# How to Write an Authorship Policy for Your Research Lab: A Template By the end of this article you will have three things: a complete lab authorship policy template you can adapt in under an hour, a filled-in example showing what an adopted policy looks like in practice, and a step-by-step rollout plan that turns the document from shelf decoration into a working rule your whole lab follows. The only things you need on hand are a list of your active projects, a shared location where lab members can read documents (a shared drive, a lab wiki, or a version-controlled repository), and one lab meeting slot for discussion. ## Why a Written Authorship Policy Matters Authorship problems rarely announce themselves. They show up as a postdoc left off a paper two years after leaving, a department head added at submission without doing any work, or a graduate student who ran every experiment but lands in fifth position. These problems have names in the literature. Gift authorship describes individuals with minimal contributions listed as co-authors, often because of institutional or political norms, which inflates academic profiles without reflecting actual input. Authorship inflation of this kind distorts recognition and compounds wider problems with citation bias and the overreliance on quantitative metrics in evaluating research impact [1]. The fix is not a lecture about ethics. The fix is a written, discussed, and jointly adopted policy. Research on lab-based interventions found that when teams deliberately discuss [data management](/blog/guides/data-management-basics-principles-processes-and-best-practices) and authorship practices together, lab members are significantly more likely to share an understanding of and commitment to those practices, in part because they helped shape them [2]. A policy imposed from above gets ignored. A policy argued over in a lab meeting gets followed. There is also an equity dimension. Studies of authorship and editorial representation in publishing show persistent patterns in which researchers from minoritized backgrounds and from low- and middle-income regions receive less recognition, and a review of global health publishing found that editorial boards and authorship patterns skew heavily toward men based in high-income countries [3]. An explicit lab policy is one of the few tools a principal investigator directly controls that can counteract those defaults on the scale of a single team. ## What Counts as Authorship: The Baseline Rules Before you fill in the template, everyone in the lab needs to agree on definitions. Three distinctions do most of the work. **Authorship versus acknowledgment.** Authorship carries credit and responsibility. An author is accountable for the integrity of the work and can answer questions about it years later. A contributor named in the acknowledgments receives a thank-you with no accountability. Most journals reject honorary authorship for exactly this reason. **The four-part authorship standard.** Most biomedical journals use a four-part definition that has become the de facto standard. A person qualifies as an author when all four conditions hold: 1. They made a substantial contribution to the conception or design of the work, or to the acquisition, analysis, or interpretation of data. 2. They drafted the work or revised it critically for important intellectual content. 3. They approved the final version to be published. 4. They agree to be accountable for all aspects of the work and for questions about its integrity. Any policy you write should either adopt these four criteria outright or state clearly how your lab modifies them. Journals will check submissions against something very close to this standard, so a lab policy that diverges sharply creates friction at submission time. **Authorship versus contributorship.** Contributorship is the practice of recording what each person actually did. The Contributor Roles Taxonomy, known as CRediT, is the widely adopted 14-role standard used by most major publishers. The roles are: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing (original draft), and Writing (review and editing). Many submission systems now ask you to tag every author with one or more of these roles, which means a lab that already tracks contributions has almost no extra work at submission. ## Lab Authorship Policy Template Format: The Eight Required Sections A usable lab authorship policy template format has eight sections. Anything shorter leaves a gap that produces disputes later. Anything longer goes unread. Here is the complete template in plain text, ready to paste into a document and edit. ``` [AFFILIATION] LABORATORY AUTHORSHIP POLICY Version: 1.0 | Adopted: [DATE] | Review due: [DATE + 12 MONTHS] Policy owner: [PRINCIPAL INVESTIGATOR NAME] 1. PURPOSE AND SCOPE This policy applies to every manuscript, abstract, dataset, preprint, or other scholarly output produced by members of the [LAB NAME] Laboratory, including graduate students, postdoctoral researchers, technicians, undergraduate researchers, visiting scholars, and external collaborators. 