CASRAI Dictionary

Tag: author credit taxonomy

  • CRediT Taxonomy Author Contributions Example: Trial Consortia

    A credit taxonomy author contributions example for a 100+-author clinical trial consortium paper typically cannot assign all 14 CRediT roles to every named individual. Instead, most multi-site consortia assign roles to a small “writing committee,” then credit the remaining site investigators and staff as a collective group — a workable but imperfect compromise between transparency and practicality.

    The CRediT taxonomy author contributions example published by most journals — one paper, a handful of authors, each ticking a few of the 14 roles — is straightforward. It falls apart at scale. Multi-site clinical trial consortia routinely publish primary results papers with 50, 200, or even several hundred named contributors across dozens of hospitals, laboratories, and coordinating centres. Applying individual-level CRediT attribution to every one of them is rarely feasible, and the taxonomy itself offers no scaling guidance. This article examines how consortia actually resolve that gap, where the “writing committee” shortcut helps and where it hides real accountability problems, and what research administrators should check before signing off on a consortium submission.

    CASRAI originated the CRediT contributor role taxonomy in 2014. The standard is now stewarded by NISO as ANSI/NISO Z39.104-2022, an important distinction for any institution citing CRediT in policy documents.

    Contents

    What is the CRediT taxonomy and how is it meant to work?

    The CRediT (Contributor Roles Taxonomy) is a standardised list of 14 role categories — including Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Supervision, and the two Writing roles — used to describe what each named contributor to a research output actually did. Under ANSI/NISO Z39.104-2022, any of the 14 roles can be assigned to more than one contributor, and any contributor can hold more than one role. The taxonomy was designed around conventional author lists of perhaps two to twelve people, where a corresponding author can realistically survey everyone and compile an accurate statement.

    CRediT deliberately does not define who qualifies as an author — that remains the domain of criteria such as those published by the International Committee of Medical Journal Editors (ICMJE). CRediT only describes contribution once authorship, or collaborator status, has already been decided elsewhere.

    Why does individual-level CRediT attribution break down above 100 authors?

    Multi-site clinical trial consortia — platform trials, adaptive-design mega-trials, and large international collaborative groups — routinely list hundreds of contributors: principal investigators at each site, research nurses, statisticians, data monitors, and a central coordinating team. Surveying every one of them individually against 14 role definitions, reconciling disagreements, and keeping the record current through a multi-year trial is an administrative task few coordinating centres can sustain.

    Three practical failure points recur:

    • Collection burden. A corresponding author cannot manually chase 300 collaborators for role self-declarations before every manuscript revision.
    • Role granularity mismatch. Site-level staff often perform a genuinely narrow contribution (patient recruitment, sample handling) that maps to only one or two roles, making individual disclosure administratively disproportionate to its informational value.
    • Authorship-vs-collaborator ambiguity. Not every named contributor meets full authorship criteria, and CRediT provides no mechanism of its own for distinguishing the two — that decision is made upstream, under ICMJE or journal-specific rules.

    The ICMJE’s Recommendations on the role of authors and contributors state plainly: “When a large multi-author group has conducted the work, the group ideally should decide who will be an author before the work is started and confirm who is an author before submitting the manuscript for publication.” In practice, that decision — not the CRediT assignment — is what most consortia spend their governance effort on.

    How do multi-site consortia actually assign CRediT roles?

    Three models are in active use across large trial consortia, and each trades transparency against administrative load differently. The dominant compromise is a named writing committee that receives individual CRediT attribution, combined with a collective collaborative group byline (for example, “The [Trial Name] Collaborative Group”) that carries the remaining contributors without a role-by-role breakdown for each person.

    Model How it works Transparency Administrative load
    Full individual CRediT Every named author, however many, completes a role disclosure form Highest Unsustainable above roughly 30-50 authors
    Writing committee + collective group A small writing committee gets full CRediT roles; remaining contributors are credited as a named collective group, often with individual names and site affiliations in a supplementary appendix Moderate — accountable core, opaque periphery Manageable; used by most platform and mega-trials
    Hybrid tiered disclosure Writing committee gets full CRediT roles; site principal investigators get a single broad role (e.g. Investigation); frontline staff are acknowledged, not authored Higher than pure collective model Moderate, requires a pre-agreed authorship policy

    The ICMJE recommendations also clarify how this interacts with indexing: “the byline of the article identifies who is directly responsible for the manuscript,” and MEDLINE indexes as authors whichever names appear there, while non-author collaborators can still be individually listed and searchable if the journal provides an accompanying note. This means a consortium can preserve individual, searchable credit for site staff even when it does not extend full CRediT role disclosure to each of them — an option under-used by many trial groups.

    A pre-agreed authorship and contribution policy, set before a multi-site trial begins recruitment rather than at the manuscript stage, is the single factor that most reliably prevents disputes later. Waiting until submission to decide who was an “author” versus a “collaborator” — and who gets which CRediT role — is the most common cause of delay and disagreement in large consortium publications.

    Answer-first questions on CRediT and large author groups

    What are examples of author contributions?

    Typical author contributions include conceiving the study design, securing funding, recruiting patients, collecting or curating data, performing statistical analysis, writing the first draft, and critically reviewing the final manuscript. Under CRediT, each of these maps to one of 14 defined roles rather than a vague general description.

