CASRAI Dictionary

Tag: causes of research misconduct

  • Research Misconduct vs Misbehaviour: FFP vs QRPs

    Research misconduct is a narrow, formally sanctionable transgression — fabrication, falsification, or plagiarism (FFP) committed intentionally, knowingly, or recklessly — while research misbehaviour is the much broader, informally policed category of questionable research practices (QRPs) that fall short of that threshold but still corrode trust in the research record. Confusing the two matters: one triggers a formal investigation and possible dismissal or retraction; the other typically triggers correction, training, or an editorial note.

    This distinction between research misbehavior and research misconduct is not academic hair-splitting. Regulators, universities, funders, and journal editors all apply a threshold test before they open a formal case, and where that line sits differs by jurisdiction. Research misconduct is fabrication, falsification, or plagiarism in proposing, performing, reviewing, or reporting research, committed with intent, knowledge, or recklessness — a definition codified in the United States under 42 CFR Part 93 and echoed, with local variation, across UK, European, and international frameworks.

    What is research misconduct? The formal FFP test

    Research misconduct has a narrow, legalistic definition. In the United States, the Office of Research Integrity (ORI) — part of the Department of Health and Human Services — defines it under 42 CFR Part 93 as fabrication, falsification, or plagiarism in proposing, performing, or reviewing research, or in reporting research results. Each term is precisely scoped: fabrication is making up data or results and recording or reporting them; falsification is manipulating research materials, equipment, or processes, or changing or omitting data so the research record is misrepresented; plagiarism is appropriating another person’s ideas, processes, results, or words without appropriate credit.

    Crucially, ORI’s definition explicitly excludes honest error or genuine differences of opinion. A finding of misconduct also requires that the act was committed intentionally, knowingly, or recklessly — not through a documented, defensible mistake. This intent threshold is what separates misconduct from misbehaviour, and it is the single fact most competitor explainers state without ever mapping it against a second jurisdiction.

    What is research misbehaviour? Where QRPs fit

    Research misbehaviour is an umbrella term for actions that deviate from responsible research practice without meeting the fabrication-falsification-plagiarism bar. It is most often used interchangeably with “questionable research practices” (QRPs) — a term formalised in the UK’s Concordat to Support Research Integrity, first published by Universities UK in 2012 and revised in 2019, which defines QRPs as “minor infractions or research practices, including avoidable errors, which fall short of the definition of intentional research misconduct.”

    Common QRPs include selective reporting of favourable results, “p-hacking” data until a significant finding emerges, HARKing (presenting a post-hoc hypothesis as though it were pre-registered), salami-slicing a single dataset into multiple papers, and inappropriate authorship allocation. A 2009 meta-analysis by Daniele Fanelli, published in PLoS ONE, found that on average only 1.97% of surveyed scientists admitted to fabricating or falsifying data at least once — but up to 33.7% admitted to other questionable research practices, and the figure rose sharply when respondents were asked about colleagues’ behaviour rather than their own. That roughly seventeen-fold gap is the empirical case for treating misbehaviour as a distinct, much larger risk surface than misconduct.

    Authorship disputes sit squarely in this grey zone. CASRAI originated the CRediT contributor role taxonomy in 2014. The standard is now stewarded by NISO as ANSI/NISO Z39.104-2022, and consistent use of its CRediT contributor roles is one of the more effective structural fixes institutions have for the ghost- and guest-authorship misbehaviours that recur in authorship disputes.

    How do regulators draw the line?

    No single global definition governs the misconduct/misbehaviour boundary. Each major framework sets its own threshold language, and the differences are consequential for cross-border collaborations and multi-national author teams.

    Framework / body Core threshold language Legal or policy basis Standard of intent
    US Office of Research Integrity (ORI) Fabrication, falsification, or plagiarism (FFP) 42 CFR Part 93 Intentional, knowing, or reckless
    UK Concordat to Support Research Integrity “Behaviours that deliberately or recklessly fall short of the standards expected” Universities UK Concordat (2012, rev. 2019) Deliberate or reckless
    World Health Organization “Wrongdoing” — FFP plus misrepresentation and other fraudulent behaviour WHO Code of Conduct for Research Intentional, knowing, or reckless
    Committee on Publication Ethics (COPE) Overlapping guidance distinguishing retraction-triggering misconduct from correction-triggering QRPs COPE flowcharts and guidelines for editors Proportionate to severity and evidence

    Notice the pattern: every framework anchors misconduct to intent or recklessness, and every framework treats everything short of that — errors, sloppy practice, grey-zone shortcuts — as a separate, lower-tier category, whether it is called a QRP, an “avoidable error,” or simply “wrongdoing” of a lesser kind.

    What happens after a finding? Sanctions compared

    The practical consequence of the misconduct/misbehaviour distinction is procedural. A misconduct finding typically follows a formal, panel-based investigation and can result in retraction, funding debarment, employment termination, or referral to a professional regulator. A misbehaviour or QRP finding more commonly results in a correction to the published record, mandatory training, enhanced supervision, or an editorial expression of concern — remedial rather than punitive action.

    • Misconduct outcomes: retraction, debarment from funding, dismissal, professional sanction, referral to law enforcement in extreme cases.
    • Misbehaviour/QRP outcomes: correction or erratum, mandatory research-integrity training, revised authorship credit, closer supervisory oversight.
    • Shared consequence: both can damage institutional reputation and require correction of the scholarly record, which is why UKRIO and equivalent bodies investigate both under a shared procedural umbrella even though the findings differ.

    Research institutions and research administration offices increasingly triage complaints against this two-tier structure before deciding whether a matter warrants a full misconduct panel or a lighter-touch integrity review — a proportionality principle that COPE explicitly recommends to journal editors handling post-publication concerns.

    Common questions about misconduct and misbehaviour

    What are the three types of research misconduct?

    Under the US federal definition, the three types are fabrication (inventing data or results), falsification (manipulating processes or altering data so the record misrepresents what occurred), and plagiarism (appropriating others’ ideas, words, or results without credit). Together these form the FFP standard used by ORI and mirrored internationally.

    What are the five unethical practices most often cited in research ethics literature?

    A widely cited framework lists falsification of data, failure to credit others, plagiarism, undisclosed conflicts of interest, and biased design or interpretation driven by outside influence. Some of these meet the formal misconduct threshold; others, like undisclosed conflicts, more often sit in the misbehaviour category depending on intent and severity.

    What is research misbehaviour, precisely?

    Research misbehaviour is any deviation from responsible research conduct — including questionable research practices and avoidable errors — that falls short of intentional fabrication, falsification, or plagiarism. It is a broader, less formally policed category than misconduct, typically addressed through correction and training rather than disciplinary panels.

    What actions count as research misconduct in UK institutional policy?

    UK institutional policies, following the Concordat to Support Research Integrity, typically list plagiarism, fabrication, falsification, breaching ethical or legal research requirements, proceeding without required approvals, and failing to manage conflicts of interest as research misconduct, provided the conduct was deliberate or reckless rather than an honest error.

    Implications for institutions and research administrators

    For research administrators, publishers, and funders, the practical task is triage: distinguishing an honest error or a QRP from conduct that meets the intent threshold for a formal misconduct investigation, before committing to a resource-intensive panel process. Institutions that document this distinction clearly in their code of practice — and train staff and early-career researchers on where the line sits — reduce both the number of misdirected formal investigations and the risk of under-reacting to genuine misconduct.

