CASRAI Dictionary

Tag: clinical research administration

  • Sponsored Research Administration: A Glossary for New Research Administrators

    Every research administrator remembers the first week: a proposal deadline, an unfamiliar acronym in every email, and a sponsor budget template that assumes vocabulary nobody has explained yet. Sponsored research administration is the institutional function that turns externally funded research proposals into compliant, well-managed awards — and its terminology is not decorative. Getting a definition wrong on a budget justification or an effort report can trigger an audit finding months later. This glossary sets out the core terms a new administrator needs on day one, grounded in how US Uniform Guidance (2 CFR 200), UKRI, and Horizon Europe actually use them.

    What Is Sponsored Research Administration?

    Sponsored research administration is the set of institutional processes that manage externally funded research from proposal through closeout. “Sponsored” distinguishes this funding from an institution’s own discretionary research budget: the money comes from a sponsor — a federal agency, foundation, industry partner, or supranational funder such as the European Commission — under a formal agreement with binding terms and conditions.

    The function typically sits inside an office of sponsored programs or grants and contracts office, where research administrators act as connective tissue between principal investigators, sponsors, and the institution’s finance, legal, and audit functions.

    Research administration is a distinct professional field with its own bodies: NCURA (National Council of University Research Administrators) in the US, EARMA (European Association of Research Managers and Administrators), ARMA (Australasian Research Management Society), and the global umbrella body INORMS — each publishing glossaries and competency frameworks new administrators can use to benchmark their learning.

    The Sponsored-Project Lifecycle: Pre-Award and Post-Award

    Almost every glossary term maps to one of two lifecycle phases. Understanding which phase a term belongs to is often more useful for a new administrator than memorising the definition in isolation.

    • Pre-award covers everything before a sponsor issues funding: identifying opportunities, developing budgets, routing internal approvals, and submitting the proposal.
    • Post-award covers everything after the award is issued: setting up accounts, monitoring spending, certifying effort, filing reports, and closing the project out.
    Phase Typical activities Key terms in play
    Pre-award Proposal development, budget preparation, compliance review, sponsor guideline checks, submission Award, sponsor, cost share, direct costs
    Post-award Award setup, expenditure monitoring, subrecipient monitoring, effort certification, progress reporting F&A, effort certification, no-cost extension
    Closeout Final financial reporting, property disposition, final invoicing, records retention Closeout, final invoice, record retention

    Some institutions split pre-award and post-award into separate teams; others assign one administrator across the full lifecycle. Both models exist across US, UK, and European institutions, and the terminology below applies regardless of structure.

    Core Glossary: Terms Every New Research Administrator Should Know

    These are the terms that appear most frequently in sponsor guidelines, institutional policy, and day-to-day correspondence during a new administrator’s first year.

    • Award — the formal notice from a sponsor confirming a proposal has been funded, together with the binding terms and conditions governing how the money may be spent.
    • Sponsor — the funding organisation: a federal or national agency, a foundation, industry, or a supranational programme such as Horizon Europe.
    • Principal Investigator (PI) — the researcher with primary scientific and programmatic responsibility for the project, typically accountable to the sponsor for its conduct.
    • Direct costs — expenses specifically identifiable with a particular project, such as salaries, equipment, and travel directly attributable to the funded work.
    • Facilities and Administrative (F&A) costs — also called indirect costs or overhead; the expenses an institution incurs to support research broadly (buildings, utilities, central administration) that cannot be charged directly to one project. In the US, F&A rates are negotiated with a cognizant federal agency under the Uniform Guidance at 2 CFR 200.
    • Cost share (or matching) — the portion of project costs not covered by the sponsor. Mandatory cost share is a condition of the award; voluntary committed cost share is offered in the proposal but, once accepted, becomes equally binding.
    • Effort certification — a compliance process, required under 2 CFR 200.430 for US federal awards, confirming that salary charged to a project reflects the actual time an individual spent working on it.
    • Subrecipient / subaward — an organisation receiving a portion of the sponsored funding to carry out a defined part of the project’s scope, itself subject to monitoring by the prime recipient institution.
    • No-cost extension — an extension of a project’s end date, granted without additional sponsor funding, to complete the originally approved scope. Most US federal agencies permit institutions to approve one no-cost extension of up to 12 months under expanded authorities.
    • Closeout — the formal process of finalising a project: final financial and technical reports, expenditure reconciliation, and disposal of sponsor-funded equipment per the award terms.

    Grant Administration vs Grant Management

    New administrators often treat both phrases as synonyms — and in casual use, they usually are. But the terms carry a genuine distinction most onboarding material skips. Research administration (and its narrower cousin, sponsored programs administration) is typically used from the recipient institution’s perspective: how a university, hospital, or institute manages the funding it receives.

    Grant management is used more broadly, often from the funder’s perspective: how a foundation or agency administers its portfolio of outgoing grants and tracks compliance across grantees. UK charitable funders frequently use “grant management” in this funder-side sense, while UKRI and the research councils use “research administration” or “grants and contracts” for the recipient-side function. Knowing which side of the relationship a document is written from resolves most of the apparent inconsistency.

    Common Questions from New Research Administrators

    What is sponsored research administration?

    Sponsored research administration is the institutional function that manages externally funded research from proposal submission through award closeout. It spans pre-award activities such as budgeting and submission, and post-award activities such as compliance monitoring and reporting, ensuring projects meet sponsor terms and institutional policy.

    What is the role of a research administrator?

    A research administrator supports investigators through proposal preparation, budget development, and compliance review, then manages the awarded grant or contract through spending, reporting, and closeout. The role bridges researchers, sponsors, and institutional offices including finance, legal, and compliance.

    How do you become a research administrator?

    Most research administrators enter the profession from finance, project-management, or academic-support backgrounds rather than a dedicated degree route. Professional bodies including NCURA, EARMA, ARMA, and INORMS offer certificate programmes and community-recognised credentials that formalise skills learned on the job.

    Why Terminology Precision Matters

    Imprecise terminology is not cosmetic — it has direct compliance and financial consequences. Confusing mandatory cost share with voluntary committed cost share can leave an institution under-reporting a binding obligation, and treating F&A as a negotiable line item rather than a federally negotiated rate can misstate a budget before it reaches a sponsor.

    Effort certification errors are a recurring federal audit finding precisely because the underlying concept — that certified effort must reflect actual work performed, not budgeted intent — is easy to state and easy to get wrong in practice. New administrators who internalise precise definitions early avoid the costliest category of error: one that surfaces only at audit, long after the relevant staff have moved on.

    For institutions spanning US, UK, and EU funding environments, shared vocabulary matters even more: a research administration office managing both NIH awards and Horizon Europe grants must translate between US-specific terms like “no-cost extension” and the amendment-request processes used by European funders, without losing the underlying compliance intent.

    Building Fluency as the Profession Grows

    Sponsored research administration is professionalising quickly. Certificate programmes, competency frameworks from NCURA and EARMA, and growing recognition of research administration as a distinct career path — rather than an administrative afterthought — point toward a field with rising expectations for precise, shared terminology.

    For a new research administrator, fluency in these terms is not academic: it is the difference between a clean proposal budget and a rejected one, a routine effort report and an audit flag, a smooth closeout and a delayed final payment. Treat this glossary as a starting reference, not a substitute for institutional policy — always confirm current thresholds and rates against your own sponsor’s current guidelines, since these are periodically revised.

    CASRAI’s broader research administration resources and dictionary of standards terminology extend this glossary into adjacent areas, including researcher identification, funder metadata, and contribution reporting standards that increasingly intersect with sponsored-project compliance.

  • Grant Peer Review Under OMB’s Proposed 2026 Uniform Grants Regulation

    The Office of Management and Budget (OMB) has proposed a rewrite of the federal government’s grant-making rulebook that would change how grant peer review functions across agencies including the National Institutes of Health (NIH), the National Science Foundation (NSF) and the Department of Energy. According to reporting from STAT News, Inside Higher Ed, Science and NPR, the draft rule would convert the long-standing “Uniform Guidance” (2 CFR Part 200) into a binding “Uniform Grants Regulation,” subordinating scientific merit review to a new layer of political sign-off and giving agency political appointees explicit authority to terminate awards that no longer track administration priorities.

    For research administrators, the proposal is not a routine compliance update. It touches the mechanism — independent expert review — that has underpinned federal research funding decisions for more than half a century.

