, your synthesis decisions are not transparent and cannot be audited. **Failure to escalate complex methods questions.** Some methods questions require professional judgment. The National Library of Medicine references and professional librarians exist for this purpose. Attempting to resolve complex statistical or design questions on your own can lead to errors in your synthesis. ### When to Escalate to a Professional Escalate to a professional when the comparability assessment reveals fundamental differences that you cannot resolve. This includes differences in statistical methods that affect the interpretation of results, differences in outcome definitions that prevent direct comparison, and differences in study design that change the meaning of the findings. A professional librarian can help you locate additional references or reporting guidelines. A biostatistician can help you understand whether two statistical approaches produce comparable results. The National Library of Medicine provides access to authoritative references that can support these consultations. Escalation is not a failure of your process. It is a recognition that some methods questions require specialized expertise. Document the escalation in your extraction log so that your synthesis reflects the professional input you received. ## Frequently Asked Questions ### How do I know which reporting guideline applies to a paper? Check the EQUATOR Network to identify the reporting guideline for the study type. The EQUATOR Network maintains a searchable database of reporting guidelines for different study types. Use the guideline that matches the study design. ### What should I do when a paper does not report a required item? Record the item as missing. Do not guess. A missing item is a red flag that the paper may be incomplete. The EQUATOR Network exists because reporting is often incomplete. ### How do I record the sample size when the paper does not justify it? Record the sample size as stated and note that the justification is missing. The sample size justification is a separate field in the template. If the paper does not provide a justification, record that as missing. ### How do I compare studies with different designs? You cannot directly compare studies with different designs. The template helps you see the design differences. A randomized trial and an observational study answer different questions. Record the design for each study and compare only studies with similar designs. ### How do I record the statistical methods when I do not understand them? Record the statistical methods as stated in the paper. You do not need to understand the methods to record them. The template records what the authors say they used. If you need to understand the methods, consult a biostatistician. ### How do I handle a paper with a conflict of interest? Record the conflict of interest in the template. The Committee on Publication Ethics Core Practices describes the standards for conflict of interest. A conflict of interest does not automatically invalidate a study, but it should be recorded and considered. ### How do I use the template for a systematic review? Use the template for each paper in the review. The template provides a consistent extraction format. The comparison table helps you see the differences across studies. The template is a tool for the review process. ### How do I know if the paper is trustworthy? Check the reporting quality, the ethics statement, the conflict of interest, and the funding source. The EQUATOR Network provides reporting guidelines. The Committee on Publication Ethics provides ethics standards. The NIH provides funding policy. The template records these items. ## Related Articles - [Writing the Methods Section for Qualitative Research Papers](/blog/guides/writing-the-methods-section-for-qualitative-research-papers) - [Umbrella Reviews: Synthesizing Evidence from Multiple Meta-Analyses](/blog/guides/umbrella-reviews-synthesizing-evidence-from-multiple-meta-analyses) - [Writing the Methods Section of a Scientific Paper: A Reproducibility-Focused Guide](/blog/guides/writing-the-methods-section-of-a-scientific-paper-a-reproducibility-focused-guide) - [How to Present Data in Research Papers: Methods, Tables, and Figures](/blog/guides/how-to-present-data-in-research-papers-methods-tables-and-figures) - [Network Meta-Analysis: Methods and Applications for Comparative Effectiveness](/blog/guides/network-meta-analysis-methods-and-applications-for-comparative-effectiveness) ## References and Further Reading - [Research Methods Resources](https://www.ncbi.nlm.nih.gov/books). National Library of Medicine. - [EQUATOR Network](https://www.equator-network.org/). EQUATOR Network. - [Core Practices](https://publicationethics.org/core-practices). Committee on Publication Ethics. - [NIH Grants and Funding](https://grants.nih.gov/). National Institutes of Health. - [ORCID for Researchers](https://info.orcid.org/researchers). ORCID. - [Data Management and Sharing Policy](https://sharing.nih.gov/data-management-and-sharing-policy). National Institutes of Health. - [NCBI Literature Resources](https://www.ncbi.nlm.nih.gov/). National Center for Biotechnology Information. - [PubMed](https://pubmed.ncbi.nlm.nih.gov/). National Library of Medicine. > This article is educational and does not replace institutional policy, professional advice, or applicable safety and regulatory requirements.