2. AUTHORSHIP CRITERIA An individual qualifies as an author when they meet all four of the following conditions: a. Substantial contribution to the conception or design of the work, or to the acquisition, analysis, or interpretation of data. b. Drafting the work or revising it critically for important intellectual content. c. Final approval of the version to be published. d. Accountability for all aspects of the work, including the accuracy and integrity of the part they contributed. Individuals who contribute but do not meet all four criteria will be named in the acknowledgments section with a description of their specific role. No one is added as a courtesy, seniority, or funding gesture alone. 3. CONTRIBUTION RECORDING Every project maintains a contribution log using the CRediT taxonomy. The log records each contributor, their role or roles, and the date of each entry. The log is reviewed at the end of each quarter and checked against the final author list before any submission. 4. AUTHOR ORDER Author order is [choose one: negotiated among all listed authors / assigned by contribution rank from the contribution log]. Co-first and co-senior authorship is permitted and must be disclosed in a footnote explaining the equal contribution. The final author position is reserved for the supervising principal investigator, who must meet the criteria in Section 2. 5. TIMING OF AUTHORSHIP DECISIONS Authorship is discussed at the project kickoff meeting and revisited at three fixed points: when data collection is complete, when the first full draft exists, and before submission. Expectations are written into the contribution log at each point. 6. DISPUTE RESOLUTION Step 1: The authors in dispute meet with the principal investigator within 10 business days of the disagreement being raised. Step 2: If unresolved, the matter goes to the department chair, the faculty ombuds, or the institutional research integrity office. Step 3: The written outcome is recorded and appended to the contribution log for the affected project. 7. CHANGES AFTER SUBMISSION No change to the author list or author order occurs after submission without written approval from every listed author and notification to the journal editor explaining the change. 8. RECORDS AND REVIEW Contribution logs and signed copies of this policy are stored in [SHARED LOCATION]. Every new lab member reads this policy during onboarding and signs it before joining their first project. The full lab reviews and re-adopts the policy annually. Adopted by (principal investigator): ____________________ Date: ______ Reviewed by (each lab member signs at onboarding): ____________________ ``` Every bracketed field is a decision you must make. Section 2 locks in your criteria. Section 4 forces you to pick an order rule instead of leaving order to whoever drafts the manuscript first. Section 5 sets the moments when authorship is revisited, which prevents the most common failure mode, where authorship is first discussed when the manuscript is already drafted and emotions are high. ## A Lab Authorship Policy Template Example: Filled In Seeing real values helps, so here is the lab authorship policy template example with the key fields completed for a mid-sized wet-lab group of two postdocs, three graduate students, one technician, and the PI. ``` Version: 1.0 | Adopted: 2026-11-11 | Review due: 2027-11-11 Policy owner: Dr. A. Rivera 2. AUTHORSHIP CRITERIA We adopt the four-part standard in full. In our lab this means: running experiments alone does not make you an author, and writing alone does not either. Every author must have contributed intellectually, touched the manuscript, approved it, and be willing to defend it. 4. AUTHOR ORDER Order is negotiated among all listed authors, guided by the contribution log. If negotiation stalls for more than 5 business days, the contribution log determines order by rank. Co-first authorship is permitted with a footnote. The PI takes the last position only when she has met the criteria, which the log must show. 6. DISPUTE RESOLUTION Disputes go first to the PI. If the PI is a party to the dispute, the case goes directly to the department chair. ``` Two details in this example deserve attention. First, the example removes the PI from deciding disputes when the PI is involved, which removes the most common conflict of interest. Second, the example states explicitly what does not qualify someone for authorship in that lab, because students often arrive believing that bench work automatically earns a byline or that a senior collaborator's name is owed as a courtesy. ## Step-by-Step Rollout: From Template to Enforced Policy ![Eight-step rollout: draft plain text, version control, commit and tag, discuss, sign, start logs, checklist, annual review.](/article-images/illustrations/lab-authorship-policy-template-rollout-steps.webp) A policy nobody can find is worthless. This walkthrough uses version control so every change to the policy is recorded and attributable, which matters if a dispute ever escalates to an institutional office. **Step 1. Draft the policy as a plain-text file.