    What should substantial contributions include to be credited as an author?

    Per ICMJE criteria, a substantial contribution requires involvement in the work’s conception or design, or the acquisition, analysis, or interpretation of data, combined with drafting or critically revising the manuscript and final approval of the published version. Meeting only one element, such as data collection alone, typically warrants acknowledgement rather than authorship.

    How to write an author contribution in a case report?

    A case report contribution statement should name each author against the specific tasks they performed — for example, clinical assessment, literature review, drafting, and supervision — using plain, specific language rather than the fuller 14-role CRediT set, which is more suited to larger, multi-method studies with a genuinely divided workload.

    What this means for research administrators, funders, and publishers

    Research offices supporting multi-site consortium trials should treat CRediT and authorship decisions as a governance item from the protocol stage, not a manuscript-stage formality. A written policy — agreed by the steering committee before recruitment starts — should specify who sits on the writing committee, what threshold of involvement earns collective-group inclusion versus acknowledgement-only, and how the supplementary collaborator list will be maintained and version-controlled across a multi-year trial.

    Funders and institutions increasingly use CRediT statements as an input to research assessment, so an opaque “collective group” byline with no supplementary breakdown under-serves early-career site staff who did substantive work but receive no individually attributable, citable role. Publishers that support both a named writing committee and a searchable, named collaborator appendix — rather than a collective name alone — give institutions and funders a materially better evidence trail for exactly this reason.

    The underlying tension is not going away: CRediT was built for conventional author teams, and large trial consortia will keep testing its edges. Until a scaling mechanism is formally added to the taxonomy, the writing-committee-plus-named-collaborator-appendix model remains the most defensible practical compromise between individual accountability and administrative reality.

  • CRediT Taxonomy at Cell Press vs STAR Methods

    Cell Press embeds the CRediT taxonomy inside a highly formalised manuscript template — Summary, STAR★Methods, and a back-matter Author Contributions section — rather than treating it as a free-floating declaration bolted onto the end of a paper. The taxonomy itself sits in Author Contributions, not inside STAR★Methods, but both are governed by the same family-wide Cell Press formatting policy. That distinction matters for anyone comparing how publishers operationalise contributor-role reporting.

    The CRediT taxonomy at Cell Press journals — Cell, Cell Reports, Molecular Cell, Cell Metabolism, and the rest of the family — follows the same 14-role vocabulary used everywhere else, but the surrounding article architecture is unusually structured. CRediT is a controlled vocabulary of 14 contributor roles used to describe who did what on a research output. Understanding where Cell Press places it, and why, is useful for research administrators, publishers, and developers building submission tooling.

    What is the CRediT taxonomy at Cell Press?

    CASRAI originated the CRediT contributor role taxonomy in 2014. The standard is now stewarded by NISO as ANSI/NISO Z39.104-2022. Cell Press adopted it early: Deborah Sweet, Cell Press’s Vice President of Editorial, announced in a June 2015 Cell Mentor post that the Author Contributions section — traditional or CRediT-formatted — was being introduced as an option across Cell Press journals.

    At that point, per Sweet’s post, the section was optional unless a paper carried co-first authorship, in which case a contributions statement became necessary to clarify precedence. The taxonomy provides 14 discrete roles:

    • Conceptualization
    • Data curation
    • Formal analysis
    • Funding acquisition
    • Investigation
    • Methodology
    • Project administration
    • Resources
    • Software
    • Supervision
    • Validation
    • Visualization
    • Writing – original draft
    • Writing – review & editing

    Cell Press has never claimed ownership of the taxonomy; its published guidance credits the originating collaboration and links out to the standard, consistent with an “originator, not owner” framing that has held since 2015.

    Where does CRediT sit relative to the Summary and STAR★Methods?

    This is the section most write-ups get wrong. Cell Press’s own manuscript-preparation guidance caps the front-matter Summary at 150 words, written as a single unstructured paragraph with no citations — it is not a labelled, IMRaD-style structured abstract. The structure that gives Cell Press its reputation lives further down the paper, in STAR★Methods (Structured, Transparent, Accessible Reporting), which replaces a conventional free-text Methods section with standardised subsections: a Key Resources Table, Resource Availability, Experimental Model and Subject Details, Method Details, and Quantification and Statistical Analysis.

    CRediT itself does not sit inside STAR★Methods. It occupies its own Author Contributions block in the back matter, ordered — per the current Cell Press article template — after Acknowledgments and before Declaration of Interests and the reference list. The practical pattern is this: STAR★Methods standardises what was done and how; the CRediT-based Author Contributions statement, sitting immediately alongside it in the same standardised back matter, standardises who did it. Both are governed by one uniform, family-wide Cell Press formatting policy that applies identically whether a paper is submitted to Cell, Molecular Cell, or Cell Reports.

    That is the genuinely distinct editorial pattern: not CRediT literally nested inside STAR★Methods, but CRediT folded into the same rigid, standardised template architecture that STAR★Methods represents — a single formatting regime covering resources, methods, and contributorship together, rather than an ad hoc statement appended wherever a given journal happens to put it.

    How does this differ from the free-standing statement used elsewhere?

    Many publishers treat the Author Contributions/CRediT statement as a genuinely free-standing element: a short paragraph or table inserted near the end of the manuscript with no other structural scaffolding around it. Cell Press’s family-wide template treats it as one governed component among several.