    What OMB’s Proposed Grants Rule Changes

    Uniform Guidance governs financial assistance rules across virtually every federal grant-making agency, covering everything from allowable costs to audit requirements. OMB’s proposal would elevate that guidance to a binding regulation and layer several new mechanisms on top of it. The core changes reported by STAT, Inside Higher Ed, Science and NPR include:

    • A mandatory pre-issuance review of discretionary grant awards by senior political appointees before funds are released.
    • Reclassification of peer-review recommendations as advisory rather than binding or routinely deferred to.
    • An undefined “Gold Standard Science” criterion appointees may apply during sign-off.
    • Expanded termination authority for awards deemed misaligned with agency priorities, including multi-year awards already underway.
    • New pre-approval requirements for costs tied to publications, conference attendance and journal subscriptions.
    • A “domestic-first” preference framework for research and development awards.
    • Prohibitions on funding tied to diversity, equity and inclusion (DEI) activities, “gender ideology,” or research supporting disparate-impact liability theories.
    • Elimination of fixed-amount subawards.

    The public comment period is reported to close on 13 July 2026, with an anticipated effective date of 1 October 2026 if the rule is finalised largely as proposed.

    From Deference to “Advisory”: How Peer Review’s Role Shrinks

    Under current practice, agencies such as NIH route applications through scientific review groups or study sections, which score proposals on significance, approach, innovation and investigator qualifications. Program officials retain formal award authority, but in practice they defer heavily to review scores and percentile rankings to set paylines.

    The proposed rule text, as reported across multiple outlets, states that peer-review recommendations “are not ministerially ratified, routinely deferred to, or otherwise treated as de facto binding” by senior appointees. That is a structural change: a proposal that clears scientific review with a strong score could still be delayed, reprioritised or rejected at a political pre-issuance gate that sits above the merit-review process rather than alongside it.

    Research associations — including the Association of Public and Land-grant Universities (APLU), the American Association for Cancer Research (AACR) and the Computing Research Association (CRA) — have raised concerns that the change would insert non-scientific criteria into funding decisions that have historically been insulated from politics precisely to protect scientific rigour and public trust.

    Aspect Current practice Proposed rule
    Peer-review status De facto determinative for most competitive awards Explicitly advisory
    Final sign-off Program/agency officials, largely deferential to review scores Senior political appointees, mandatory pre-issuance review
    Termination grounds Non-compliance, budget, performance Adds “no longer aligned with agency priorities,” including mid-award
    Allowable costs Publications, conferences, subscriptions generally allowable Pre-approval required for these cost categories
    Subaward mechanism Fixed-amount subawards permitted Fixed-amount subawards eliminated

    Grant Peer Review: Common Questions Answered

    What is a peer-reviewed grant?

    A peer-reviewed grant is funding awarded after independent subject-matter experts assess a proposal’s scientific merit — its significance, approach, feasibility and investigator qualifications — typically through a scored study section or review panel. At NIH, review groups assign priority scores that traditionally shape funding decisions, though final award authority sits with the agency, not the reviewers.

    What is the peer review process for grant applications?

    The peer review process for grant applications routes each proposal to subject-matter reviewers, who score it against published criteria and then discuss and rank applications in a panel meeting. Agencies use these rankings to set paylines and prioritise funding. Under OMB’s proposed rule, that ranking becomes one advisory input rather than the determining factor in a funding decision.

    Do grant reviewers get paid?

    Yes. Federal agencies, including NIH, typically pay peer reviewers a daily honorarium plus travel expenses for study section service. Many reviewers describe the compensation as modest relative to the time required to read, score and discuss a full panel’s worth of competing applications ahead of each review cycle.

    Expanded Termination Authority and Award-Level Risk

    Beyond the review gate itself, the proposal reported by STAT, Science and Inside Higher Ed would broaden agencies’ authority to suspend or terminate grants — including multi-year awards already in progress — if they are deemed no longer aligned with agency priorities or the “national interest.” It would also widen risk assessment of applicants to consider an institution’s affiliation with organisations engaged in activities that “violate Federal law, undermine public safety or national security, or advocate for the overthrow of the United States Government,” a standard with considerable interpretive latitude.

    Paired with new pre-approval requirements for publication, conference and journal-subscription costs, and the removal of fixed-amount subawards, the combined effect is a research-funding environment where mid-project risk is materially higher than under the current framework, even for awards that passed scientific review cleanly.

    What This Means for Research Administrators

    For institutions managing portfolios that depend on merit-reviewed research funding, the proposal raises operational, not just scientific, questions. Recommended near-term actions include:

    • Model termination risk explicitly in multi-year budget and staffing plans, rather than treating a scored, funded award as a settled commitment.
    • Audit cost-approval workflows for publication, conference and subscription spending now, ahead of any pre-approval mandate taking effect.
    • Brief principal investigators on the distinction between a favourable peer-review score and a final funding decision under the proposed pre-issuance review.
    • Coordinate institutional comments through professional associations such as NCURA and ARMA before the docket closes.
    • Track subaward structures that rely on fixed-amount mechanisms, which the proposal would eliminate.

    Offices that have historically treated peer-review outcomes as the primary predictor of award stability will need a second, policy-alignment layer in their risk assessment — one that is harder to forecast because it depends on political judgement rather than published scoring criteria.

    What Happens Next

    The proposed rule remains open for public comment, with reporting placing the deadline at 13 July 2026 and a possible effective date of 1 October 2026 if OMB finalises it substantially as drafted. Scientific and higher-education associations are expected to submit extensive comments opposing the advisory reclassification of peer review, and legal challenges are plausible if the rule is finalised without significant revision, given its scope relative to existing statutory peer-review requirements at agencies such as NIH.

    Until the final text is published, research administrators should treat every provision summarised here as subject to change — but the direction of travel is unambiguous: less deference to scientific merit review, and more discretionary authority at the award-decision and award-termination stages. Institutions that update their risk models and compliance workflows now will be better placed to respond once the rule, in whatever form it takes, becomes binding.

  • Indirect Cost Rate Negotiation: A Step-by-Step NICRA Guide

    Every research administrator eventually confronts the same negotiation: how to persuade a federal cognizant agency that the true overhead cost of running a laboratory, a sponsored programme, or an entire research enterprise deserves fair reimbursement. The indirect cost rate that comes out of that negotiation — formalised in a Negotiated Indirect Cost Rate Agreement, or NICRA — determines how much of an institution’s administrative and facilities burden is actually recovered on every federal award it holds. This guide walks through the mechanics: how to choose a rate type, build a defensible proposal, and manage the negotiation itself.

    This is a process guide, not a policy explainer. For background on the funding-cap debate around indirect cost recovery under the OMB Uniform Guidance, see CASRAI’s separate coverage of that policy story. Here, the focus is what a research office actually has to do — and in what order — to walk out of a negotiation with a usable rate agreement.

    What Is a NICRA, and Who Needs One?

    A NICRA is a formal, signed agreement between an organisation and its cognizant federal agency — generally whichever agency provides the largest share of that organisation’s direct federal funding — that fixes the percentage rate used to recover indirect costs on federal awards. For most US colleges and universities, cognizance sits with either the Department of Health and Human Services’ Division of Cost Allocation or the Department of the Navy’s Office of Naval Research; nonprofits and other award recipients are typically assigned a cognizant agency by whichever federal funder they draw the most direct money from.

    Once negotiated, a NICRA is binding across all federal agencies, not just the one that negotiated it — a single rate agreement travels with the organisation to every subsequent federal award. Organisations that have never held a NICRA, or whose rate has lapsed, have a fallback: 2 CFR 200.414(f) permits use of a de minimis rate of up to 15% of modified total direct costs (MTDC) without negotiation, though that rate must then be applied consistently across every federal award until a negotiated rate is obtained.

    Preparing the Indirect Cost Rate Proposal

    Before submitting anything, the research office has two decisions to make: which rate type to request, and what documentation the proposal will need to withstand review.

    Rate type Definition Adjustable later?
    Provisional Temporary rate used for interim billing pending a final rate for the same period Yes — reconciled against actual costs
    Final Rate set once actual costs for a completed fiscal year are known No
    Predetermined Fixed rate set in advance for a future period, based on a prior representative period’s actual costs No, for that period
    Fixed with carry-forward Predetermined rate with a built-in adjustment for the gap between estimated and actual costs Adjusted in the following period

    Organisations that have never negotiated a rate should generally submit their first proposal within three months of receiving a federal award; organisations with an existing NICRA must submit an updated proposal within six months of the close of each fiscal year covered by that agreement. Missing this window can force an organisation back onto the de minimis rate until a new proposal is accepted.