    As research-integrity offices, funders, and publishers converge on shared vocabulary for this spectrum, consistent taxonomy work — from CRediT-style contributor attribution to standardised institutional definitions — will keep doing more to prevent misbehaviour from escalating into misconduct than any single enforcement action can.

  • Who Handles Research Misconduct in 4 Countries?

    Who handles research misconduct depends entirely on the jurisdiction: no single global regulator exists. The United States channels federally funded cases through the Office of Research Integrity (ORI) under 42 CFR Part 93; the UK relies on individual universities advised by the UK Research Integrity Office (UKRIO); Australia splits oversight between the NHMRC/ARC-run Australian Research Integrity Committee (ARIC) and institutions applying the Australian Code for the Responsible Conduct of Research; and Canada’s Tri-Agency Secretariat on Responsible Conduct of Research (SRCR) enforces the Tri-Agency Framework across CIHR, NSERC and SSHRC-funded work. In all four systems, the employing institution — not the national body — conducts the actual investigation.

    Research misconduct is fabrication, falsification, or plagiarism in proposing, performing, reviewing, or reporting research — a definition first codified in US federal regulation and echoed, with local variation, across the other three systems discussed below.

    Contents

    Who actually investigates research misconduct?

    In every major research system, the first-line investigator is the researcher’s own institution, not a national regulator. National bodies — ORI, UKRIO, ARIC, and Canada’s SRCR — exist to set standards, provide oversight, and in some cases review procedural fairness, but they rarely re-investigate the underlying facts themselves.

    This “institution-first” model is near-universal because misconduct findings usually require discipline-specific expertise, access to lab notebooks, data, and witnesses that only the host institution can readily obtain. National oversight bodies then step in at different points: before a case (setting definitions and required procedures), during it (advising or auditing), or after it (reviewing the outcome or deciding on federal funding consequences).

    United States: the Office of Research Integrity (ORI)

    The Office of Research Integrity (ORI), part of the US Department of Health and Human Services, oversees misconduct involving research funded by the Public Health Service, including the National Institutes of Health (NIH). ORI does not typically conduct the initial fact-finding itself.

    • Institutions receiving PHS funding must maintain written misconduct policies compliant with 42 CFR Part 93, the federal research misconduct regulation.
    • Institutions run the inquiry and investigation; ORI oversees the process, can require corrective action, and can impose federal funding debarment.
    • The National Science Foundation (NSF) runs a parallel, separate process for NSF-funded research through its Office of Inspector General.
    • ORI’s statutory definition of research misconduct — fabrication, falsification, or plagiarism — is the reference definition most other countries cite or adapt.

    United Kingdom: institutions advised by UKRIO

    The UK has no statutory national investigator. Responsibility sits with the employing university or research organisation, which must operate a misconduct procedure consistent with the Concordat to Support Research Integrity (Universities UK, 2019).

    • The UK Research Integrity Office (UKRIO) is an independent charity, not a regulator — it provides advice, a model investigation procedure, and training, but has no statutory power to investigate or sanction.
    • UK Research and Innovation (UKRI), the national funder, requires funded organisations to have robust misconduct procedures as a condition of grant funding, per its Grant Research Practice policy.
    • The newer UK Committee on Research Integrity (UK CORI) monitors sector-wide research integrity but does not investigate individual cases either.
    • Appeals, where permitted, are handled internally by the institution, managed by someone other than the original decision-maker.

    Australia: NHMRC, ARC and the Australian Research Integrity Committee

    Australia operates a shared responsibility model. Institutions investigate under the Australian Code for the Responsible Conduct of Research (2018), jointly issued by the National Health and Medical Research Council (NHMRC), the Australian Research Council (ARC), and Universities Australia.

    • The Australian Research Integrity Committee (ARIC), a joint NHMRC/ARC initiative, reviews the process an institution followed — not the substance of the misconduct finding — when a complainant or respondent challenges procedural fairness.
    • NHMRC and ARC can withdraw or withhold funding from institutions found not to comply with the Code, giving Australia a funding-conditionality lever similar to the US ORI model.
    • Unlike the US and UK, Australia has an explicit national committee (ARIC) with a formal review remit, though it stops short of full investigative authority — a gap frequently raised in Australian research-integrity policy debate.

    Canada: the Tri-Agency Framework and SRCR

    Canada’s three federal granting agencies — the Canadian Institutes of Health Research (CIHR), the Natural Sciences and Engineering Research Council (NSERC), and the Social Sciences and Humanities Research Council (SSHRC) — jointly known as the Tri-Agency, govern misconduct through the Tri-Agency Framework: Responsible Conduct of Research.

    • The Secretariat on Responsible Conduct of Research (SRCR) administers the Framework, advises institutions, and tracks cases, but institutions conduct the actual investigation.
    • Institutions receiving Tri-Agency funds must sign a Memorandum of Understanding agreeing to investigate allegations under the Framework and report outcomes to the SRCR.
    • Consequences for non-compliance can include suspension or termination of Tri-Agency funding to the institution or individual — the same funding-lever mechanism used by ORI and NHMRC/ARC.

    Side-by-side comparison of powers and remit

    The table below summarises where investigative authority actually sits, and what each national body can and cannot do.

    Jurisdiction National body Who investigates National body’s actual power Governing framework
    United States Office of Research Integrity (ORI) Institution Oversight, funding debarment for PHS-funded research 42 CFR Part 93
    United Kingdom UKRIO (advisory charity) Institution Advice, model procedure — no statutory power Concordat to Support Research Integrity (2019)
    Australia ARIC (NHMRC/ARC joint committee) Institution Procedural-fairness review; funding conditionality via NHMRC/ARC Australian Code for the Responsible Conduct of Research (2018)
    Canada SRCR (Tri-Agency Secretariat) Institution Framework administration; funding suspension via Tri-Agency Tri-Agency Framework: Responsible Conduct of Research

    The consistent pattern: every national body relies on funding conditionality — not direct investigative power — as its main enforcement lever. Only the institution has authority to determine the facts of a specific allegation.

    Answer-first Q&A

    Who investigates research misconduct?

    The employing research institution investigates in the US, UK, Australia, and Canada. National bodies such as ORI, UKRIO, ARIC, and the SRCR set standards, provide advice, or review process fairness, but they do not typically conduct the fact-finding themselves — institutional panels of academic peers do.

    Which agencies oversee research misconduct?

    In the US, the Office of Research Integrity and the institution jointly oversee PHS-funded cases. The NSF Office of Inspector General covers NSF grants separately. In the UK, UKRI sets funding conditions while UKRIO advises. In Australia, NHMRC and ARC jointly run ARIC. In Canada, the Tri-Agency (CIHR, NSERC, SSHRC) oversees via the SRCR.

    What counts as research misconduct?

    Research misconduct generally means fabrication, falsification, or plagiarism in proposing, performing, reviewing, or reporting research — the core US federal definition. UKRIO frames it more broadly as behaviours that deliberately or recklessly fall short of expected research standards, distinguishing it from honest error or lesser “questionable research practices.”

    What happens if research misconduct is confirmed?

    Confirmed findings can trigger institutional disciplinary action, correction or retraction of the published record, and notification of funders. National bodies can add consequences: ORI can debar researchers from federal funding; NHMRC/ARC and Canada’s Tri-Agency can suspend or withdraw institutional or individual grant funding.