    Feature Cell Press pattern Typical free-standing pattern
    Summary/abstract 150-word unstructured paragraph, no citations Varies by journal; often unstructured, no fixed cap
    Methods reporting Mandatory STAR★Methods with Key Resources Table Free-text Methods, no standardised subsections
    Author Contributions placement Fixed back-matter slot after Acknowledgments, before Declaration of Interests Placement varies; sometimes front matter, sometimes end matter
    CRediT status (historically) Optional unless co-first authorship (per 2015 policy) Mandatory at many journals since 2016, e.g. Journal of Cell Science, per Company of Biologists policy
    Governance One family-wide policy across all Cell Press titles Set independently per journal or per publisher imprint

    The comparison matters for anyone auditing submission systems across publishers: a developer building CRediT-aware manuscript tooling cannot assume a single fixed position for the statement, nor assume it is mandatory everywhere. Journal of Cell Science, for instance, requires CRediT-tagged contributions during online submission and states plainly that the taxonomy does not itself determine who qualifies as an author — authorship is a separate editorial decision at every publisher, Cell Press included.

    Answer-first questions on the CRediT taxonomy

    What is the CRediT taxonomy?

    The CRediT taxonomy is a controlled vocabulary of 14 contributor roles used to describe individual contributions to a research output, from conceptualization to writing – review & editing. It replaces a single vague “authorship” credit with a granular, role-by-role statement, and it is now formalised as ANSI/NISO Z39.104-2022.

    What are the 14 roles of the CRediT taxonomy?

    The 14 roles are Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, and Writing – review & editing. Any author may hold one or several roles on a single paper.

    What does investigation mean in CRediT taxonomy?

    Investigation, in CRediT terms, means conducting the research process itself — specifically performing experiments or carrying out data and evidence collection. It is distinct from Methodology (designing the approach) and from Formal analysis (applying statistical or computational techniques to the resulting data).

    Implications for administrators, publishers, and developers

    For research administrators, the Cell Press pattern is a reminder that CRediT compliance checks cannot be reduced to “is the statement present.” Where a co-first-authorship claim appears without any Author Contributions statement, that is a Cell Press-specific red flag worth raising with authors before submission, given the historical optional-unless-co-first-authors policy.

    For publishers and journal-system developers, the lesson is architectural: pairing a standardised contributorship statement with a standardised methods-reporting format, under one uniform policy, appears to reduce the drift that otherwise causes CRediT statements to vary wildly in placement and completeness across a publisher’s own journal family. As more publishers formalise their own STAR★Methods-style templates, expect more of them to fold CRediT into the same governed structure rather than leaving it as an isolated, easily skipped field.

    The underlying taxonomy remains unchanged wherever it appears. What Cell Press demonstrates is that where and how rigidly a publisher enforces CRediT — not the 14 roles themselves — is where meaningful editorial variation still exists across the scholarly-publishing landscape.

    Related reading: the CRediT taxonomy overview, the full list of CRediT contributor roles, and CASRAI’s authorship criteria resources.

  • CRediT Taxonomy Author Contributions & ORCID: Linking Roles to Identifiers

    ORCID iDs supply the verified identity, and the CRediT contributor role taxonomy supplies the verified action — publishers deposit both together in Crossref and DataCite metadata, which then push the paired role and identifier straight into each contributor’s ORCID record. That two-way link is what closes the loop between “who contributed” and “who this person verifiably is”.

    Recording credit taxonomy author contributions is only half of a durable scholarly record. Without a persistent identifier attached to each role, a contribution statement is just free text — unverifiable, unsearchable, and impossible to reconcile across a researcher’s career. CRediT (Contributor Roles Taxonomy) is a controlled vocabulary of 14 standardised roles — such as Conceptualization, Data curation, Formal analysis, and Writing – original draft — used to describe the specific contributions individuals make to a research output. CASRAI originated the CRediT contributor role taxonomy in 2014; the standard is now stewarded by NISO as ANSI/NISO Z39.104-2022. This article is a developer-facing walkthrough of how ORCID, Crossref, DataCite, and JATS XML combine to make each role machine-readable and identity-verified.

    An ORCID iD is a persistent digital identifier that distinguishes one researcher from every other researcher sharing a name, institution, or field. On its own, a CRediT role is just a label — “Formal analysis” attached to a name string carries no guarantee that the name string maps to one real, disambiguated person. Pairing the two closes that gap: the role states what was done, the ORCID iD verifies who did it.

    This matters for three distinct audiences. Institutions use role-plus-identity data to evidence individual contribution in tenure and promotion files, particularly for early-career researchers whose specific input is otherwise buried in a long author list. Funders use it to trace who performed which type of work across grant-funded outputs. Publishers and infrastructure providers — Crossref, DataCite, JATS4R — use it to keep the scholarly record machine-readable rather than dependent on parsing free-text acknowledgements.

    How does an ORCID iD get attached to a CRediT role?

    The attachment happens at the manuscript-submission stage, not after the fact. When an author submits to a participating journal, the manuscript submission system (MSS) requires each co-author’s authenticated ORCID iD and asks the submitting or corresponding author to assign one or more of the 14 CRediT roles to every contributor. All named contributors are expected to review and agree their assigned roles before the manuscript proceeds.