    A complete indirect cost rate proposal package typically includes:

    • A cover letter stating the fiscal period, rate type requested, and allocation base
    • An organisational chart and description of each unit’s functions
    • Audited financial statements or a Single Audit Report for the fiscal year under review
    • A cost policy statement setting out which costs are charged directly versus indirectly
    • The indirect cost rate calculation itself — indirect cost pool divided by the chosen direct cost base — reconciled line-by-line to the financial statements
    • A schedule of salary and wage allocation between direct and indirect functions
    • A statement of employee fringe benefits
    • A complete listing of federal grants and contracts active during the fiscal year
    • A signed Certificate of Indirect Costs and lobbying certification

    Every unallowable cost — entertainment, alcohol, lobbying, fundraising — must be scrubbed from the indirect cost pool before submission; a proposal that includes unallowable costs, even inadvertently, is the single most common reason negotiations stall.

    Negotiating With Your Cognizant Agency

    Once a proposal is accepted for review, a negotiator or auditor at the cognizant agency is assigned to check compliance with the applicable federal cost principles — 2 CFR Part 200 (the Uniform Guidance) for nonprofits, colleges, and local governments, or FAR Part 31 for commercial organisations under agencies such as the Defense Contract Audit Agency. Expect an iterative back-and-forth: requests for supporting documentation, clarification of allocation methodologies, and questions about specific cost pool line items.

    If agreement is reached, the cognizant agency issues the NICRA for signature. If it is not — because of disputed pool expenses or a disagreement over the allocation base — the agency may instead issue a unilateral rate agreement. An organisation that disagrees with a unilateral rate typically has a defined window (30 days, under NSF’s published appeal procedures) to invoke formal appeal procedures before the unilateral rate takes effect by default.

    What is the difference between direct and indirect costs?

    Direct costs are expenses specifically identifiable with a single project — a piece of equipment, a research assistant’s salary. Indirect costs, sometimes called facilities and administrative (F&A) costs, are shared expenses — utilities, general administration, facilities maintenance — that benefit multiple projects and cannot be assigned to just one.

    How do you calculate an indirect cost rate?

    An indirect cost rate is calculated by dividing the total indirect cost pool by a chosen direct cost base, typically modified total direct costs (MTDC). The resulting percentage is applied to that base on each award to determine how much indirect cost recovery the project generates.

    What percentage should indirect costs be?

    There is no single “correct” indirect cost rate — negotiated rates vary widely by institution type, facilities intensity, and cost base. Organisations without a negotiated rate may instead use the de minimis rate of up to 15% of modified total direct costs under 2 CFR 200.414(f).

    What is an example of an indirect cost?

    Common examples include administrative salaries, building depreciation, utilities, general liability insurance, and shared IT infrastructure — costs that support the whole organisation rather than any single sponsored project.

    Implications for Research Offices and What Comes Next

    Negotiating a NICRA is resource-intensive: it typically demands sustained input from finance, sponsored programmes, and facilities staff over several months, and the resulting rate directly shapes how much overhead recovery an institution can budget against every subsequent federal award. Institutions weighing whether negotiation is worth the administrative overhead should treat the de minimis 15% MTDC rate as a genuine fallback for smaller or first-time federal recipients, not a permanent compromise — most organisations with significant sustained federal funding recover meaningfully more through a negotiated rate over time.

    Because a signed NICRA binds every federal agency, not just the one that negotiated it, getting the proposal right the first time avoids repeat renegotiation cycles. As indirect cost recovery policy continues to attract political scrutiny at the federal level, research offices that maintain clean, well-documented cost pools and submit proposals on schedule will be best placed to defend their negotiated rates regardless of how the broader policy debate resolves. Robust research administration practice — accurate cost allocation, disciplined recordkeeping, and early engagement with the cognizant agency — remains the most reliable lever an institution controls in this process.

  • Horizon Europe’s Open Access Mandate for Monographs and Books: What Publishers Need to Know in 2026

    Publishers of academic monographs and edited volumes have a narrowing compliance window in 2026. Institutional guidance issued by research offices across the European Research Area has now confirmed what many university presses suspected was coming: the Horizon Europe monograph open access requirement is being applied as an immediate, no-embargo obligation, not the softer “within twelve months” allowance that long-form outputs enjoyed under Horizon 2020. For scholarly and university-press publishers still relying on embargo windows to protect print sales, the operational implications are significant.

    The shift matters because monographs and edited volumes occupy a different economic and editorial position from journal articles. Peer review cycles are longer, production costs are higher, and many presses depend on frontlist sales in the first year after publication to recoup costs. A mandate that removes the embargo option for Horizon Europe-funded books effectively forces a shift toward open-access business models — book processing charges, subvention funds, or collective funding mechanisms — well before most presses had budgeted for it.

    The Horizon Europe Monograph Open Access Mandate: What Changed

    Horizon Europe’s Model Grant Agreement has, since the programme’s launch, required beneficiaries to ensure open access to peer-reviewed scientific publications arising from funded research, with deposit in a trusted repository at the latest at the time of publication. For journal articles this has meant immediate open access with no embargo permitted — a marked tightening compared with Horizon 2020. Monographs, book chapters and other long-form outputs, however, historically sat in a grey zone: guidance permitted longer embargoes given the different production and revenue model of long-form scholarly publishing.

    Institutional research offices are now reporting that this grey zone has closed. Updated guidance interpreting the Annotated Grant Agreement treats monographs and edited volumes arising from Horizon Europe grants as subject to the same immediate open access expectation as articles, with limited scope for embargo exceptions and only where a beneficiary can demonstrate a documented conflict with legitimate commercial interests, such as a pre-existing publishing contract negotiated before the mandate took effect. In practice, this means grant-holders negotiating new book contracts from 2026 onward should assume zero embargo is the default position, not the exception.

    CC Licensing Rules for Long-Form Outputs

    The licensing dimension is equally consequential. Horizon Europe’s default licensing requirement is CC BY (or a licence with equivalent rights) for the version of record or the final peer-reviewed manuscript, with CC BY-ND permitted in specific cases where the beneficiary can justify it — for instance, to protect the integrity of a monograph’s narrative argument or illustrative content from unauthorised adaptation. For edited volumes with multiple contributing authors, this creates a coordination burden that journal publishers rarely face: every contributor’s chapter must carry a licence consistent with the funder mandate, and permissions for third-party material (images, maps, quoted text) must be cleared for reuse under an open licence rather than the more restrictive “all rights reserved” terms many presses still default to in contracts.

    Publishers should also note that Horizon Europe’s guidance treats the CC licensing requirement as attaching to the funded output itself, not to the press’s broader catalogue. This means a single edited volume may need to carry different licensing terms for different chapters if only some contributors were funded by Horizon Europe grants — a scenario production and rights teams need workflow support to manage rather than resolving case-by-case at proof stage.

    Which Horizon Europe Calls Are Affected

    The monograph mandate is not confined to a single funding stream. It applies wherever a Horizon Europe grant supports the underlying research, which means publishers should expect it across the full spread of Horizon Europe calls that fund book-length outputs — most visibly in Cluster 2 (Culture, Creativity and Inclusive Society), where monographs remain a primary dissemination format, but increasingly in interdisciplinary projects funded through Horizon Europe cluster 5 calls (Climate, Energy and Mobility) where policy-facing edited volumes and technical assessment books are common outputs. The Horizon Europe work programme 2025 carried forward the same open access conditions into 2026-funded actions, so presses handling manuscripts from projects awarded under that programme are already inside the compliance window.

    Health-focused publishers should pay particular attention. Horizon Europe health calls 2026 continue to fund large collaborative projects that frequently produce edited clinical or public-health volumes alongside journal outputs, and the European Commission’s open science requirements apply equally to both formats. University presses that have historically treated health-adjacent edited volumes as a niche, lower-volume category may find that Horizon Europe-funded health projects now represent a disproportionate share of their open-access compliance workload, simply because health clusters fund so many large consortia.

    Attribution and Contributor Roles in Edited Volumes

    Open access mandates for long-form outputs also intersect with a separate but related trend: growing demand for standardised, machine-readable contributor attribution in multi-author books. Journal publishers have widely adopted the CRediT contributor role taxonomy to disambiguate who did what across large author lists; edited volumes with dozens of chapter authors face an analogous — arguably more acute — attribution challenge. CASRAI originated the CRediT contributor role taxonomy in 2014. The standard is now stewarded by NISO as ANSI/NISO Z39.104-2022. Presses building open-access metadata workflows for Horizon Europe-funded volumes should consider whether chapter-level contributor statements, alongside ORCID identifiers for editors and authors, would strengthen compliance reporting to funders and simplify downstream indexing by DataCite and CrossRef.