    What this means for institutions and researchers

    Institutions operating across borders — a common reality for multinational research collaborations — must satisfy multiple, non-equivalent oversight regimes simultaneously. A joint US-UK-Australia project can trigger three separate procedural obligations: 42 CFR Part 93 compliance for PHS funding, Concordat-aligned procedures for UK partners, and Australian Code compliance for NHMRC/ARC-funded co-investigators.

    Research administrators should map which funders and jurisdictions apply before a misconduct concern arises, not after. Confirming institutional procedures satisfy every applicable framework — rather than assuming one national standard covers a whole consortium — reduces the risk of a finding being challenged on procedural grounds in a partner jurisdiction.

    The direction of travel in all four systems is toward tighter funder-driven conditionality rather than new statutory investigative powers: expect national bodies to keep strengthening reporting and audit requirements on institutions, rather than assuming direct investigation duties themselves.

  • Image Manipulation as Research Misconduct

    Image manipulation as research misconduct means altering a figure — micrograph, blot, gel, or scan — so it misrepresents the underlying data; under the US Office of Research Integrity (ORI) and most institutional policies this falls under falsification, one of the three FFP misconduct categories. Forensic screening tools now flag duplication, splicing, and, increasingly, AI-generated fabrication before publication.

    Image manipulation is the alteration of a scientific image — through cloning, splicing, selective erasure, or generative synthesis — in a way that changes the scientific meaning of the data it depicts. Not every edit is misconduct: adjustments to brightness, contrast, or colour balance applied uniformly across an entire image are generally acceptable, provided they do not obscure, eliminate, or misleadingly enhance specific features. The distinction was first codified by Mike Rossner and Kenneth Yamada in a widely cited 2004 Journal of Cell Biology editorial, which remains the reference framework cited by UKRIO, ORI, and most publisher guidelines today.

    What Counts as Image Manipulation in Research Misconduct?

    Research-integrity bodies distinguish acceptable image processing from misconduct by asking a single question: does the resulting image still accurately represent the original data? Acceptable adjustments are applied uniformly, disclosed, and do not change scientific meaning. Unacceptable manipulations — the kind that constitute misconduct — include:

    • Cloning or duplicating a band, cell, or region within the same image or across different figures without disclosure
    • Splicing separate gel or blot lanes together and presenting them as one continuous exposure
    • Selectively erasing or adding features (bands, cells, particles) to support a claimed result
    • Non-uniform adjustment of brightness, contrast, or colour that obscures or exaggerates specific data points
    • Reusing an image from an unrelated experiment and relabelling it as a different condition

    ORI’s own reference guidance, distributed as an infographic to US research institutions, sets out these categories explicitly and has become the de facto training standard cited by UK and European research-integrity offices, including the UK Research Integrity Office (UKRIO).

    Why Do Research-Integrity Bodies Treat Manipulated Images as Misconduct?

    Image manipulation is classified as falsification, not fabrication, when an underlying experiment did take place but its visual record has been altered to misrepresent the result. The distinction matters for investigation and sanction, but the practical effect is the same: the published record no longer reflects what was actually observed.

    The scale of the problem is well documented. A landmark 2016 study in mBio by Elisabeth Bik, Arturo Casadevall, and Ferric Fang screened 20,621 papers published between 1995 and 2014 and found problematic figures in 3.8% of them, with roughly one in twenty-five showing duplication and about 0.3% showing clear evidence of deliberate manipulation rather than honest error. That single study reframed image screening from a niche editorial concern into a routine publisher workflow requirement.

    How Do Forensic Screening Tools Detect Fabricated or Duplicated Images?

    Detection now runs on three layers: manual visual review, software-assisted forensic analysis, and, most recently, AI-based classifiers trained to spot synthetic content. Each layer catches different manipulation types.

    Detection layer What it catches Typical method
    Visual/manual review Obvious splicing, mismatched lighting, repeated backgrounds Trained editor or reviewer inspection
    Software-assisted forensics Cloned regions, inconsistent noise patterns, hidden splice lines Contrast/histogram enhancement in tools such as ImageJ; error-level and JPEG-artefact analysis
    AI-based screening Cross-figure and cross-manuscript duplication, rotated/mirrored reuse, synthetic image artefacts Commercial platforms such as Proofig and ImageTwin, integrated via the STM Integrity Hub

    The International Association of Scientific, Technical and Medical Publishers (STM) launched its Integrity Hub in 2022 specifically so member publishers could share signals — including image-duplication flags — across manuscripts before they reach peer review, rather than each journal screening in isolation. The Committee on Publication Ethics (COPE) publishes a companion flowchart for what an editor should do once a screening tool raises a suspected-manipulation flag, covering author correspondence, raw-data requests, and escalation to institutional investigation.

    How Is AI-Generated Fabrication Changing Image-Integrity Screening in 2026?

    Duplication-detection algorithms work by matching pixel regions against other images in a database or manuscript. That approach struggles against a newer threat: images generated wholesale by diffusion or generative-adversarial models, which contain no duplicated pixels to match because every pixel is synthetic. A fabricated Western blot or flow-cytometry plot produced this way can pass a same-image duplication check while still depicting an experiment that never happened.

    This is the gap existing FFP and paper-mill guidance largely predates. Screening vendors are responding by adding generative-artefact detectors — models trained to spot the statistical fingerprints diffusion models leave behind (unnatural noise distributions, repeating micro-textures, implausible optical consistency) rather than searching for copies. Retraction Watch has tracked a rising number of retractions citing AI-generated or “nonsensical” figures since 2023, a trend distinct from — and additive to — the classic clone-and-splice cases the 2016 Bik study catalogued. Institutions and publishers now need two separate detection pipelines: similarity-matching for reused images, and artefact/statistical analysis for wholly synthetic ones.

    What Happens During a Research Misconduct Investigation Into Images?

    Once a screening tool or reviewer flags a suspected image, most institutions follow a two-stage process: an initial inquiry to establish whether the allegation has substance, followed by a formal investigation if it does. Investigators typically request the original, unprocessed image files, any laboratory notebooks describing acquisition, and metadata showing capture date and editing history. Research administration offices coordinating these inquiries generally work to institutional timelines rather than journal timelines, since a retraction outcome depends on the institution’s finding, not the publisher’s screening flag alone.

    Outcomes range from an author-issued correction (where the error was inadvertent and does not affect conclusions) through to retraction and a formal misconduct finding recorded against the researcher, which can trigger funder debarment or employment consequences depending on jurisdiction.

    Answer-First Questions

    What is image manipulation in research?

    Image manipulation in research is the alteration of a digital scientific image — through cloning, splicing, selective erasure, or software adjustment — in a way that changes what the image communicates about the underlying data. Uniform, disclosed adjustments to brightness or contrast are acceptable; selective, undisclosed changes that alter scientific meaning are not.

    What are some examples of research misconduct?

    Research misconduct is generally defined as fabrication, falsification, or plagiarism (FFP). Examples include inventing data that was never collected, splicing unrelated gel lanes into one figure, duplicating a microscopy image to represent two different conditions, and presenting another researcher’s text or data as one’s own.

    What are the negative impacts of image manipulation?

    Manipulated images can misdirect an entire research field, waste replication effort and funding, and — in biomedical contexts — inform clinical decisions based on results that never occurred. A single high-profile retraction linked to fabricated figures can also delay legitimate follow-on research for years while the record is corrected.