    CRediT has been integrated into Aries Systems’ Editorial Manager since 2016 and into Clarivate’s ScholarOne Manuscripts since 2018, and is available as a free plug-in for the Public Knowledge Project’s Open Journal Systems (OJS). Two optional refinements are supported but not mandatory under the CRediT standard itself: an individual can hold more than one role, the same role can be assigned to multiple individuals, and a publisher may optionally record a “degree of contribution” — lead, equal, or supporting — where several people share a role.

    Note that CRediT does not define authorship. It describes the specific contributions made to a research output and is designed to complement, not replace, authorship criteria such as those set out by the ICMJE.

    Developer reference: CRediT role IDs

    For machine-to-machine interoperability, each of the 14 CRediT roles carries its own persistent role identifier (a UUID), issued by NISO. These IDs — not the plain-text role labels — are what should be embedded in JATS XML markup and passed through the Crossref/DataCite metadata pipeline alongside the contributor’s ORCID iD.

    CRediT role Persistent role ID (UUID)
    Conceptualization 8b73531f-db56-4914-9502-4cc4d4d8ed73
    Data curation f93e0f44-f2a4-4ea1-824a-4e0853b05c9d
    Formal analysis 95394cbd-4dc8-4735-b589-7e5f9e622b3f
    Funding acquisition 34ff6d68-132f-4438-a1f4-fba61ccf364a
    Investigation 2451924d-425e-4778-9f4c-36c848ca70c2
    Methodology f21e2be9-4e38-4ab7-8691-d6f72d5d5843
    Project administration a693fe76-ea33-49ad-9dcc-5e4f3ac5f938
    Resources ebd781f0-bf79-492c-ac21-b31b9c3c990c
    Software f89c5233-01b0-4778-93e9-cc7d107aa2c8
    Supervision 0c8ca7d4-06ad-4527-9cea-a8801fcb8746
    Validation 4b1bf348-faf2-4fc4-bd66-4cd3a84b9d44
    Visualization 76b9d56a-e430-4e0a-84c9-59c11be343ae
    Writing – original draft 43ebbd94-98b4-42f1-866b-c930cef228ca
    Writing – review & editing d3aead86-f2a2-47f7-bb99-79de6421164d

    The JATS4R (JATS for Reuse) working group, a NISO initiative, publishes best-practice guidance for tagging these role IDs inside <contrib> elements in JATS XML, ideally under JATS 1.2 (JATS 1.1 can still carry CRediT tagging with minor adaptation). Marking up role and ORCID iD together at the XML level — rather than only in human-readable HTML — is the step that makes the taxonomy queryable at scale.

    What happens to CRediT data after publication?

    Once a manuscript is accepted, the publisher deposits the authenticated ORCID iDs and assigned CRediT roles inside the article’s metadata record. That record goes to Crossref for journal articles and books, and to DataCite for datasets and other non-article outputs. Crossref’s own strategy roadmap confirms that CRediT role fields are being added to its metadata schema for publisher deposit in 2026, extending machine-readable contribution data beyond the publishers who currently support it only through their own MSS integrations.

    Both Crossref and DataCite maintain an auto-update integration with ORCID: once metadata is deposited and the researcher has granted permission, the publication record — including the specific CRediT role — is pushed automatically into the contributor’s ORCID record. No manual re-entry is required. Where a publication predates this pipeline, or where a publisher does not yet support automated deposit, a researcher can add the CRediT role to a work already listed on their ORCID record manually.

    Common questions about ORCID and CRediT

    What are the 14 CRediT contributor roles?

    The 14 CRediT roles are Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, and Writing – review & editing. Each carries its own persistent role ID for machine-readable tagging in JATS XML and Crossref/DataCite metadata.

    Do CRediT roles count as authorship?

    No. CRediT is not designed to determine authorship. It describes specific contributions to a research output and is intended to complement, not replace, authorship frameworks such as the ICMJE criteria. A contributor can hold a CRediT role — for example, Data curation — without meeting the separate threshold for authorship credit.

    How do I list author contributions?

    Assign one or more CRediT roles to every contributor, agree the assignments with all co-authors before submission, and, where the journal supports it, attach each contributor’s authenticated ORCID iD in the manuscript submission system so the roles are captured in structured, machine-readable metadata rather than free text.

    What should substantial contributions include to be credited as an author?

    Under ICMJE criteria, authorship requires substantial contribution to the work’s conception, design, data acquisition, analysis, or interpretation; drafting or critically revising it; final approval of the published version; and agreement to be accountable for its accuracy and integrity — all four criteria together, not any one alone.

    Implications and what’s next

    For institutions and research offices, the practical implication is straightforward: an ORCID iD without linked CRediT roles, or CRediT roles recorded only as prose in an acknowledgements paragraph, both fall short of a queryable contribution record. Research administrators evaluating authorship disputes or preparing tenure files should request the structured, role-tagged version wherever a publisher offers it.

    For developers and publishing-systems teams, the near-term action is to track Crossref’s 2026 metadata-schema rollout and adopt JATS4R’s tagging guidance now, so that role-plus-identifier pairs are captured at first deposit rather than retrofitted. As more manuscript submission systems and repositories adopt this pairing by default, the taxonomy’s original purpose — a transparent, disambiguated account of who did what — becomes something search and assessment systems can actually query, not just something a human reader can parse. Further background on the taxonomy’s individual roles is available in CASRAI’s CRediT roles reference and the broader CRediT hub.