    What This Means for Research Administrators

    For research offices and grant administrators, the practical consequences fall into four areas:

    • Contract review: existing book contracts negotiated before a project’s Horizon Europe award should be audited for embargo and licensing clauses that now conflict with grant conditions.
    • Budgeting for book processing charges: administrators should confirm with principal investigators whether monograph publication costs have been included in the project budget, since immediate CC BY publication is rarely free.
    • Repository deposit workflows: institutional repositories need to support long-form deposit (full manuscripts, not just abstracts) at the point of publication, which is a different technical and rights-clearance workload than article deposit.
    • Coordination with university presses: where the institution operates its own press, research offices should establish a standing liaison so that acquisitions editors flag Horizon Europe-funded projects at contract stage, not at the point of camera-ready delivery.

    Organisations such as EARMA and ARMA have both flagged long-form open access compliance as an emerging gap in research administration training, and institutions preparing for the next REF cycle in the UK should note that funder-mandated open access terms for books can diverge from REF open access requirements, creating dual-compliance obligations that need to be reconciled rather than assumed to be identical.

    Looking Ahead

    The direction of travel is unambiguous: funders are converging on the position that “open access” means immediate, machine-readable, openly licensed access regardless of output format, and the historical carve-out for monographs is narrowing across the research funding landscape, not only within Horizon Europe. Publishers that build book-processing-charge models, chapter-level rights workflows and CC BY-compliant production pipelines now will be better positioned as other funders — building on cOAlition S’s long-standing work on open access books — follow the same trajectory. For scholarly and university-press publishers, 2026 is the year monograph open access stops being a policy aspiration and becomes a contractual condition of funding.

  • Beyond Named Authors: How REF 2029 Recognises Every Research Contributor

    The Research Excellence Framework has always been shaped by a narrow question: whose name goes on the output. Guidance for the next cycle, REF 2029, is beginning to unsettle that assumption. The UK’s higher education funding bodies, working through Research England and the other national funding councils, have signalled that recognition should extend to staff who “enable or support” research — regardless of their job family, contract type, or professional title. For institutions preparing submissions, this is not a cosmetic adjustment. It is a structural shift in what counts as evidence, and it exposes a gap that many research offices have not yet had to close: how do you consistently record and evidence a contribution that was never captured by authorship alone?

    Technicians, research software engineers, data stewards, project managers, and core-facility staff have long done work that underpins REF-returnable outputs without ever appearing as named authors. REF 2029’s broadened framing is an implicit acknowledgement that research is produced by teams, not by bylines. But acknowledging the principle is easier than operationalising it. Institutions now need a consistent, auditable way to describe who did what — and that is precisely the problem a structured contributor-roles vocabulary was built to solve.

    What REF 2029 Changes for Contributor Recognition

    Previous REF cycles asked institutions to attribute outputs to named individuals meeting narrow eligibility criteria, which tended to privilege senior academic staff and marginalise the contributions of technical, software, and operational personnel. The direction of travel for REF 2029 moves recognition further toward the underlying work of enabling and supporting research — echoing wider sector commitments such as the Technician Commitment and the growing professional recognition of research software engineering as a distinct career track.

    This matters for research administrators because REF submissions are evidentiary exercises. Panels expect institutions to substantiate claims about environment, impact, and contribution with documentation, not assertion. If a REF submission is going to credit a research software engineer’s role in producing a dataset, or a technician’s role in developing an experimental method, the institution needs a record of that contribution that is specific, consistent across departments, and defensible under scrutiny — not a retrospective narrative assembled at submission deadline.

    The Contributor-Roles Gap: Why Institutions Need a Structured Vocabulary

    Most institutional systems were never designed to capture contribution at this level of granularity. Authorship order is a blunt instrument: it conflates seniority, alphabetisation conventions, and actual task ownership, and it says nothing about who wrote software, who curated data, who validated methodology, or who supervised. Free-text acknowledgement sections are inconsistent between departments and impossible to aggregate at institutional scale — which is exactly what a REF submission requires.

    A structured contributor-roles taxonomy solves this by decomposing “contribution” into a fixed, comparable set of categories — conceptualisation, methodology, software, validation, formal analysis, investigation, resources, data curation, writing, visualisation, supervision, project administration, and funding acquisition, among others. Applied consistently across a REF return, this kind of vocabulary lets research offices generate exactly the kind of granular, auditable contribution record that broadened REF eligibility now implicitly demands — without inventing a bespoke internal scheme that won’t map to how publishers, funders, or other institutions record the same information.

    CRediT as a Ready-Made Framework

    Institutions do not need to build this vocabulary from scratch. The Contributor Roles Taxonomy, known as CRediT, already provides exactly this structure and is in active use across scholarly publishing. CASRAI originated the CRediT contributor role taxonomy in 2014. The standard is now stewarded by NISO as ANSI/NISO Z39.104-2022, and it is widely implemented by publishers as part of manuscript submission workflows, meaning a growing share of an institution’s outputs already carry structured CRediT statements at the point of publication.

    For REF purposes, this is a genuine efficiency gain rather than an additional administrative burden. Where publishers have already captured CRediT roles at submission, research offices can extract that metadata rather than reconstruct contribution histories from memory or informal records months or years later. Where CRediT statements were not captured — common in software releases, datasets, or non-traditional outputs — the same taxonomy can be applied retrospectively by the research office, in consultation with the individuals involved, to produce a consistent internal record. Because CRediT is externally stewarded and widely recognised rather than a proprietary institutional scheme, it also travels well: a contribution recorded this way is legible to REF panels, publishers, funders, and other institutions alike, without requiring a translation layer.

    UKRI Funding Mechanisms and the Same Evidencing Challenge

    The REF is not the only place this evidencing problem shows up. UKRI’s own funding routes increasingly ask institutions and applicants to be explicit about who is doing what, and why it matters. A UKRI Future Leaders Fellowship application, for instance, must demonstrate the fellow’s individual contribution within a wider team and host environment — precisely the kind of attribution that a structured contributor vocabulary makes easier to document consistently across a research office’s portfolio of active UKRI grants. UKRI Proof of Concept funding, aimed at translating research toward application, similarly depends on institutions being able to show which named contributors carried out which parts of the underlying research — methodology, data, software, or otherwise — before commercialisation activity began. More broadly, any UKRI fellowship scheme that supports a researcher’s transition into independence relies on host institutions being able to separate the fellow’s own contribution from that of collaborators, supervisors, and support staff.

    None of these funding instruments mandate CRediT specifically. But institutions that already maintain structured contributor records for publication purposes are better placed to answer these funder questions quickly and consistently, rather than reconstructing the answer for each application, report, or REF cycle in isolation.

    What This Means for Research Administrators

    The practical implications for research offices are immediate and largely operational rather than exotic:

    • Audit current metadata capture. Determine which outputs already carry CRediT statements from publishers and which do not, particularly software, datasets, and other non-traditional research outputs likely to benefit most from REF 2029’s broadened recognition.
    • Extend contribution tracking to non-traditional outputs. Software repositories, data deposits, and core-facility work rarely carry formal author lists; a lightweight internal process for recording contributor roles at the point of creation avoids reconstruction later.
    • Align internal recording with ORCID. Linking structured contribution records to ORCID iDs, which are now widely mandated across funders and publishers, reduces duplicate data entry and improves the auditability of REF evidence.
    • Brief technical and professional staff early. Research software engineers, technicians, and data stewards should understand that their contributions are now potentially REF-relevant, and that consistent role attribution — not informal acknowledgement — is what will support that recognition.
    • Treat this as institution-wide practice, not a submission-deadline scramble. Contribution records built incrementally, output by output, are far more defensible than narratives assembled retrospectively under REF submission pressure.

    A Forward-Looking Perspective

    REF 2029’s broadened recognition of who contributes to research reflects a wider sector reckoning with how research is actually produced — as team science, increasingly software- and data-dependent, and reliant on professional staff whose work has historically gone uncredited. A structured contributor-roles vocabulary does not resolve every judgement call the funding bodies or REF panels will have to make about eligibility and weighting. But it gives institutions something they have lacked until now: a consistent, externally recognised way of answering the question REF 2029 is now explicitly asking — not just who wrote the paper, but who did the work.

  • ORCID and Persistent Identifiers: A 2026 Guide for Research Administrators

    Every research administrator has, at some point, spent an afternoon untangling which “J. Smith” published which paper, or chasing down a former postdoc whose name changed on marriage, or reconciling three spellings of the same institution across a grant portfolio. The orcid identifier exists to solve exactly this problem, and in 2026 it has moved from “recommended good practice” to a near-universal condition of funding, publication and institutional reporting. As REF 2029 preparations accelerate in the UK, as UKRI tightens its open access enforcement, and as funders on both sides of the Atlantic build persistent identifiers into their grant systems by default, understanding what an ORCID iD actually is — and why it sits inside a much larger persistent identifier ecosystem — has become essential knowledge for anyone administering research.