** Save the template above as `policy.md` on your machine. Plain text survives every platform and diff tools can show changes between versions. **Step 2. Put it under version control.** ``` cd ~/lab-docs mkdir authorship-policy && cd authorship-policy git init ``` Expected output: ``` Initialized empty Git repository in /home/you/lab-docs/authorship-policy/.git/ ``` **Step 3. Commit the adopted version.** After the lab meeting discussion and edits, record the adopted version. ``` cp ~/Downloads/policy.md . git add policy.md git commit -m "Adopt authorship policy v1.0" git tag v1.0 ``` Expected output: ``` [main (root-commit) a1b2c3d] Adopt authorship policy v1.0 1 file changed, 52 insertions(+) create mode 100644 policy.md ``` The tag `v1.0` means that in two years you can run `git diff v1.0 policy.md` and show exactly what changed and when. **Step 4. Discuss it in a dedicated lab meeting.** Do not announce the policy. Walk through it section by section and let lab members challenge and amend it. The research on deliberative lab communication shows this step is not ceremony: labs that involve members in shaping the practices get measurably stronger shared commitment to those practices [2]. Budget a full hour. Common amendments include adding a rule about undergraduate co-authors, defining how conference abstracts convert into full papers, and deciding whether collaborators outside the institution are covered. **Step 5. Sign during onboarding.** Every current member signs a copy. Every future member signs on day one, alongside safety training and data management forms. Keep signed copies with lab records. **Step 6. Start the contribution logs.** Create one log per active project, in whatever research collaboration tools your lab already uses. A shared spreadsheet works. A wiki page works. What matters is that the log lists names, CRediT roles, and dates, and that it is updated at the fixed checkpoints from Section 5. **Step 7. Verify the rollout with a checklist.** Before you call it done, confirm all of the following: - The policy file exists in the shared location and every member can open it. - The repository has a version tag matching the adopted date. - Every current member has a signed copy on file. - Every active project has a contribution log with at least one dated entry. - The next review date is on the lab calendar. **Step 8. Revisit annually.** At the annual review, ask one question: did any authorship decision this year feel wrong to anyone? If yes, amend the policy, commit the change as v2.0, and move on. ## Key Decision Points at a Glance ![Decision path for an authorship dispute: try PI first, but go straight to the chair or ombuds when the PI is a party.](/article-images/illustrations/lab-authorship-policy-template-dispute-path.webp) The table below summarizes the choices you must make when adapting the template. | Decision point | Option A | Option B | Choose A when | Choose B when | |--|--|--|--|--| | Criteria basis | Four-part authorship standard, adopted in full | Modified criteria with lab-specific additions | You want zero friction with journals | Your field has unusual contribution patterns, for example data-only papers | | Author order | Negotiated among authors, log as tiebreaker | Fixed rank from the contribution log | Small lab, flat hierarchy | Large lab or multi-site collaboration where negotiation stalls | | Decision timing | Kickoff plus three fixed checkpoints | Single decision at first draft | Long projects with shifting roles | Short, well-defined analyses | | Dispute path | PI first, chair or ombuds second | Chair or ombuds directly, PI recused | PI is not a party to disputes | PI often negotiates their own position or co-authorship | | Record keeping | Shared spreadsheet per project | Version-controlled repository per project | Lab already works in shared office tools | Lab already uses version control for manuscripts and code | | Non-author contributors | Acknowledgments with role description | Formal contributorship statement only | Collaborators such as core facility staff | Publications in journals requiring structured contributor statements | ## Using Research Collaboration Tools to Make the Policy Enforceable A policy on paper is only as good as the records behind it, and this is where research collaboration tools earn their place in the workflow. Scientific collaboration across institutions, time zones, and career stages generates exactly the ambiguity that written logs resolve. Three practices make the policy self-enforcing: 1. **One canonical contribution log per project.