  • Credit Taxonomy Authorship: A Case for Funder Adoption in Grant Reporting

    Opinion: grant reporting should require structured credit taxonomy authorship data alongside biosketches and final reports. Funders currently reward the named author list, not the research team that actually produced the work — and the CRediT roles already used by publishers are the readiest tool to fix that gap. This is a CASRAI perspective, not a report of confirmed funder policy: no major funder currently mandates it.

    The Contributor Role Taxonomy (CRediT) is a standardised set of 14 roles — from conceptualisation and data curation to funding acquisition and writing — used to describe who did what on a research output, distinct from the narrower question of who qualifies as an “author”. CASRAI originated CRediT in 2014; the standard is now stewarded by NISO as ANSI/NISO Z39.104-2022, and it is licensed CC-BY 4.0 for free reuse by anyone, including funders.

    What is the CRediT taxonomy, and why does grant reporting ignore it?

    CRediT is not an authorship test. It does not decide who qualifies as an author under criteria such as those set out by the International Committee of Medical Journal Editors (ICMJE); it describes contribution type once a research output exists. Publishers including Elsevier, Wiley and Taylor & Francis now require a CRediT statement at submission, mapping each named author to one or more of the 14 roles.

    Grant reporting sits entirely outside this system. A funder’s final report typically lists a principal investigator, co-investigators, and a project narrative — not a structured breakdown of who curated the data, who wrote the software, or who administered the project day to day. That gap matters because grant reports, not journal articles, are where funders form their view of “who delivered this award”.

    The case for funder-required credit taxonomy authorship data

    Three arguments support requiring CRediT-style data in grant reporting, not just at publication.

    • Credit for non-PI staff. Research software engineers, data managers, and postdoctoral researchers frequently deliver the technical core of a funded project without ever becoming a named co-investigator on the award. A contributor-role field in the final report creates an auditable record of that work, independent of authorship politics on any resulting paper.
    • Better evidence for funders’ own decisions. Funders assess renewal applications, track record, and “who can actually deliver” partly from CVs and biosketches. A structured role history — built cumulatively across a researcher’s funded outputs — is a more reliable signal than author position, which varies wildly by discipline and negotiation.
    • Continuity with ORCID. ORCID has supported CRediT role tagging on individual “Works” records since 2019. Extending the same structured field to the grant-reporting stage would let a researcher’s contributor history accumulate consistently across both outputs and awards, rather than resetting at each reporting boundary.

    None of this requires funders to redefine authorship. It only requires them to capture, at the reporting stage, data that publishers already collect at the publication stage.

    The administrative-burden counter-argument

    The strongest objection is not conceptual, it is operational. Grant reporting is already a compliance burden for research offices, and adding another structured field is not free.

    • Duplication risk. If contributor roles are recorded once at reporting and again at publication, teams will re-key the same information twice unless the two systems are linked via ORCID or a shared identifier.
    • Multi-institutional friction. Large consortium awards, common in Horizon Europe and UKRI-funded collaborations, involve dozens of contributors across institutions with different research-information systems; agreeing roles before a report deadline adds negotiation overhead.
    • Taxonomy fit. The 14 CRediT roles were designed for journal-article contributions. Some categories of grant-funded work — public engagement, infrastructure maintenance, cohort recruitment — map awkwardly onto the existing role list without local adaptation.

    These are real costs, not reasons to abandon the idea. They are reasons to pilot it narrowly and design the reporting field so it can be pre-populated from existing ORCID or publication CRediT data rather than entered from scratch.

    How grant reporting compares with today’s publisher practice

    The asymmetry between publication-stage and award-stage contributorship data is the core of the argument. It also happens to be an information gap most coverage of CRediT does not spell out.

    Stage / stakeholder Structured contributor-role data required today? Mechanism, where it exists
    Major journal publishers (Elsevier, Wiley, Taylor & Francis) Yes, at submission CRediT author statement mapping each author to one or more of 14 roles
    Grant final/interim reports (typical funder templates) No Narrative project summary and named investigator list only
    NIH biosketch No structured field Free-text “Contributions to Science” section
    ORCID “Works” record Optional, researcher-populated CRediT role tags supported since 2019
    This proposal (CASRAI perspective) Argued position, not existing policy A CRediT-derived contributor-role block appended to funder reports, pre-populated from ORCID where possible

    Answer-first questions on CRediT and author contributions

    What is funding acquisition in author contribution?

    Funding acquisition is one of CRediT’s 14 defined roles, covering acquisition of the financial support for the project that led to the published output. It is the single CRediT role most directly relevant to grant reporting, since it explicitly separates the person who secured the award from those who executed the research — a distinction current biosketch narratives rarely make clean.

    What are the criteria for author contribution?

    Under ICMJE criteria, authorship requires substantial contribution to the work’s conception or design (or data acquisition, analysis, or interpretation), drafting or critically revising the manuscript, final approval of the published version, and agreement to be accountable for it. CRediT does not replace these criteria; it sits alongside them to describe contribution type once authorship has already been determined.