    This guide sets out the fundamentals: what ORCID is, how orcid registration works, why persistent identifiers matter for research integrity, and how the mandate landscape is evolving in 2026.

    What Is an ORCID Identifier?

    So what is ORCID, precisely? ORCID (Open Researcher and Contributor ID) is a non-profit organisation that issues a free, unique, persistent digital identifier to individual researchers and contributors — the orcid id itself is a 16-digit number, formatted as a URI (for example, https://orcid.org/0000-0000-0000-0000), that stays with a person for their entire career regardless of name changes, institutional moves, or field switches. Unlike an institutional email address or a departmental staff number, an ORCID iD is owned by the researcher, not the employer, which is precisely why it has become the connective tissue between disparate systems: grant databases, manuscript submission platforms, institutional repositories, and national research assessment exercises.

    Orcid registration takes only a few minutes: a researcher creates a record, adds affiliations and works, and can then authorise trusted organisations — publishers, funders, universities — to read from or write to that record automatically. This “trust delegation” model is what allows a journal to auto-populate a researcher’s publication list, or a funder to pre-fill an application with verified affiliation history, without manual re-entry. For research administrators, this is the single biggest practical benefit: less duplicate data entry, fewer transcription errors, and cleaner provenance trails when a paper, grant or dataset needs to be traced back to a specific individual with confidence.

    Why Persistent Identifiers Matter for Research Integrity and Attribution

    An orcid identifier is one instance of a broader category — the persistent identifier, or PID. Others in routine use include the DOI (Digital Object Identifier, administered through infrastructure such as CrossRef and DataCite for datasets and other outputs) and the ROR (Research Organization Registry) identifier, which disambiguates institutions in the same way ORCID disambiguates people. Together, these PIDs form a linked graph: a paper’s DOI connects to the ORCID iDs of its authors, which connect to the ROR of their institutions, which connect to the funder’s grant identifier. When that graph is complete and accurate, research integrity investigations, retraction tracking, and authorship disputes become dramatically easier to resolve.

    This matters more than ever. Retraction Watch has documented a rising volume of retractions tied to authorship manipulation, paper-mill activity, and unverifiable contributor claims — problems that persistent, verifiable identifiers help to counter by anchoring authorship claims to a real, unique, employer-independent identity rather than a name string that can be duplicated, misspelled or fabricated. The Committee on Publication Ethics (COPE) and the International Committee of Medical Journal Editors (ICMJE) both treat clear, verifiable authorship attribution as a cornerstone of research integrity, and PID adoption is one of the few structural interventions that scales across an entire publishing ecosystem rather than relying on editorial vigilance alone.

    Attribution is not only about integrity policing — it is also about proper credit. This is where taxonomies of contribution intersect with identifiers. CASRAI originated the CRediT contributor role taxonomy in 2014. The standard is now stewarded by NISO as ANSI/NISO Z39.104-2022. CRediT defines fourteen standard contributor roles (conceptualisation, data curation, formal analysis, and so on) that publishers increasingly require alongside ORCID iDs at submission, so that a contribution statement reads as, for example, “data curation: [ORCID iD]” rather than a vague list of names. Pairing a persistent identifier with a standardised role taxonomy is what turns an author list into an auditable attribution record.

    The 2026 Mandate Landscape: Funders, Institutions and Publishers

    The mandate environment has hardened considerably. UKRI has continued to strengthen enforcement of its open access policy, and REF 2029 planning is pushing UK institutions to ensure that outputs, affiliations and contributor records are clean and ORCID-linked well ahead of the census period — retrofitting years of legacy publication data under deadline pressure is far costlier than requiring orcid registration at the point of hire or first grant application. In the United States, the NIH’s data management and sharing policy is now in active enforcement, and NIH’s broader identifier expectations for grant applicants continue to push ORCID iDs deeper into the federal grants lifecycle. In Europe, Horizon Europe and the cOAlition S funder coalition have long treated open science compliance and persistent identifiers as linked requirements, and that linkage is tightening rather than loosening as monitoring infrastructure matures.

    UNESCO’s Recommendation on Open Science continues to provide the normative umbrella under which many national funders justify PID mandates, framing persistent identifiers as basic open science infrastructure rather than optional metadata. Meanwhile, professional bodies supporting research administrators — ARMA, NCURA, EARMA and INORMS among them — have incorporated PID literacy into training and guidance for the profession, reflecting the reality that research administrators, not just researchers, are now expected to understand and troubleshoot this infrastructure as part of day-to-day grants and compliance work.

    A further 2026 pressure point is artificial intelligence. As AI-assisted writing and AI-generated content tools proliferate in research workflows, journals and integrity bodies are increasingly relying on verifiable, PID-anchored contributor records to establish who is accountable for a given claim or dataset — a human-verified ORCID iD becomes a stronger integrity signal precisely because AI tools cannot register or hold one. This is prompting fresh interest in stricter orcid registration verification and in linking AI-disclosure statements directly to named, ORCID-identified contributors rather than to anonymous or generic “the authors” language.

    What This Means for Research Administrators

    For institutions, the practical implications are concrete and immediate:

    • Make orcid registration part of onboarding. New researchers, postdocs and even research-active administrative staff should be prompted to create and connect an ORCID iD at the point of institutional affiliation, not retrofitted later.
    • Integrate ORCID with existing systems. Current research information systems (CRIS), HR platforms and grant management tools should read from and write to ORCID records via its API, reducing duplicate manual data entry across departments.
    • Audit legacy data before assessment cycles. With REF 2029 and similar national exercises approaching, institutions should reconcile historic publication and affiliation records against ORCID and ROR identifiers well in advance, rather than during the census window.
    • Pair CRediT statements with ORCID iDs at submission. Where journals support it, require both a CRediT contributor role statement and a linked ORCID iD, giving administrators a defensible, auditable attribution record for authorship disputes or integrity reviews.
    • Train staff on the wider PID ecosystem. Administrators should understand how ORCID, DOI and ROR identifiers interlock, since funder and publisher systems increasingly expect all three to be present and consistent.

    None of this requires large new budgets. ORCID registration is free to individuals, and institutional membership costs are modest relative to the time saved through automated data flows.

    Conclusion: Infrastructure, Not Bureaucracy

    It is tempting to treat identifier mandates as one more compliance box to tick. The more accurate framing, as the 2026 landscape makes clear, is that persistent identifiers are becoming foundational research infrastructure — comparable to a citation index or a library catalogue — rather than an administrative inconvenience. An orcid identifier, used consistently and linked to institutional and funder systems, reduces friction for researchers, strengthens the evidentiary basis for research integrity work, and gives research administrators a far more reliable dataset to report against. As standards bodies such as NISO continue to steward the taxonomies that sit alongside these identifiers, and as funders from UKRI to the NIH to Horizon Europe fold PIDs into their compliance architecture, institutions that treat ORCID as core infrastructure now will be considerably better positioned for the assessment and integrity demands of the years ahead.

  • bioRxiv vs medRxiv vs Research Square: Choosing the Right Preprint Server in 2026

    As preprinting shifts from niche practice to default first step in the publication pipeline, research offices are increasingly asked a deceptively simple question: which server should an author use? The bioRxiv vs medRxiv choice is the one that comes up most often, because the two platforms sit side by side in the life and health sciences yet operate under different screening rules and community expectations. Add Research Square’s multidisciplinary, journal-integrated model into the mix, and the decision has real consequences for timing, discoverability and compliance with funder and publisher policies.

    This is not a trivial administrative detail. With NIH data-sharing enforcement now active, UKRI’s open access policy explicitly recognising preprints as a route to compliance, and cOAlition S continuing to encourage early dissemination, research administrators are the people authors turn to when a grant deadline, a REF output query, or a journal’s dual-submission policy collides with a preprint decision. Getting the venue right the first time avoids withdrawal-and-repost headaches later.