    What is an example of image manipulation in a published paper?

    A commonly documented example is lane splicing: joining gel or blot lanes from different experiments and presenting the composite as a single continuous exposure without a dividing line or disclosure, so the figure implies all samples were run and imaged together when they were not.

    What Are the Implications for Institutions and Publishers?

    Publishers integrating image screening into submission workflows (via STM Integrity Hub member tools) shift detection earlier, before peer review rather than after publication, which reduces the volume of post-publication corrections research administration offices must manage. For institutions, the practical implication is that image-integrity training now needs two tracks: the long-established Rossner–Yamada rules on acceptable processing, and newer guidance on recognising signs of wholly synthetic, AI-generated figures, which look different from spliced or cloned ones and are not caught by the same tools.

    Where Image-Integrity Screening Is Heading

    Image manipulation will keep sitting inside the falsification arm of research misconduct policy, but the detection toolkit is bifurcating: similarity-matching tools such as Proofig and ImageTwin remain effective against duplication and splicing, while a newer generation of generative-artefact detectors is needed for AI-synthesised figures that contain no copied pixels at all. Institutions, journals, and funders that treat these as one problem risk missing the category their existing tools cannot see.

    Research administrators overseeing integrity policy and investigations can find further framework context in CASRAI’s research administration resources.

  • European Code of Conduct for Research Integrity: What It Says and Who Must Follow It

    The European Code of Conduct for Research Integrity is a framework for self-regulation, published by ALLEA (All European Academies), that sets out four principles — reliability, honesty, respect, and accountability — and translates them into good research practices for every scientific and scholarly discipline.

    The Code is not a law. It is a reference document: the European Commission recognises it as the standard for research integrity across Horizon Europe-funded projects, and it increasingly functions as the template that national bodies, universities, funders, and publishers draw on when they write their own rules.

    What Does the European Code of Conduct for Research Integrity Say?

    The Code was first issued in 2011 by the European Science Foundation and ALLEA, revised in 2017, and substantially updated in the 2023 Revised Edition, published on 23 June 2023. Each revision has widened its scope: the 2023 text adds provisions on open science, data management under the General Data Protection Regulation (GDPR), equity and inclusion, and — for the first time — the responsible use of generative AI in research.

    Structurally, the Code separates good research practices from research misconduct. It sets out expectations for the research environment, training and supervision, research procedures, data management, collaborative working, publication and dissemination, and reviewing, evaluating, and editing. It then defines violations — fabrication, falsification, plagiarism — and distinguishes these from lesser questionable research practices.

    Two Horizon Europe-funded initiatives illustrate how the Code operates in practice rather than as an abstract statement: the ROSiE project built its guidelines for responsible Open Science directly on the Code’s principles, and the European Research Area Forum’s living guidelines on generative AI use the same four-principle structure as their foundation.

    The Four Principles: Reliability, Honesty, Respect, Accountability

    The Code is organised around four principles, commonly abbreviated RHRA:

    • Reliability — ensuring the quality of research through sound design, methodology, analysis, and use of resources.
    • Honesty — developing, undertaking, reviewing, reporting, and communicating research transparently, fairly, and without bias.
    • Respect — for colleagues, research participants, society, ecosystems, cultural heritage, and the environment.
    • Accountability — taking responsibility for the research process, from idea to publication, its management and organisation, training, supervision, and mentoring, and its wider societal impact.

    These four principles are the load-bearing structure of the entire document: every good practice and every misconduct definition traces back to one or more of them. Institutions building their own research integrity policy typically map local commitments against RHRA rather than inventing a parallel taxonomy.

    Who Should Follow the European Code of Conduct?

    ALLEA addresses the Code to the entire research community, not to any single actor. In practice this means:

    Stakeholder Expected role under the Code
    Researchers (all career stages) Apply RHRA principles in daily research conduct, data handling, and authorship decisions
    Universities and research institutions Provide training, embed the Code in institutional policy, and investigate alleged misconduct
    Funding agencies Require compliance as a grant condition (as the European Commission does for Horizon Europe)
    Publishers and editors Apply the Code’s publication-ethics provisions during peer review and post-publication correction
    Academies and learned societies Promote the Code within discipline-specific guidance and national adaptations

    Compliance is not enforced by ALLEA itself. Enforcement sits with the institution, funder, or publisher that has adopted the Code as a condition of employment, funding, or publication — which is why national and institutional codes exist alongside it rather than instead of it.

    How the Code Relates to the Netherlands Code and the UK Concordat

    The European Code positions itself explicitly as a model, not a substitute, for national frameworks. Two of the most-cited national instruments illustrate how that works in practice.

    The Netherlands Code of Conduct for Research Integrity (Nederlandse gedragscode wetenschappelijke integriteit) was developed by the Dutch universities’ association (now Universities of the Netherlands), the Federation of Dutch University Medical Centres, KNAW, NWO, and the TO2 federation, and took effect on 1 October 2018. It uses five principles — honesty, scrupulousness, transparency, independence, and responsibility — that map closely onto RHRA but split “reliability” into scrupulousness and independence.

    The UK Concordat to Support Research Integrity, first published by Universities UK in 2012 and revised in 2019, is organised around five commitments covering rigour, transparent governance, supportive research environments, addressing misconduct, and openness. The UK Research Integrity Office (UKRIO) treats the European Code as a reference document that informs, rather than replaces, UK sector guidance.

    Framework Publisher / steward Current edition Structure Binding status
    European Code of Conduct for Research Integrity ALLEA 2023 Revised Edition 4 principles (RHRA) Non-binding; mandatory for Horizon Europe grants
    Netherlands Code of Conduct for Research Integrity Universities of the Netherlands, NFU, KNAW, NWO, TO2 2018, in force since 1 October 2018 5 principles Binding on signatory institutions
    UK Concordat to Support Research Integrity Universities UK 2019 revision 5 commitments Non-binding; signed by most UK universities

    The pattern is consistent: national codes narrow and operationalise the European Code’s four principles into locally enforceable commitments, while keeping the underlying definitions of misconduct — fabrication, falsification, plagiarism — aligned with the European text. This is also why institutions outside the EU, including in North America, Australia, and Asia, increasingly cite the European Code as a baseline reference when no comparable domestic framework exists: it offers a discipline-neutral, internationally vetted starting point rather than a jurisdiction-specific rulebook.

    Answer-First Q&A

    What Is the European Code of Research Integrity?

    The European Code of Conduct for Research Integrity is a self-regulatory framework published by ALLEA that defines good research practice across all scientific and scholarly disciplines. First issued in 2011 and most recently revised in 2023, it is recognised by the European Commission as the reference standard for Horizon Europe-funded research.

    What Are the 5 Principles of Research Integrity?

    This is a common mix-up: ALLEA’s European Code itself sets out four principles — reliability, honesty, respect, accountability — not five. The “five principles” phrasing usually refers to a national adaptation, such as the Netherlands Code of Conduct‘s five principles (honesty, scrupulousness, transparency, independence, responsibility), which subdivides the European Code’s reliability principle.

    What Are the 4 Principles of Integrity?

    Under the European Code, the four principles of integrity are reliability (sound methodology), honesty (transparent, unbiased reporting), respect (for participants, colleagues, and the environment), and accountability (responsibility across the research lifecycle). Together they form the basis for every good practice and misconduct definition in the document.

    What Are the 7 Ethical Standards in Research?