** Not one per author, not one per manuscript draft. One log, in the shared location named in Section 8, that every listed author can read. When a dispute arises, the log is the first document anyone opens. 2. **[Persistent identifiers](/knowledge/bioinformatics/persistent-identifiers-in-bioinformatics-selection-criteria-and-implementation-workflow) for every contributor.** Every lab member registers for an ORCID iD, a persistent researcher identifier, and links it in the log. This prevents the recurring problem of name collisions and misspelled affiliations at submission and ensures credit flows to the right person across their career. 3. **Role metadata at submission.** Most publisher submission systems now request CRediT roles per author. Because your log already assigns roles in the same 14-category vocabulary, filling in the submission form becomes a copy operation rather than a fresh negotiation. If the form does not match the log, that mismatch is a signal to stop and resolve it before submitting. Version-controlled manuscript repositories serve the same function for text. If your lab writes manuscripts in a shared repository with tracked changes, the commit history doubles as evidence of who drafted and revised which sections, which directly supports criteria (a), (b), and (c) of the four-part standard. ## Power, Equity, and Honest Scientific Collaboration The most consequential part of any authorship policy is not the criteria. It is the handling of power. Junior lab members depend on the PI for letters, funding, and career advancement, which means they often cannot raise an authorship grievance directly. Collaborative research with community partners raises parallel issues, and methodological work on reducing power imbalances in research partnerships emphasizes that decisions must be structured in advance to prevent the most powerful parties from defaulting into control of credit [4]. Your policy can address this structurally rather than aspirationally: - **Give juniors a private channel.** Section 6 should name at least one dispute path that does not run through the PI, such as the department chair, the faculty ombuds, or the research integrity office. - **Set expectations for student authorship in writing.** Students consistently report that mentorship, peer support, and faculty guidance are what allow them to succeed in research projects, and unclear authorship expectations are a known source of friction in training contexts [5]. Stating in the policy that students meeting the criteria will be authors, and that conference abstracts they led carry their name, removes guesswork. - **Make the discussion itself a lab practice.** One research collective described integrating explicit attention to authorship and expertise into regular lab practices as part of building a more equitable and affirming academic environment [6]. Treat authorship as a standing agenda item at project milestones, not a crisis conversation. - **Cover community partners and contributors with lived experience.** Research teams working with community members have documented how practical barriers become ethical challenges when engagement is not meaningful from project design through dissemination [7]. If community partners contribute knowledge that shapes the work, your policy should say plainly that they qualify as authors when they meet the criteria, and that the lab will support them through the manuscript process if they are unfamiliar with it. ## Common Mistakes and Limitations **Writing the policy after the first dispute.** The policy has the most value when it is adopted before anyone is angry. Adopt it in your first month in the lab, or this month. **Treating the kickoff conversation as optional once the policy exists.** The policy is the skeleton. The discussions at the milestones in Section 5 are the muscle. A policy with no scheduled conversations produces the same surprises as no policy. **Recording contributions from memory at submission.** Recalled contributions are systematically generous to the person doing the recalling. Date-stamped logs written during the project are the whole point of Section 3. **Confusing funding with authorship.** Funding acquisition is one of the 14 CRediT roles, and it does not satisfy the four authorship criteria by itself. Funders who contributed intellectually satisfy the criteria. Funders who provided money only belong in the acknowledgments or funding statement. **Assuming journal policies substitute for lab policy.** Journal checks happen at submission, after months of work and after expectations have formed. The lab policy exists to prevent the surprise, not to resolve it at the gate. **Leaving external collaborators uncovered.** Section 1 of the template deliberately includes external collaborators. Statisticians, core facility staff, and partner-lab members are the people most often shortchanged because no one in the home lab thinks to apply the policy to them. **Copying another lab's policy without discussion.