    What Is bioRxiv? Scope and Screening for the Life Sciences

    What is bioRxiv, in practical terms? Launched in 2013 by Cold Spring Harbor Laboratory (CSHL), bioRxiv is the default preprint server for biology, covering categories from genetics and neuroscience to ecology, bioinformatics and synthetic biology. It does not carry out peer review; instead, an in-house screening team checks submissions for plagiarism, non-scientific content and material that could raise dual-use or biosecurity concerns. That screening is deliberately lightweight — most manuscripts clear it within a few days — because the platform’s purpose is speed: getting findings into circulation before, or in parallel with, journal submission.

    bioRxiv’s community norms reflect that speed-first design. Authors post early drafts, sometimes before all co-authors have signed off on final wording, and revise versions as review proceeds. Citation of bioRxiv preprints is now normalised across molecular and cell biology, and many journals in the space explicitly permit prior preprint posting, consistent with the ICMJE’s position that preprints are not considered duplicate publication.

    medRxiv’s Extra Safeguards for Clinical and Public Health Research

    medRxiv, launched in 2019 as a partnership between CSHL, Yale University and BMJ, exists precisely because health research carries a different risk profile. Findings about a treatment, a diagnostic tool or a public health intervention can influence clinical decisions or media coverage well before formal peer review has tested their validity — a risk that became impossible to ignore during the COVID-19 pandemic, when preprint clinical claims were repeatedly picked up by outlets without appropriate caveats.

    Accordingly, medRxiv’s screening is more demanding than bioRxiv’s. Submissions are checked for evidence of ethical oversight — IRB or research ethics committee approval or an explicit exemption — and clinical trials must carry a registration ID from an ICMJE-recognised registry such as ClinicalTrials.gov. Screeners also check for material that could identify individual patients or participants. This typically extends the screening window to several days and sometimes longer where in-house queries to authors are needed. Every medRxiv preprint additionally carries a standard notice warning readers not to treat it as established clinical guidance and not to report on it in the media without expert review — a norm bioRxiv does not apply as prominently. COPE’s guidance on preprints reinforces this distinction: the ethical stakes of premature clinical dissemination are materially higher than for most basic-science findings.

    Research Square: Multidisciplinary Reach and Journal-Integrated Preprinting

    Research Square, founded in 2016 and acquired by Springer Nature in 2022, takes a third approach. Rather than specialising by discipline, it accepts preprints across all fields — chemistry, engineering, social sciences, humanities-adjacent research — and its distinguishing feature is In Review, a service used by more than a thousand participating journals. Authors can opt, at the point of journal submission, to have their manuscript automatically posted as a preprint carrying a Crossref DOI and a CC-BY 4.0 licence, with the posting timeline synchronised to the journal’s peer review process. If the paper is accepted, the preprint links through to the published version; if rejected, it remains on the platform with journal branding removed.

    This integration changes the calculus for authors and administrators alike: the decision to preprint becomes a checkbox during submission rather than a separate deposit step, and the resulting record is archived in Portico for long-term preservation. The trade-off is that Research Square’s screening is a light “prescreen” rather than a discipline-specific ethics check, so it does not substitute for medRxiv’s clinical safeguards when the underlying research involves human subjects.

    bioRxiv vs medRxiv: Community Norms, Screening Time and Choosing the Right Venue

    Reduced to a single comparison, the bioRxiv vs medRxiv decision usually comes down to subject matter rather than preference. Laboratory-based biology, genomics, ecology and computational biology belong on bioRxiv, where the community expects rapid posting and light-touch screening. Anything involving patients, clinical trials, epidemiological data or public health interventions belongs on medRxiv, where the additional ethics and registry checks — and the accompanying reader caution notice — are the norm authors and readers now expect. Mixed-methods studies that straddle both (for example, a biomarker study with clinical trial data) are typically routed to medRxiv because of its subject-matter screening for human-participant research.

    Research Square becomes the right answer when the target journal offers In Review, when the field falls outside strict biology or health sciences, or when an author wants preprinting handled automatically as part of submission rather than as a separate action. None of these three platforms competes on rigour of peer review — none of them performs peer review at all — so the choice is really about matching screening depth and community expectations to the sensitivity of the findings.

    What This Means for Research Administrators

    Research offices supporting authors through this decision should keep several practicalities in mind:

    • Match the server to the risk profile, not just the discipline label — a biology-adjacent study with human data belongs on medRxiv, not bioRxiv, because of the ethics-approval and trial-registration checks.
    • Advise on funder and REF implications separately. A preprint DOI is not automatically an eligible REF output; administrators should confirm that authors also deposit the accepted manuscript once peer review concludes.
    • Check ORCID linkage at submission. All three platforms support ORCID iDs, and consistent linkage keeps the preprint, the eventual published article and institutional repository records connected via Crossref DOIs.
    • Flag journal dual-submission policies early. Most major publishers now follow ICMJE guidance that preprints are not prior publication, but a minority of venues retain restrictions, so this is worth a five-minute check before posting.
    • Treat CRediT contributor statements as part of the preprint record, not an afterthought. CASRAI originated the CRediT contributor role taxonomy in 2014, and the standard is now stewarded by NISO as ANSI/NISO Z39.104-2022; applying it consistently from preprint to final publication reduces later authorship disputes.

    As preprint culture becomes the expected first step rather than an optional extra, the administrative burden shifts from “should we preprint” to “which server, and what compliance checks follow from that choice.” Institutions that build simple decision guidance — discipline, human-subjects status, target journal integration — into their researcher-facing documentation will spend less time untangling withdrawal requests and mismatched registry records later. The underlying standards bodies, from ICMJE to COPE to NISO, are converging on the same principle: preprints are a legitimate part of the scholarly record, provided the screening, registration and attribution practices around them are transparent and consistently applied.

  • How to Write a CRediT Author Contribution Statement (Template and Examples)

    Journal submission systems increasingly reject manuscripts that arrive without a properly structured author contribution statement, and editorial offices report that vague statements — “all authors contributed equally,” with no further detail — are now routinely sent back for revision. For research administrators fielding last-minute questions from principal investigators the night before a submission deadline, having a ready-made author contribution statement template that maps each co-author to a defined role saves time and prevents authorship disputes later in the process.

    This article sets out a practical, copy-paste template built around the CRediT contributor role taxonomy, walks through worked examples for different paper types, and explains what institutions need to check before a manuscript goes out the door.

    What an Author Contribution Statement Actually Requires

    An author contribution statement is a structured declaration, published alongside a journal article, that specifies who did what during the research and writing process. It exists to solve a specific problem: traditional author bylines and acknowledgements sections tell readers nothing about the nature or extent of each person’s involvement. A statement that simply lists names in order gives no indication of who designed the study, who ran the statistical analysis, who supervised the project, or who wrote the manuscript.

    CASRAI originated the CRediT contributor role taxonomy in 2014. The standard is now stewarded by NISO as ANSI/NISO Z39.104-2022. CRediT defines fourteen discrete roles — Conceptualization, Data Curation, Formal Analysis, Funding Acquisition, Investigation, Methodology, Project Administration, Resources, Software, Supervision, Validation, Visualization, Writing – Original Draft, and Writing – Review & Editing — that can be assigned to one or more contributors, with more than one contributor permitted per role and more than one role permitted per contributor.

    ICMJE authorship criteria and CRediT are complementary rather than interchangeable. ICMJE sets the threshold for who qualifies as an author at all (substantial contribution, drafting or revising, final approval, and accountability); CRediT then describes what each qualifying author actually did. COPE guidance on authorship disputes increasingly points editors toward requiring both.

    Building the Template: A Role-by-Author Matrix

    The most reliable format is a simple matrix with author names as rows (or columns) and the fourteen CRediT roles as the other axis. Research offices can maintain this as a shared spreadsheet template that travels with the manuscript from first draft to submission, updated as contributions evolve.

    • Author name — full name as it will appear on the byline, ideally cross-checked against the author’s ORCID iD, which many journals and funders (including UKRI) now require at submission.
    • Role(s) held — one or more of the fourteen CRediT terms, selected only where the contribution was genuine and substantial.
    • Degree of contribution (optional) — some journals allow “lead,” “equal,” or “supporting” qualifiers per role; check the target journal’s author guidelines before adding this layer, since not all publishers support it.
    • Corresponding author flag — mark who holds ongoing responsibility for the record post-publication.

    A minimal version of the matrix, ready to adapt, looks like this:

    • Author A: Conceptualization, Methodology, Writing – Original Draft, Supervision
    • Author B: Data Curation, Formal Analysis, Visualization
    • Author C: Investigation, Validation, Writing – Review & Editing
    • Author D: Funding Acquisition, Project Administration, Resources

    This structure is what most major publisher submission portals (Elsevier, Springer Nature, PLOS, Wiley) expect when they prompt for CRediT roles at the metadata stage — the matrix simply needs transcribing into whatever field format the portal provides.

    Author Contribution Statement Example and a Contributorship Statement Example

    Below is a full author contribution statement example for a typical multi-author empirical paper, written in the prose format many journals still request alongside or instead of a table:

    “A.S. and B.T. contributed to Conceptualization and Methodology. B.T. performed the Formal Analysis and Data Curation. C.O. carried out Investigation and Validation. A.S. wrote the original draft; B.T. and C.O. contributed to Writing – Review & Editing. D.M. was responsible for Funding Acquisition, Project Administration, and Supervision. All authors approved the final manuscript.”