    The “seven ethical standards” typically refers to a separate human-subjects research ethics framework (associated with Emanuel et al.), covering value, scientific validity, fair subject selection, favourable risk-benefit ratio, independent review, informed consent, and respect for participants. It is distinct from — though compatible with — the European Code’s integrity-focused RHRA structure, which governs conduct rather than human-subjects protection specifically.

    Implications for Research Administrators

    For research administrators, the practical takeaway is that the European Code functions as a compliance anchor even outside its formal EU jurisdiction. Institutional research integrity policies that cite the Code’s four principles by name are easier to defend during Horizon Europe audits, easier to cross-reference against national codes, and easier to explain to international collaborators who may not recognise a purely domestic framework.

    Grant offices, integrity officers, and research administration teams reviewing or drafting institutional policy should treat the 2023 revision — not the superseded 2017 edition — as the current baseline, since the generative AI and open science provisions did not exist before 2023.

    Looking ahead, the trend toward citing the European Code as a default reference is likely to continue as more funders outside Europe adopt open science and research-integrity conditions modelled on Horizon Europe’s approach, reinforcing the Code’s role as a de facto international baseline rather than a purely regional instrument.

  • What Is Research Integrity? Principles, Not Misconduct

    What is research integrity? It is the proactive, whole-of-lifecycle commitment to honesty, rigour, transparency, care and accountability that underpins trustworthy research, from initial study design through data collection, analysis and dissemination. Research misconduct — fabrication, falsification and plagiarism — is a separate, reactive violation of these principles, not a synonym for them.

    In one sentence: research integrity is the ethical framework of honesty, rigour, transparency, care and accountability that governs how research is designed, conducted and reported, as distinct from research misconduct, which describes specific, defined breaches of that framework.

    What Does Research Integrity Actually Mean?

    Research integrity is a standard of conduct, not a compliance checkbox. The UK Research Integrity Office (UKRIO) defines it as “all of the factors that underpin good research practice and promote trust and confidence in the research process,” covering every discipline and every sector where research is carried out. The UK Committee on Research Integrity (UKCORI) puts it more simply: research has integrity “when it’s carried out in a way that is trustworthy, ethical, and responsible.”

    Crucially, integrity is proactive — a set of principles researchers, institutions, funders and publishers commit to before and during a project. Misconduct is reactive — something investigated and adjudicated only after a specific, alleged breach. Confusing the two leads institutions to treat integrity purely as a disciplinary matter, when in practice it is a culture and training issue that prevents disciplinary matters from arising at all.

    What Are the Principles of Research Integrity?

    Two internationally recognised statements define the core principles, and they do not fully overlap — a distinction most explainers skip. The Singapore Statement, agreed at the 2010 World Conference on Research Integrity, sets out four global principles. The UK Concordat to Support Research Integrity, most recently revised in 2025 according to UKRIO, sets out five UK-specific principles.

    Singapore Statement (2010, global) UK Concordat to Support Research Integrity (2025)
    Honesty in all aspects of research Honesty — in ideas, methods, data, authorship and findings
    Accountability in the conduct of research Rigour — adherence to disciplinary norms, standards and protocols
    Professional courtesy and fairness in working with others Transparency and open communication — including declared conflicts of interest
    Good stewardship of research on behalf of others Care and respect — for participants, subjects, the environment and cultural heritage
    — Accountability — individually and collectively, including to research participants

    Both frameworks converge on honesty and accountability as non-negotiable. The UK Concordat adds explicit care and respect for participants and the environment, reflecting a decade of sector-specific refinement since the Singapore Statement was first agreed.

    How Does Research Integrity Differ From Research Misconduct?

    Research integrity and research misconduct sit at opposite ends of the same continuum, but they are not mirror images — one is a standard, the other is a narrow, legally defined category of violation.

    Research integrity Research misconduct
    Proactive: a standard applied throughout the research lifecycle Reactive: investigated only after an allegation is raised
    Broad: honesty, rigour, transparency, care, accountability Narrow: fabrication, falsification, plagiarism (FFP)
    Includes honest error, disagreement and self-correction as normal science Requires intent — knowing, deliberate or reckless conduct
    Owned by researchers, institutions, funders and publishers collectively Adjudicated by institutional or national investigation panels

    The US Office of Research Integrity (ORI), which oversees Public Health Service-funded research under 42 CFR Part 93, defines misconduct as fabrication, falsification, or plagiarism in proposing, performing, or reviewing research, or in reporting results. ORI’s own standard explicitly excludes “honest error or differences of opinion” — a distinction UK bodies echo when they describe transparency as permitting “humility in the process” and treating good-faith mistakes as a normal, productive part of research rather than a violation.

    Which Frameworks and Bodies Define Research Integrity in Practice?

    No single global regulator owns research integrity; instead, a small set of national and disciplinary bodies each cover part of the landscape.

    • UKRIO — the UK’s national advisory body for research integrity, providing guidance, a Code of Practice for Research, and independent case advice across all UK research sectors.
    • UKCORI — the UK Committee on Research Integrity, which monitors sector-wide trends and reports on the health of the UK’s research integrity landscape.
    • COPE (Committee on Publication Ethics) — sets guidance for journal editors and publishers on handling suspected misconduct once a manuscript or published article is implicated.
    • ORI — the US federal body enforcing 42 CFR Part 93 for Public Health Service-funded research, with formal investigation and debarment powers.

    Transparency, one of the five UK Concordat principles, has a concrete operational form: contributor-role disclosure. CASRAI originated the CRediT contributor role taxonomy in 2014; the standard is now stewarded by NISO as ANSI/NISO Z39.104-2022. Declaring who did what on a paper, using a recognised taxonomy of research contributions, is one of the few integrity principles that publishers can verify mechanically rather than take on trust.

    Why Does Research Integrity Matter?

    Research integrity is the precondition for everything downstream of a study: replication, policy use, patient safety and public funding decisions all assume the underlying record is honest.

    • Public trust — health policy, technology adoption and regulatory decisions rely on the assumption that published findings reflect what was actually done.
    • Reproducibility — other researchers can only replicate and build on work that was conducted and reported rigorously in the first place.
    • Institutional and funder risk — universities and funders that cannot demonstrate a working integrity framework face reputational damage and, in the UK, scrutiny tied to Concordat compliance reporting.
    • Research administration workload — a strong integrity culture reduces the volume of formal misconduct investigations, which are costly and slow compared with upfront training and clear authorship/data policies.

    Common Questions About Research Integrity

    What are the five principles of research integrity?

    Under the UK Concordat to Support Research Integrity, the five principles are honesty, rigour, transparency and open communication, care and respect, and accountability. They apply across the whole research lifecycle, from design through dissemination, and are echoed with minor variation in the four-principle Singapore Statement.

    What is an example of research integrity?

    Per UKRIO, examples include honesty in reporting methods and procedures, accurately gathering and presenting data, correctly referencing prior work, properly acknowledging co-authors’ contributions, and making claims that are genuinely justified by the findings obtained.

    What are the four principles of the Singapore Statement?

    Agreed at the 2010 World Conference on Research Integrity, the four principles are honesty in all aspects of research, accountability in conducting research, professional courtesy and fairness in working with others, and good stewardship of research carried out on behalf of others.

    What is the core difference between research integrity and research misconduct?

    Research integrity is a proactive standard covering honesty, rigour and transparency across an entire project. Research misconduct is a narrow, reactive category — under ORI’s 42 CFR Part 93, specifically fabrication, falsification, or plagiarism — investigated only after a specific allegation is made.