    What are examples of author contributions?

    Typical CRediT-defined contributions include conceptualisation, data curation, formal analysis, funding acquisition, investigation, methodology, project administration, software, supervision, validation, visualisation, and the two writing roles — original draft, and review and editing. A single individual can hold several roles on one output.

    Implications for funders and institutions

    If funders moved toward requesting credit taxonomy authorship data in grant reports, research offices would need three things before a mandate could work in practice: an ORCID-linked pre-population mechanism to avoid double entry, a pilot cohort limited to a small number of funding calls, and explicit guidance that CRediT roles describe contribution, not authorship eligibility, so institutions do not over-interpret the data during promotion or tenure review.

    The honest case for funder adoption is incremental, not sweeping: pilot it on a subset of awards, link it to ORCID so it is populated once and reused, and treat early results as evidence rather than assuming the benefit before it is tested. Given that publishers already run this system at scale, the marginal cost of extending it one stage earlier, into grant reporting, is smaller than building a comparable structure from nothing.

  • CRediT Contributor Roles Taxonomy: A PhD Student’s Guide to the 14 Roles

    The CRediT contributor roles taxonomy is a 14-role standardised vocabulary that names, precisely, what each person contributed to a research output — from Conceptualization and Investigation through to Writing – Original Draft and Supervision. For a PhD student assembling a first author contribution statement, the taxonomy replaces vague author-order conventions with an auditable, role-by-role record. Get it right and every collaborator, including your supervisor, is credited accurately; get it wrong — by over-claiming roles you did not perform, or omitting supervision entirely — and the statement can misrepresent the research record.

    CASRAI originated the CRediT contributor role taxonomy in 2014. The standard is now stewarded by NISO as ANSI/NISO Z39.104-2022, and journals including Elsevier, Wiley and Taylor & Francis have required or offered CRediT statements since 2015. This guide is written for doctoral and early-career researchers who are completing their first CRediT statement and need to know, specifically, where first-time authors go wrong.

    What Is the CRediT Contributor Roles Taxonomy?

    The CRediT contributor roles taxonomy is a controlled vocabulary of 14 defined roles used to describe the specific contributions each named author made to a research output. CRediT does not determine authorship — publishers apply separate authorship criteria, such as the four conditions set by the International Committee of Medical Journal Editors (ICMJE), and CRediT is layered on top once authorship has already been agreed.

    Each role can be assigned to more than one contributor, and one contributor can hold several roles. Many journals also let you record a degree of contribution — lead, equal, or supporting — alongside each role, which is particularly useful when a supervisor and a PhD student both contributed to the same role in different measures.

    For a first-time author, the practical implication is this: a CRediT statement is a factual record, not a courtesy credit. Every role you list should map to work you can actually describe if a co-author, editor, or your own supervisor asks you to justify it.

    The 14 CRediT Roles Explained for First-Time Authors

    The table below gives the official NISO definition for each role alongside a plain-language example of the kind of task a PhD student, rather than a principal investigator, typically performs under that role.

    CRediT Role Official Definition (NISO) Typical PhD-Student Example
    Conceptualization Ideas; formulation or evolution of overarching research goals and aims. Proposing a specific sub-question within a supervisor’s wider research programme.
    Data Curation Management activities to annotate, scrub, and maintain data for initial and later re-use. Cleaning and documenting a dataset for deposit in a repository.
    Formal Analysis Application of statistical, mathematical, computational, or other formal techniques. Running the statistical models and interpreting the output.
    Funding Acquisition Acquisition of the financial support for the project. Rarely a student role — usually the supervisor or grant-holder.
    Investigation Conducting the research and investigation process, including experiments or data collection. Running experiments, fieldwork, or interviews.
    Methodology Development or design of methodology; creation of models. Designing the study protocol under supervisory guidance.
    Project Administration Management and coordination responsibility for research activity planning and execution. Coordinating timelines with collaborators or a laboratory.
    Resources Provision of study materials, reagents, patients, samples, instrumentation, or tools. Sourcing samples, reagents, or specialist software licences.
    Software Programming, software development, and testing of code. Writing the analysis scripts or a data-processing pipeline.
    Supervision Oversight and leadership responsibility for research activity, including mentorship. Almost always the PI or supervisor — rarely the PhD student.
    Validation Verification of the overall replication or reproducibility of results. Re-running key analyses to confirm results before submission.
    Visualization Preparation of the published work, specifically data visualisation and presentation. Building the figures and charts for the manuscript.
    Writing – Original Draft Preparation of the initial draft, including substantive translation. Writing the first full draft of the manuscript.
    Writing – Review & Editing Critical review, commentary, or revision, including pre- or post-publication stages. Revising drafts after supervisor and co-author feedback.

    The Most Common CRediT Mistakes First-Time Authors Make

    First-time authors tend to make the same handful of errors, and most of them stem from completing the statement alone, at the last minute, without checking definitions against actual tasks performed.