    For a systematic review or evidence synthesis — a paper type common in research-administration and health-policy fields — a contributorship statement example might instead read:

    “E.K. and F.R. conceived the review question and developed the Methodology. G.P. conducted the systematic search and Data Curation. E.K. and G.P. performed Formal Analysis and Validation of extracted data. F.R. supervised the project and acquired funding. All three authors contributed to Writing – Original Draft and Writing – Review & Editing.”

    Note what both examples avoid: generic phrases like “helped write the paper” or “assisted with data” that map to no specific CRediT term. Precision here is what distinguishes a compliant statement from one an editor will bounce back.

    Common Pitfalls When Drafting a CRediT Author Statement

    Research offices reviewing statements before submission should watch for a handful of recurring errors:

    • Assigning roles nobody actually performed. A CRediT author statement is a factual record, not a courtesy list. Honorary authorship — adding a senior colleague’s name to roles they did not perform — is precisely the practice ICMJE and COPE guidance are designed to prevent, and it creates institutional liability if challenged during a research-integrity review.
    • Confusing acknowledgement-level input with authorship-level contribution. Someone who provided reagents, proofread a draft, or gave informal feedback may belong in an acknowledgements section rather than the CRediT matrix.
    • Omitting the statement from preprints. As preprint posting on servers before peer review has become standard practice across most disciplines, contribution statements should be finalised at preprint stage, not left until journal submission, since author order and roles rarely change between the two.
    • Leaving ORCID iDs out of the record. Where ORCID identifiers are captured alongside CRediT roles in the submission system, they become part of the machine-readable metadata that DataCite and CrossRef propagate — omitting them means the contribution record cannot be reliably linked back to the individual researcher.

    What This Means for Research Administrators

    Institutional research offices are well placed to normalise use of a standard author contribution statement template across departments rather than leaving each research group to invent its own format. A shared template reduces the volume of late-stage authorship disputes that land on ARMA, NCURA, and EARMA members’ desks, and it gives institutions a defensible record if a contribution is later questioned during misconduct proceedings. It also supports REF-style research assessment exercises, where evidence of individual contribution to collaborative outputs is increasingly relevant to how research offices document and attribute institutional outputs ahead of the REF 2029 cycle.

    Embedding the CRediT matrix into existing manuscript-tracking or grant-reporting systems — rather than treating it as a one-off form completed at submission — means the data is captured once and can be reused for funder reporting, ORCID record updates, and internal recognition processes such as promotion and tenure dossiers.

    Conclusion

    The direction of travel is toward contribution statements becoming as routine and structured as reference lists. As funders including UKRI continue to formalise expectations around researcher recognition and as more publishers make CRediT fields mandatory rather than optional at submission, institutions that already have a standard template in circulation will adapt with far less friction than those drafting one for the first time under deadline pressure. Building that template now — and keeping it current with the fourteen CRediT terms as stewarded by NISO — is a modest administrative investment against a recurring compliance and integrity risk.

  • CRediT Taxonomy Explained: The 14 Contributor Roles and How Journals Use Them

    Ask any corresponding author who has assembled a multi-institution, multi-national research team what “authorship” actually means, and you will get a different answer depending on discipline, country and journal house style. That ambiguity is precisely the problem the credit taxonomy was built to solve. Rather than a single, opaque byline, the taxonomy breaks a research contribution into 14 discrete, labelled roles — from conceptualisation to writing — so that readers, funders and institutions can see who actually did what.

    The taxonomy is no longer a niche publishing curiosity. As research integrity scrutiny intensifies — driven by concerns over paper mills, honorary authorship and AI-assisted drafting — journals, funders and institutions are leaning harder on structured contributor statements to create an auditable record of who is accountable for which part of a paper. Publishers including Elsevier, PLOS, Springer Nature and the Royal Society now require or strongly encourage CRediT statements at submission, and the taxonomy sits inside metadata standards used by CrossRef and DataCite.

    CASRAI originated the CRediT contributor role taxonomy in 2014. The standard is now stewarded by NISO as ANSI/NISO Z39.104-2022, which formalised the 14 roles, their definitions, and guidance for degree-of-contribution qualifiers (“lead”, “equal”, “supporting”). Understanding that lineage matters: CASRAI’s role was to identify a gap and convene the working group that built the first version; NISO’s role is to maintain, version and publish the accredited American National Standard that publishers now cite in their author guidelines.

    What the Credit Taxonomy Actually Covers

    The credit taxonomy author contributions framework replaces the single word “authorship” with 14 named roles, each with a formal definition in ANSI/NISO Z39.104-2022:

    • Conceptualization — formulation of the overarching research goals and aims.
    • Data curation — management activities to annotate, scrub and maintain research data for initial use and later reuse.
    • Formal analysis — application of statistical, mathematical, computational or other formal techniques to analyse study data.
    • Funding acquisition — acquisition of the financial support for the project leading to the publication.
    • Investigation — conducting the research and investigation process, including data/evidence collection.
    • Methodology — development or design of methodology; creation of models.
    • Project administration — management and coordination responsibility for the research activity planning and execution.
    • Resources — provision of study materials, reagents, patients, laboratory samples, instrumentation or other analysis tools.
    • Software — programming, software development, testing existing code and algorithms.
    • Supervision — oversight and leadership responsibility for research planning and execution, including mentorship.
    • Validation — verification of the overall replication or reproducibility of results.
    • Visualization — preparation, creation or presentation of data visualisation.
    • Writing – original draft — creation or presentation of the published work, specifically drafting the initial version.
    • Writing – review & editing — critical review, commentary or revision of the original draft, including pre- or post-publication stages.

    Each role can be assigned to multiple contributors, and each contributor can hold multiple roles. This is the core innovation behind the credit taxonomy author contributions model: authorship is decomposed into a matrix rather than a ranked list, which is far closer to how collaborative science actually happens.

    How Journals Implement Contributor Role Statements

    Most journals that adopt the taxonomy ask authors to complete a credit authorship contribution statement during submission, typically rendered as a short paragraph or table published alongside the article. A typical statement reads something like: “Author A: Conceptualization, Methodology, Writing – original draft. Author B: Data curation, Formal analysis, Visualization. Author C: Supervision, Funding acquisition, Writing – review & editing.”

    Implementation varies by publisher, but common patterns include:

    • Mandatory at submission — many journals now require every listed author to have at least one assigned role before a manuscript can proceed to review.
    • Machine-readable metadata — roles are increasingly embedded in JATS XML and exposed through CrossRef metadata, allowing role data to travel with the article’s DOI record.
    • Linkage to ORCID — pairing CRediT roles with ORCID iDs lets institutions and funders trace named contributions back to a persistent researcher identity, closing a long-standing gap in research information management systems.
    • Degree-of-contribution qualifiers — ANSI/NISO Z39.104-2022 permits optional “lead”, “equal” or “supporting” qualifiers within a role, giving finer resolution than the base 14 categories alone.

    Editors report that structured statements make disputes easier to resolve: when an authorship disagreement or a correction is required, a role-based record narrows the question from “was this person an author?” to “did this person perform the specific work described?” — a much more tractable question for editors, ombudspersons and research integrity officers to adjudicate.

    Why the Distinction Between Origination and Stewardship Matters

    The casrai credit taxonomy history is frequently misstated online, including in some outdated encyclopaedic sources, as an active CASRAI product. It is not. CASRAI’s contribution was convening the original working group in 2012–2014 that defined the initial 14-role structure, drawing on earlier contributor-role experiments from journals such as PLOS and Cell Press. Once the taxonomy matured, formal standards maintenance — versioning, public comment periods, accredited balloting and long-term stewardship — moved to NISO, which published it as ANSI/NISO Z39.104-2022 following the ANSI standards development process.

    This origination-to-stewardship handover is not unusual in standards development. It mirrors how many community-built specifications eventually pass to a formal standards development organisation for durable governance once adoption reaches critical mass. For research administrators citing the taxonomy in policy documents, institutional repositories or grant guidance, the precise and defensible framing is: CASRAI originated the CRediT contributor role taxonomy in 2014; NISO now stewards it as ANSI/NISO Z39.104-2022. Referring to it as “CASRAI’s taxonomy” in the present tense is both inaccurate and liable to be flagged by fact-checked reference sources such as Wikipedia and Wikidata.