** The value of the deliberative process is that your lab members commit to rules they helped shape [2]. A borrowed policy with no discussion carries no such commitment. **One limitation to keep in view.** No template can decide an individual case for you. Authorship disputes involve people, careers, and facts that no document anticipates. When a case exceeds what your lab policy can resolve, escalate to your institution's ombuds or research integrity office early rather than late, and treat the written record from your contribution logs as your best evidence. ## Frequently Asked Questions ### What is a lab authorship policy and why do I need one? A lab authorship policy is a short written document that defines who qualifies as an author on the lab's outputs, how author order is decided, when authorship is discussed, and how disputes are resolved. You need one because research shows gift authorship and authorship inflation are widespread problems, and labs that deliberately discuss and jointly shape their authorship practices show stronger shared commitment to following them. ### Who qualifies as an author under the standard criteria? Someone who meets all four conditions: substantial contribution to conception, design, data acquisition, analysis, or interpretation, plus drafting or critical revision, plus final approval of the published version, plus accountability for the work. Meeting some but not all of the four conditions means acknowledgment, not authorship. ### When should authorship be discussed on a new project? At the project kickoff meeting, before any data exist. Discussing authorship early, when contributions are still hypothetical, is far easier than renegotiating it after the manuscript draft exists and positions feel settled. ### How do we decide author order fairly? Pick one rule in advance and write it in the policy. The two most common options are negotiated order with the contribution log acting as tiebreaker, and order assigned directly by contribution rank from the log. Either works. What fails is having no stated rule and deciding case by case. ### Can a technician, statistician, or core facility scientist be an author? Yes, if they meet all four authorship criteria. Job title is irrelevant. A staff scientist who designed the analysis and revised the manuscript qualifies, while someone who only ran samples on request does not, and that person belongs in the acknowledgments with their specific role named. ### What is the difference between authorship and acknowledgment? Authorship carries both credit and responsibility, including accountability for the integrity of the work. Acknowledgment carries credit for a specific contribution with no authorship accountability. People who contributed materials, technical services, or funding without meeting the criteria are acknowledged, and the acknowledgment should say exactly what they did. ### How do we handle a PI or senior collaborator who expects authorship without contributing? Refuse gift authorship in the policy itself, in writing, before the situation arises. State that no one is added as a courtesy, seniority, or funding gesture alone, and that the PI must meet the same four criteria as everyone else. When the expectation surfaces anyway, the contribution log is the neutral document for the conversation, and the dispute path leads outside the lab if the PI is a party. ### Do we need special software to maintain contribution logs? No. A dated shared spreadsheet per project meets the standard. If your lab already uses version control, a wiki, or publisher submission systems that request structured CRediT roles, those tools will reduce the work, but the only real requirement is one canonical, dated log per project that every contributor can read. ## Sources 1. [Challenges in Academic Authorship and Citation Metrics: Navigating Inflation, Biases, and the Rise of Evidence Synthesis.](https://pubmed.ncbi.nlm.nih.gov/42125583/) 2. [Deliberative Lab Communication and the Practice of Ethical Science.](https://pubmed.ncbi.nlm.nih.gov/42240776/) 3. [The gatekeepers of global health knowledge: A systematic review of diversity in editorial boards.](https://pubmed.ncbi.nlm.nih.gov/41399003/) 4. [Navigating power imbalances in research with children and young people in shelters for domestic violence.](https://pubmed.ncbi.nlm.nih.gov/42404682/) 5. [Undergraduate Nursing Students' Experiences in Graduation Research Projects: A Descriptive Phenomenological Study.](https://pubmed.ncbi.nlm.nih.gov/42311918/) 6. [A people's academy: (Re)imagining anti-racist research mentorship in psychology doctoral programs.](https://pubmed.ncbi.nlm.nih.gov/41478703/) 7. [When practical barriers create ethical challenges to research with women in prison: Recommendations for researchers to advance women's health.](https://pubmed.ncbi.nlm.nih.gov/43006174/)