    • Over-claiming Conceptualization or Funding Acquisition. If the research question, hypothesis, or grant came from your supervisor’s existing programme, the honest role is more often Investigation, Methodology, or Formal Analysis — not Conceptualization.
    • Omitting Supervision entirely. Because the student usually drafts the statement, the supervisor’s oversight and mentorship role is frequently left off. NISO’s definition explicitly covers “mentorship external to the core team” — this is a distinct, real contribution that should be recorded, not assumed.
    • Role inflation — listing every role “to be safe”. CRediT exists to make contributions legible, not to maximise how many roles appear next to your name. Claim only roles you can substantiate.
    • Conflating CRediT roles with authorship qualification. NISO states plainly that CRediT is not designed to determine authorship; a role in the taxonomy is not equivalent to meeting ICMJE’s four authorship criteria.
    • Finalising the statement without co-author sign-off. Wiley’s author guidance places responsibility on the submitting author to ensure all co-authors have reviewed and agreed their roles — skipping this step is a common source of later disputes.
    • Confusing the two writing roles. Writing the first full manuscript draft (Writing – Original Draft) is a separate role from revising it after feedback (Writing – Review & Editing); many students default to listing only one.

    How to Write Your First CRediT Statement

    Use this sequence rather than filling in the statement alone on submission day.

    1. Map your actual tasks to the 14 definitions first. Work from what you did, not from what would look impressive.
    2. Draft a preliminary list with a degree of contribution (lead, equal, or supporting) for each role, following the format used by publishers such as Wiley.
    3. Schedule a dedicated conversation with your supervisor early — ideally when the manuscript is drafted, not at the submission deadline — and explicitly ask whether Supervision should be recorded for them.
    4. Circulate the full statement to every co-author for review and agreement before submission; the submitting author is responsible for confirming everyone has signed off.
    5. Reference the definitions, not memory, if there is disagreement. Point to the specific NISO wording for the contested role.
    6. Escalate unresolved disputes through your institution rather than the journal — publishers typically do not arbitrate authorship or contribution disagreements, a position consistent with COPE’s authorship-dispute guidance.
    7. Paste the final, agreed statement into your target journal’s Author Contributions section in the format that journal requires.

    Common Questions First-Time Authors Ask About CRediT

    What are examples of author contributions?

    Typical examples include a first author credited for Investigation, Formal Analysis, and Writing – Original Draft, and a supervisor credited for Conceptualization, Funding Acquisition, and Supervision. A lab technician or collaborator might be credited only for Resources or Validation, reflecting a narrower, well-defined contribution.

    How do you write an author’s contribution statement?

    Map each author’s actual tasks against the 14 CRediT role definitions, note a degree of contribution where the journal allows it, then have every author review and agree the final wording before submission. The statement should describe real work, not seniority or author order.

    Where do author contributions go in a manuscript?

    Most journals place the CRediT statement in a dedicated “Author Contributions” section, usually just before the Acknowledgements or Funding statement and after the main text. Some journals, including several using the Elsevier and Wiley submission systems, capture it as structured metadata at submission rather than free text.

    Does a single-author paper still need a CRediT statement?

    Yes — publisher guidance, including Wiley’s, confirms a sole author should still complete a CRediT statement, though they need only list the roles that genuinely apply, since one person rarely performs all 14.

    As research assessment moves toward finer-grained recognition of individual contribution — visible in ORCID’s role-linking features and in institutional promotion cases that now cite specific CRediT roles rather than author position alone — an accurate first statement matters beyond a single paper. Treat it as the first entry in a contribution record you will build on throughout your career, not a box to tick before submission.

  • Author Credit Taxonomy Support: ScholarOne, Editorial Manager and OJS Compared

    Author credit taxonomy support differs sharply across manuscript submission systems: some platforms capture each contributor’s CRediT role as a structured, exportable data field, while others still reduce it to a single free-text paragraph that cannot be parsed by machines. For institutions, publishers and developers evaluating submission infrastructure, that distinction determines whether contributor-role data can flow into JATS XML, Crossref deposits and ORCID records — or whether it dead-ends as unstructured prose on a PDF.

    The author credit taxonomy in question is CRediT (Contributor Roles Taxonomy), a controlled vocabulary of 14 categories used to describe individual contributions to a research output. CASRAI originated CRediT in 2014, following a 2012 workshop convened by Harvard University and the Wellcome Trust with input from the ICMJE and publishers including Cell Press; the taxonomy is now stewarded by NISO as ANSI/NISO Z39.104-2022. This article compares how ScholarOne, Editorial Manager, OJS and newer submission platforms implement that taxonomy at the point of manuscript intake.

    What is the CRediT taxonomy, and why does the data model matter?

    CRediT is a 14-role controlled vocabulary for describing the specific contributions each named author made to a scholarly output, rather than relying on author order or vague acknowledgements. It was designed to be machine-readable from the outset: each role is a discrete, defined category that can, in principle, be tagged, exported and queried rather than buried in a sentence.

    That “in principle” is the crux of this article. A system can offer CRediT in name — a page that says “describe contributions using CRediT” — while storing the result as one text block. Or it can capture role selection as structured, per-author data. The two approaches look identical to a human reader and completely different to any system trying to reuse the data.

    Structured fields vs free text: the distinction that matters

    Under a structured implementation, the system presents each of the 14 CRediT roles as a selectable field (typically a checkbox or dropdown per co-author), often with a degree-of-contribution qualifier (“lead”, “equal”, “supporting”). The result is stored as discrete, per-author, per-role records that can be exported programmatically.