    What This Means for Institutional Leaders and Early-Career Researchers

    For institutional leaders, the practical implication is sequencing: integrity training, clear authorship policies and transparent data-management requirements must sit upstream of any misconduct process, not substitute for it. A Concordat signatory institution is expected to report annually on how it embeds these principles, not merely on how many misconduct cases it has closed.

    For early-career researchers, the distinction resolves a common source of anxiety. Honest error, a null result, or a documented change of method following peer feedback is normal scientific practice under every framework reviewed here — it is not misconduct, and does not need to be disclosed defensively. What matters is transparent reporting of what was actually done.

    The Bottom Line

    Research integrity and research misconduct are frequently conflated in casual usage, but the frameworks that govern UK and international research treat them as distinct: one is a standard applied throughout a project, the other a narrow, intent-based violation investigated after the fact. Institutions that build integrity into training, authorship policy and transparent reporting — rather than treating it as a subset of misconduct procedure — see fewer formal investigations and a stronger research culture overall.

  • Retraction Watch by Country: Governance Gaps

    Retraction Watch’s per-country data shows that national retraction rates vary far more once population and publication output are accounted for: Saudi Arabia (30.6 retractions per 10,000 papers), Pakistan (28.1) and Russia (24.9) rank highest by rate, while China and the United States lead only in absolute counts — a gap that reflects research-integrity governance maturity, not misconduct volume alone.

    Retraction Watch is a Crossref-stewarded database and blog that has logged more than 65,000 scientific paper retractions since its 2010 launch, making it the primary open dataset for cross-country research-integrity comparison.

    Which Countries Have the Highest Retraction Rates?

    When retractions are normalised against publication volume, the country leaderboard changes completely. A 2025 bibliometric analysis by John Ioannidis and colleagues, published on PubMed Central, calculated retractions per 10,000 papers and found Saudi Arabia, Pakistan, Russia and China at the top of the rate-adjusted table — a different set of countries from those that dominate raw retraction counts.

    Country Retractions per 10,000 papers Source
    Saudi Arabia 30.6 Ioannidis et al., 2025 (PMC)
    Pakistan 28.1 Ioannidis et al., 2025 (PMC)
    Russia 24.9 Ioannidis et al., 2025 (PMC)
    China 23.5 Ioannidis et al., 2025 (PMC)

    A separate 2025 study by Sebo, published in the Journal of Medical Internet Research, reached a broadly consistent conclusion using a different, population-adjusted method: Saudi Arabia, Singapore, Serbia, Taiwan and Russia ranked highest overall once national population size was factored in. The overlap between two independently constructed methodologies — output-adjusted and population-adjusted — is itself notable: it suggests the pattern is structural rather than an artefact of one counting method.

    Absolute Counts vs Per-Capita Rates: Why the Rankings Flip

    China and the United States generate the largest raw number of retractions simply because they publish the most papers. That volume effect masks rate differences that matter far more for governance analysis. A country publishing 500,000 papers a year with a modest retraction rate will still out-rank, in absolute terms, a smaller research system with a genuinely higher rate of misconduct-driven withdrawal.

    Retraction Watch’s own 2014 analysis of PubMed-indexed retractions illustrates the same point by cause rather than by count. It found Tunisia (42.9%) and France (38.5%) had the highest shares of retractions attributed to plagiarism, while Finland recorded the highest duplicate-publication rate at 37.5%, ahead of China at 29.4%. Different countries are not just retracting at different rates — they are retracting for structurally different reasons, which points to different weak points in local research governance.

    • High absolute counts (China, US, India) largely track publication volume.
    • High per-capita or per-output rates (Saudi Arabia, Pakistan, Russia) point to systemic pressure or detection gaps.
    • High single-cause shares (Tunisia’s plagiarism rate, Finland’s duplicate-publication rate) point to a specific, addressable failure mode rather than broad misconduct.

    What Retraction Rates Reveal About Governance Gaps

    No country operates a statutory national registry that tracks retractions the way Retraction Watch’s database does. The Retraction Watch Database was acquired by Crossref, a scholarly infrastructure non-profit, in September 2023 — meaning the closest thing the research sector has to a global retraction record is run by a metadata organisation, not a government regulator. That is itself a governance gap: national research-integrity oversight is fragmented and largely advisory.

    The US Office of Research Integrity investigates federally funded misconduct but has no jurisdiction over most published retractions. The UK Research Integrity Office (UKRIO) provides advisory guidance to institutions but holds no statutory enforcement power. The Committee on Publication Ethics (COPE) sets retraction guidelines that member journals agree to follow voluntarily, but COPE membership itself is not mandatory for publishers. Where a national system pairs strong institutional oversight with active journal-level detection — features associated with mature research-administration infrastructure — retraction rates tend to reflect correction rather than concealment.

    This is where research-integrity governance infrastructure becomes the real variable behind the country data: rate differences correlate as much with how actively a system finds and corrects problems as with how often problems occur in the first place.

    A 2025 conference analysis presented at the International Society for Scientometrics and Informetrics (ISSI) found that Ethiopia recorded the highest retraction-notice rate of the 2022-2024 period among countries with substantial publication volume — a marked shift from the historical China/Russia/Middle East concentration and a data point that has had little mainstream coverage to date. The finding aligns with a broader trend documented across the sector: mass retractions driven by “paper mills” — commercial operations that sell fabricated manuscripts and authorship slots — have pushed retraction volumes up sharply in emerging research systems since 2023, as journals and Crossref-linked tools improve detection.

    This matters for how the country data should be read. A rising national retraction rate in 2024-2026 is increasingly a signal of improved detection infrastructure catching paper-mill output, not proof that misconduct itself is rising at the same pace. Distinguishing the two requires looking at retraction reason codes, not just headline counts — exactly the kind of research misconduct terminology and classification work that under-resourced national systems still lack.

    Common Questions About Retraction Watch by Country

    What is the Retraction Watch?

    Retraction Watch is a blog and database project launched in 2010 by Ivan Oransky and Adam Marcus that catalogues retracted scientific papers. Its Retraction Watch Database, now holding over 65,000 retraction records, was acquired by Crossref in September 2023 and remains the largest public source of country-level retraction data.

    Is Retraction Watch credible?

    Yes. Retraction Watch is widely cited in peer-reviewed bibliometric research, including studies in the Journal of Medical Internet Research and work by researchers such as John Ioannidis. Its database is now maintained by Crossref, a scholarly infrastructure non-profit, which strengthens its provenance and reliability as a citation source.

    Is retraction good or bad?

    Neither, in isolation. Under COPE’s retraction guidelines, a retraction exists to correct the scholarly record, not to punish authors. A rising national retraction count can reflect worsening misconduct, or it can reflect a maturing research-integrity governance system that is actively detecting and correcting errors.

    How do I check if an article is retracted?

    Search the paper’s DOI or title in the Retraction Watch Database at retractiondatabase.org, or check Crossref’s metadata, which flags retraction notices directly. Reference managers such as Zotero can also cross-check saved libraries against retraction data and alert users automatically when a cited work has been withdrawn.

    Implications for Research Administrators

    For institutional leaders and research-administration teams, country-level retraction data is a governance diagnostic, not a scorecard. A high rate should prompt questions about detection capacity, journal partnerships, and institutional misconduct policy — not assumptions about researcher character. A low rate, in a system with weak journal oversight, may simply mean fewer problems are being found.