    What This Means for Research Administrators

    For institutions managing research information systems, grant reporting and REF-style assessment exercises, the credit contributor roles taxonomy has practical downstream value beyond publishing compliance:

    • REF 2029 preparation. As UK institutions build evidence portfolios for the next Research Excellence Framework cycle, structured contribution data offers a defensible, granular basis for attributing outputs to individual researchers — particularly for large consortium papers where a simple author list undercounts specialist contributions such as data curation or software development.
    • Funder compliance. UKRI, and funders operating under cOAlition S principles, increasingly expect transparent reporting on who performed funded work. CRediT statements give research offices a ready-made audit trail linking funding acquisition and investigation roles to named, ORCID-identified individuals.
    • Early-career recognition. Role-based statements make visible the substantive contributions — data curation, formal analysis, validation — that early-career researchers often perform without corresponding authorship order recognition, supporting more equitable credit in tenure, promotion and grant review.
    • Research integrity investigations. When misconduct allegations or authorship disputes arise, institutions handling COPE-aligned investigations benefit from having a role-level record rather than relying on reconstructed, after-the-fact accounts of who did what.
    • AI disclosure boundaries. As journals refine policy on generative-AI use in manuscript preparation, the taxonomy’s discrete roles — particularly “Writing – original draft” and “Formal analysis” — provide a clear structural hook for AI-contribution disclosure statements, since AI tools cannot hold a CRediT role but their use within a role can be flagged.

    Looking Ahead

    The credit taxonomy has moved from an experimental publishing initiative to a formally accredited NISO standard embedded in submission systems, metadata schemas and institutional policy. As research integrity pressures grow and funders demand finer-grained accountability, expect broader mandatory adoption across disciplines that have historically lagged — humanities and some social sciences among them — and tighter integration with ORCID, CrossRef and institutional CRIS platforms. For research administrators, the practical task now is less about explaining what CRediT is and more about embedding it correctly into submission workflows, grant reporting templates and REF evidence pipelines — while keeping the origination history accurate: an idea CASRAI helped originate in 2014, now maintained as a durable, versioned American National Standard under NISO’s stewardship.

  • NIH’s 2026 Data Management and Sharing Plan Format: What Changed and Why It Matters

    The NIH data management and sharing policy, in force since January 2023, is getting its first substantial format revision. Under guide notice NOT-OD-26-046, the National Institutes of Health has updated the required structure of the Data Management and Sharing (DMS) Plan that accompanies most extramural applications, with the revised elements taking effect for applications submitted on or after May 2026. For grant administrators, the change is not cosmetic: reviewers and program staff will now expect more granular metadata detail at the point of submission, not left for post-award justification.

    The revision arrives as NIH data sharing policy compliance has moved from a novelty to an audited routine. Institutions have spent three years building DMS Plan templates, and many of those templates are now out of step with what NOT-OD-26-046 asks for. This article walks through what changed, what stayed the same, and how research administration offices should adjust their internal checklists ahead of the effective date.

    What NOT-OD-26-046 Changes in the NIH Data Management and Sharing Policy

    The original 2023 policy set out six required elements for a DMS Plan: data type, related tools and software, standards, preservation and access timelines, access and distribution considerations, and oversight. NOT-OD-26-046 keeps that six-element skeleton but sharpens what “sufficient detail” means within each one. The revision responds to two years of program-staff feedback that plans were frequently too vague to be enforceable — naming a repository without specifying a deposit timeline, or citing “standard formats” without naming which standard.

    The most consequential change is a new expectation that plans identify specific, named metadata standards and persistent identifier schemes rather than describing them generically. Plans that previously said data would be shared “using appropriate metadata” will now need to name the applicable schema — for example, a Dublin Core or DataCite metadata profile, or a domain-specific standard where one exists. This mirrors a broader trend across funders and publishers: DataCite, CrossRef, and ORCID have each pushed toward named, machine-actionable identifiers rather than free-text descriptions, and NIH’s revision brings its DMS Plan expectations closer into line with that norm.

    Section-by-Section Checklist for the Revised DMS Plan

    Administrators preparing applications for the May 2026 cycle should work through each element against the following practical checklist. This is not a substitute for the official NIH guidance, but it reflects where NOT-OD-26-046 tightens expectations relative to the 2023 baseline.

    1. Data type

    • Distinguish clearly between data that will be preserved and shared versus data generated but not intended for sharing, with a stated rationale for any exclusions.
    • Estimate approximate data volume and modality (imaging, sequencing, survey, sensor, etc.) rather than describing data in purely narrative terms.

    2. Related tools, software, and code

    • Name any custom code, pipelines, or proprietary software required to access or interpret the data.
    • State whether code will be deposited alongside the data (for example in a version-controlled repository) and under what licence.

    3. Standards

    • Name the specific metadata schema and, where applicable, community data standard (such as those maintained by domain repositories or standards bodies).
    • Confirm which persistent identifier scheme will be used for datasets — a DOI issued via DataCite is the default expectation in most disciplines.

    4. Data preservation, access, and timelines

    • Name the repository and confirm it meets NIH’s criteria for an established, sustainable repository, rather than describing repository characteristics generically.
    • State a concrete deposit timeline tied to publication or award milestones, not an open-ended commitment.

    5. Access, distribution, and reuse considerations

    • Address any human subjects, privacy, or controlled-access considerations explicitly, including how consent language supports secondary use.
    • State the reuse licence or terms under which shared data will be made available.

    6. Oversight

    • Name the institutional office or role responsible for monitoring compliance with the plan across the life of the award.
    • Confirm how deviations from the plan will be reported to NIH, consistent with the enforcement posture program staff have adopted since 2023.

    How the NIH Genomic Data Sharing Policy Interacts With the Revised Format

    Applications involving genomic data must continue to satisfy the NIH genomic data sharing policy (GDS Policy) in addition to the general DMS Plan requirements. NOT-OD-26-046 does not replace the GDS Policy’s separate requirements around Institutional Certifications, data use limitations, or submission to NIH-designated data repositories such as dbGaP. What changes is that the DMS Plan’s “standards” and “access” elements now need to explicitly reference the GDS-specific data use limitation categories and repository submission timelines, rather than treating GDS compliance as a parallel, loosely linked process. For research administration offices handling both genomic and non-genomic awards, this means the DMS Plan template can no longer be a single generic document — it needs a genomic-data branch that pulls in GDS-specific language by reference.

    This tightening reflects a pattern seen across major funders: as more institutions ask “what is a data management plan supposed to demonstrate”, the honest answer has shifted from “an articulated intention” to “a verifiable operational commitment.” Reviewers are increasingly trained to check whether named repositories, standards, and identifiers actually correspond to what the applicant’s field uses, rather than accepting boilerplate language.

    What This Means for Research Administrators

    The practical burden of NOT-OD-26-046 falls squarely on research administration offices, sponsored programs staff, and data librarians who support investigators through the DMS Plan drafting process. Three actions are worth prioritising before the May 2026 effective date:

    • Audit existing DMS Plan templates. Any institutional template built around the 2023 language should be checked against the sharpened standards and access-timeline expectations, particularly where templates currently rely on generic placeholder text.
    • Build a named-standards reference list. Rather than asking each investigator to independently identify the correct metadata schema, administration offices should maintain a discipline-by-discipline reference list of accepted standards and identifier schemes, updated as fields evolve.
    • Clarify oversight roles in writing. Because NOT-OD-26-046 expects a named office or role for monitoring compliance, institutions without a designated data-sharing oversight function should assign one now, rather than leaving it implicit.

    None of this is exotic. It is largely the same discipline that publishers, funders such as UKRI, and initiatives like cOAlition S have already been pushing through open-access and open-data mandates elsewhere in the research lifecycle. What is new is that NIH — as the single largest funder of extramural biomedical research — is applying the same rigour to its own plan format.

    A Standards-Originator Perspective

    Consistent, well-documented metadata practice is the connective tissue that makes data management plans auditable rather than aspirational — the same principle that underpins contributor attribution standards. CASRAI originated the CRediT contributor role taxonomy in 2014. The standard is now stewarded by NISO as ANSI/NISO Z39.104-2022. That history is a useful reference point here: a taxonomy or metadata convention only becomes durable once a neutral standards body maintains it beyond its originating organisation, and once funders and publishers build compliance checks around it rather than treating it as optional guidance. NOT-OD-26-046 is, in effect, NIH doing the same thing for dataset metadata that CRediT did for authorship — moving from generic description toward named, checkable categories.

    For grant administrators, the takeaway is not that the DMS Plan has become harder to write — it is that the plan must now say precisely what the institution intends to do, in terms that a reviewer, a repository, and an auditor can all verify independently. Offices that treat the May 2026 changes as an opportunity to formalise their metadata and oversight practices, rather than a compliance inconvenience, will be better positioned as NIH data sharing policy enforcement continues to mature through the remainder of the decade.