    Under a free-text implementation, the system asks the corresponding author to write an “Author Contributions” statement, sometimes with the 14 role names listed as a prompt. The output is prose: it reads correctly on the published page but cannot be parsed reliably without natural-language processing, and cannot be validated against the controlled vocabulary at entry.

    This is the single biggest configuration variable buyers should test for, because the same underlying platform can be deployed either way:

    • A structured field validates role names against the controlled vocabulary and rejects free-form entries.
    • A structured field allows more than one role per author and more than one author per role.
    • A structured field can be exported to XML without re-keying or manual extraction.
    • A free-text field can drift from the taxonomy’s exact role names over time, breaking downstream matching.

    Which manuscript submission systems support CRediT as structured metadata?

    Support for structured CRediT capture is uneven and, for the two dominant commercial systems, largely a function of publisher configuration rather than a fixed platform feature. The table below summarises the current landscape.

    System CRediT capture model Structured export Buyer note
    ScholarOne (Clarivate) Configurable per journal — per-author role checkboxes, or a single free-text contributions field Achievable via JATS mapping when configured as structured fields Ask the editorial office how the instance is configured; the platform supports both models
    Editorial Manager (Aries Systems) Configurable per journal — a dedicated CRediT role-selection step for co-authors, where enabled Achievable via JATS/Crossref mapping once the structured step is switched on Structured capture is not universal across every Editorial Manager journal
    OJS (Public Knowledge Project) Native structured role assignment via the PKP “CRediT Roles” plugin, available from OJS 3.3 onward Role data included in OJS metadata export Open-source and self-hosted; the plugin is purpose-built for CRediT, but must be enabled per journal
    F1000Research and similar open-research platforms CRediT-style author-role fields built into the core submission form Varies by platform; several publish structured contribution statements alongside the article Newer platforms increasingly treat CRediT as a native field rather than a retrofit

    The practical implication: two journals on the same ScholarOne or Editorial Manager instance can have different CRediT data quality, purely because one editorial office enabled structured role capture and the other did not. This is the gap generic “what is CRediT” explainers do not cover — and the one that matters most to institutions harvesting contribution data at scale.

    How structured CRediT data reaches JATS, Crossref and ORCID

    Structured CRediT capture only pays off downstream if the submission system exports it in a format that JATS-compliant production systems and Crossref’s deposit schema can consume. JATS4R (JATS for Reuse) publishes a tagging recommendation for encoding contributor roles inside the JATS XML <role> element, referencing the CRediT vocabulary so that role names are unambiguous across publishers. Crossref’s metadata schema likewise supports contributor role information within deposited XML records, which is how role data becomes queryable through Crossref’s own metadata search rather than existing only inside the published PDF.

    ORCID adds a further layer: authors can have specific roles asserted against their ORCID record, giving a portable, verifiable claim to a specific contribution rather than a generic “authorship” credit. None of this works if the originating manuscript system stored the contribution as free text — there is no reliable path from a paragraph of prose back to a controlled-vocabulary role tag.

    What to check before choosing or configuring a system

    For research offices, publishers and developers evaluating or configuring a submission system, the following checklist separates genuine structured support from a CRediT-branded free-text box:

    1. Does the submission form present the 14 CRediT roles as selectable fields, not a text prompt?
    2. Can more than one role be assigned to a single co-author, and more than one co-author to a single role?
    3. Is a degree-of-contribution qualifier (lead/equal/supporting) captured alongside the role?
    4. Does the system export role data in JATS XML or an equivalent structured format, rather than only rendering it as prose on the typeset article?
    5. Is the exported role data mapped to Crossref’s contributor metadata so it is discoverable outside the publisher’s own site?
    6. Does the workflow validate entries against the current CRediT role list, preventing drift from the controlled vocabulary?

    Any system can fail several of these checks while still advertising “CRediT support” on its marketing page, because CRediT compliance and structured-data compliance are configured separately.

    Frequently asked questions

    What is the CRediT taxonomy?

    CRediT (Contributor Roles Taxonomy) is a standardised, 14-role controlled vocabulary used to describe individual author contributions to a research output. It replaces vague authorship statements with discrete, named categories such as Investigation, Methodology and Supervision, submitted alongside the manuscript.

    What are the 14 roles in the CRediT taxonomy?

    The 14 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. Each is independently assignable to any number of contributors.

    What does “Investigation” mean in the CRediT taxonomy?

    Investigation covers conducting the research process itself — specifically performing experiments or collecting data and evidence. It is distinct from Methodology (designing the approach) and Formal analysis (applying statistical or computational techniques to the resulting data).

    Implications for institutions and publishers

    Research offices building contribution-tracking dashboards, funders assessing author-level input, and publishers demonstrating transparent attribution all depend on the same upstream condition: structured capture at the point of submission. Retrofitting structured data from published free-text statements is expensive and unreliable at scale.

    The near-term trend favours structure. OJS has built a native CRediT plugin rather than treating role capture as an afterthought, and newer open-research platforms are designing CRediT fields into submission forms from launch. Commercial systems remain configurable rather than structured-by-default, so responsibility currently sits with the editorial office, not the vendor, to switch on genuine structured capture. Institutions evaluating submission infrastructure should treat “structured CRediT export” as a specific, testable procurement requirement — not an assumption that follows from a vendor’s marketing claim of CRediT support.