    As paper-mill-driven retractions continue to reshape the 2022-2026 data, the countries and institutions that invest in retraction-reason classification, COPE-aligned editorial policy, and Crossref-linked metadata infrastructure will be the ones whose retraction rates can be trusted as a genuine integrity signal rather than a detection artefact.

  • Research Integrity Office: A Governance Model

    A well-governed research integrity office reports to a senior academic officer independent of Human Resources, draws its investigation panels from cross-disciplinary senior staff plus at least one external member, and keeps case-handling separate from disciplinary sanctioning — a structure distinct from simply appointing a named Research Integrity Officer.

    A research integrity office is the standing institutional unit responsible for policy, training oversight and the inquiry-and-investigation process for allegations of research misconduct — distinct from the individually appointed Research Integrity Officer who runs its day-to-day casework.

    What Is a Research Integrity Office?

    A research integrity office is the standing unit — not a single job title — that owns an institution’s policy on responsible conduct of research, coordinates training, and runs the formal process when misconduct is alleged. Most coverage of this topic focuses on the individual Research Integrity Officer (RIO) career pathway; far less has been written about how the surrounding office should be structured as a governance function.

    The office typically sits alongside, but separate from, two adjacent functions: the research ethics committee, which reviews prospective study design and participant safeguards before research starts, and the research governance office, which manages sponsor, funder and regulatory compliance (common in clinical and health research). Conflating the three creates confusion about who owns what when a concern is first raised.

    It is also worth distinguishing an institution’s own office from the UK Research Integrity Office (UKRIO), an independent charity established in 2006 that provides advisory support — including case advice and training — to around 160 subscribing UK research organisations. UKRIO is a sector-wide advisory body; it does not replace the internal office each institution is expected to run under the Concordat to Support Research Integrity.

    Where Should the Office Report? Comparing Reporting-Line Models

    The office should report to a senior academic officer — a Pro-Vice-Chancellor for Research, Provost, or Vice-President for Research — never through a line that also manages HR casework or sits inside a single faculty. This gives the office standing to investigate any member of staff, including senior leadership, without a structural conflict of interest. In the United States, 42 CFR Part 93 requires any institution receiving Public Health Service research funding to designate an RIO with documented authority to act independently of the respondent’s own management chain.

    Governance model Reporting line Independence from HR Best fit
    Centralised office Reports directly to Provost / PVC-Research High — own budget line and case files Large, research-intensive universities
    Devolved faculty network Faculty-based integrity advisors report to a central RIO, who reports to the Provost Medium — depends on the advisor’s own line management Multi-faculty institutions with devolved research cultures
    External advisory subscription Advisory only; the institution retains formal decision-making authority High for advice, but not a substitute for a named internal Officer Smaller institutions, or as an escalation and second-opinion route

    King’s College London illustrates the devolved model: its Research Integrity Office is supplemented by faculty-based “Research Integrity Champions and Advisors” who provide local, first-line support while formal casework remains with the central office. Whichever model is chosen, the reporting line — not the job title of the person running it — determines whether the office can act without institutional pressure.

    Who Should Sit on the Investigation Panel?

    An investigation panel needs disciplinary expertise, distance from the respondent’s own department, and — for serious cases — at least one external, cross-institutional member. It should not include a standing HR representative as a voting member, because the panel’s task is to determine whether fabrication, falsification or plagiarism occurred, which is a different test to the workplace-conduct standard HR applies in disciplinary proceedings.

    • Cross-disciplinary membership that avoids conflicts of interest with the respondent’s own department or research group
    • At least one external member drawn from outside the institution for investigation-stage (not preliminary assessment-stage) cases
    • Separated roles across stages: an initial assessor, a fact-finding inquiry panel, and — only where warranted — a formal investigation committee
    • A documented recusal process for declared conflicts of interest
    • An independent secretariat, provided by the research integrity office itself rather than by HR

    Panel members require training on the institution’s misconduct policy and, where applicable, national frameworks such as the UKRIO Code of Practice for Research, which sets out five core principles — honesty, rigour, transparency and open communication, care and respect, and accountability — as the basis on which allegations are assessed.

    Why Independence from HR Is Non-Negotiable

    Independence from HR matters because a misconduct investigation establishes a factual finding about the integrity of the research record — a different exercise to the reasonable-conduct standard HR applies in employment disciplinary proceedings. Conflating the two risks the investigation being challenged as procedurally unfair, or as a pretext for an unrelated employment dispute.

    The two functions are sequential, not parallel. UK institutional codes typically specify that HR-led disciplinary procedures begin only once a research integrity office has confirmed a misconduct finding through its own separate process; King’s College London’s published Code of Good Conduct in Research is a public example of an institution setting out both processes as distinct. Confidentiality is a further reason for separation: misconduct proceedings protect the reputations of complainants, respondents and witnesses alike, and narrowing the circle of people with case access — rather than routing it through a general HR caseload — helps preserve that.

    Frequently Asked Questions

    What Does a Research Integrity Office Do?

    A research integrity office owns institutional policy on responsible research conduct, coordinates training for staff and students, and manages the formal process — assessment, inquiry and, where warranted, investigation — for allegations of research misconduct. It reports outcomes to senior leadership but does not itself impose employment sanctions.

    What Is the UK Research Integrity Office, and How Is It Different from an Institutional Office?

    UKRIO is an independent UK charity, established in 2006, that advises around 160 subscribing institutions and helped develop the Concordat to Support Research Integrity. It is a sector-wide advisory body, not a substitute for the internal office each institution must run to handle its own cases.

    What Are the Five Principles of Research Integrity?

    Under the UKRIO Code of Practice for Research, the five commonly cited principles are honesty, rigour, transparency and open communication, care and respect, and accountability. These principles inform how research integrity offices and panels assess whether an allegation meets the threshold for a formal misconduct finding.

    What Counts as Research Misconduct?

    Research misconduct generally covers fabrication, falsification and plagiarism, alongside proceeding without required ethical approvals and manipulating data, materials or processes to misrepresent results. A research integrity office defines the precise scope in institutional policy, aligned to national frameworks such as the Concordat to Support Research Integrity.

    Implications for Institutions Building or Reforming an Office

    The revised Concordat to Support Research Integrity (2025) sharpens its fifth commitment — accountability and continuous improvement — which puts explicit pressure on institutions to evidence, not merely assert, that their office structure is independent in practice. Institutions still relying on an RIO who reports through a research-office middle layer, or panels that include HR as a standing member, should treat this as a governance gap to close rather than an administrative preference.

    The wider research administration function increasingly treats research integrity governance as core infrastructure rather than a compliance afterthought, alongside ethics review and research governance offices. As AI-assisted data analysis and image manipulation raise new detection challenges, panels with genuine cross-disciplinary and external representation — reporting through a line insulated from both departmental and HR pressure — will be better placed to investigate credibly and defend their findings if challenged.

  • Research Misconduct NHS: How Governance Differs from University Policy

    Research misconduct NHS allegations are not resolved as a purely internal university disciplinary matter. Because a designated research sponsor and the Health Research Authority (HRA) hold formal accountability under the UK Policy Framework for Health and Social Care Research, misconduct in NHS-hosted clinical studies routes through trust-level research governance and, for doctors, potential General Medical Council scrutiny — running alongside, not instead of, any university process.

    Research misconduct is behaviour that deliberately or recklessly falls short of the standards expected in the conduct of research, spanning fabrication, falsification, plagiarism, and breaches of the ethical or regulatory approvals a study depends on.

    What Counts as Research Misconduct in NHS-Hosted Research?

    In an NHS setting, research misconduct covers the same core categories recognised across UK research generally, but with an added patient-safety dimension. Proceeding without the ethics approval, HRA Approval, or informed consent a study requires is treated as seriously as fabricating data.

    • Fabrication or falsification of results, including patient consent records
    • Plagiarism of ideas, protocols, or published text
    • Undeclared conflicts of interest affecting clinical decision-making
    • Conducting research without the required ethical or regulatory permissions in place
    • Deviating from an approved protocol without reporting the change

    The UK Research Integrity Office (UKRIO) frames this as behaviour that “deliberately or recklessly” falls short of expected standards — a threshold that separates genuine misconduct from honest error, which most NHS trust policies classify instead as a “questionable research practice” requiring correction rather than disciplinary action.

    Who Investigates? The Sponsor, the HRA and Trust Governance

    The pivotal difference from a university-only inquiry is the statutory concept of the research sponsor. Under the UK Policy Framework for Health and Social Care Research (Health Research Authority and the four UK health departments, first published 2017), the sponsor — usually the NHS trust, a university, or a commercial entity — takes on legal responsibility for confirming a study’s initial and ongoing suitability.

    This changes who is notified and when:

    • The NHS trust’s Research and Development (R&D) office, or the trust’s Director of Research, typically leads the initial assessment of an allegation raised on trust premises
    • Serious breaches of Good Clinical Practice or the approved protocol in a clinical trial must be reported by the sponsor to the HRA (and, for medicines trials, the MHRA) within statutory timeframes — a duty that has no direct equivalent in a purely observational university study
    • The relevant NHS Research Ethics Committee must be informed where the breach affects participant safety or the ethical basis of the study
    • Where fraud is suspected, the NHS Counter Fraud Authority can be engaged in parallel to any research-integrity investigation
    • For registered doctors, nurses, or other regulated professionals, a finding of misconduct can trigger a separate referral to the General Medical Council or equivalent professional regulator, independent of the employer’s own outcome

    UKRIO’s model procedure — the template most university codes of practice are built on — is advisory rather than statutory. NHS research governance, by contrast, sits inside a framework with mandatory reporting duties attached to the sponsor role, which is why an allegation in an NHS-hosted trial can trigger regulatory notifications a university-only investigation would never generate.

    NHS Research Misconduct vs University Procedures: Where They Diverge

    Both systems share the same underlying commitments — the Concordat to Support Research Integrity (Universities UK, 2019) and UKRIO’s guidance inform both — but the accountable parties and mandatory notifications differ sharply.

    Dimension University-led research NHS-hosted clinical research
    Primary framework Concordat to Support Research Integrity (Universities UK, 2019) UK Policy Framework for Health and Social Care Research (HRA, 2017)
    Accountable party The employing institution’s “Named Person” / Responsible Officer The research sponsor, working with the host trust’s R&D office
    Investigating body Institutional panel, often with external academic peers Trust governance process, informed by sponsor obligations to the HRA
    Mandatory external notification Rare — typically only funders or journals if the record needs correcting HRA/MHRA for serious breaches; REC for participant-safety issues; Counter Fraud Authority where fraud is suspected
    Professional regulator exposure Uncommon unless a professional body membership is engaged Possible GMC, NMC or equivalent fitness-to-practise referral for regulated clinicians
    Guiding non-statutory body UKRIO model procedure UKRIO guidance, applied within HRA sponsor obligations

    The practical effect: an NHS-hosted allegation can generate two or more concurrent processes — sponsor/trust governance and, if a professional regulator becomes involved, a fitness-to-practise track — whereas a university-only case usually resolves within a single institutional procedure.

    What Dual-Employment Researchers Need to Know

    Most clinical academics hold a substantive university post alongside an honorary research contract or “letter of access” with an NHS trust, arranged through the NHS Research Passport system. This dual status means an allegation can, in principle, be picked up by either employer’s procedure — or both.

    • Establish early which organisation is the study’s sponsor: sponsor obligations under the UK Policy Framework sit with that entity, not automatically with the employer
    • Expect the university and the NHS trust to agree a lead institution for the investigation, informed by UKRIO’s guidance on cross-institutional cooperation, with the second body kept informed rather than running a parallel duplicate inquiry
    • Understand that an honorary contract does not exempt a researcher from either institution’s disciplinary powers — sanctions (suspension of research privileges, restriction of clinical duties, dismissal) can be applied independently by each party
    • Keep records of ethical approvals, protocol versions, and consent documentation accessible to both employers, since a trust R&D office and a university research office may request the same evidence separately

    Research administrators supporting joint appointments should confirm, before a study opens, which institution’s misconduct procedure will apply if a concern is raised — this sits alongside the wider governance responsibilities covered under research administration frameworks.

    Frequently Asked Questions

    What is an example of misconduct in the NHS?

    In an NHS research context, a documented example is proceeding with a clinical trial without valid ethics approval or falsifying patient consent records. Both breach the UK Policy Framework for Health and Social Care Research and trigger sponsor reporting duties to the Health Research Authority, independent of any wider workplace conduct issue.

    What are the three types of research misconduct?

    The three most widely recognised categories are fabrication (inventing data or results), falsification (manipulating data, materials, or processes to misrepresent findings), and plagiarism (using others’ work or ideas without acknowledgement). UK bodies including UKRIO also recognise a broader “questionable research practices” category for less severe lapses.

    What is considered the most serious form of research misconduct?

    Fabrication of results or consent data is generally treated as the most serious category, because it directly corrupts the evidence base and, in clinical research, can endanger patient safety. In NHS-hosted studies, fabrication findings typically prompt both sponsor notification to the HRA and professional regulator referral for the individual involved.

    What is a sackable offence in NHS?

    A confirmed finding of fabrication or falsification in NHS-hosted research is normally treated as gross misconduct and can constitute a sackable offence under trust disciplinary policy. For registered clinicians, the same finding can additionally trigger a General Medical Council fitness-to-practise referral, separate from the employer’s own decision.

    The structural distinction matters beyond individual cases. As more clinical trials run through joint university–NHS sponsorship arrangements, institutions that treat research governance as a single, unified track — rather than mapping sponsor, trust, and employer obligations separately — risk missing mandatory notifications the UK Policy Framework requires. Clear, pre-agreed lead-institution protocols for dual-employment researchers remain the most effective safeguard.

  • Questionable Research Practices vs Misconduct: Where Institutions Draw the Line

    Questionable research practices (QRPs) are not research misconduct, and treating them as identical is where institutional triage goes wrong. Misconduct — fabrication, falsification, and plagiarism (FFP) — requires intent and a formal proof standard; QRPs such as p-hacking, HARKing, and selective reporting occupy a wider grey zone that most institutions route through a separate, lower-intensity process.

    A questionable research practice is a research or reporting behaviour that deviates from rigorous methodological or ethical norms without meeting the legal definition of fabrication, falsification, or plagiarism. The distinction matters because it determines which procedural track — and which evidentiary burden — an institution applies to a complaint.

    What counts as a questionable research practice?

    QRPs cluster around the design, analysis, and reporting stages of a study. The most cited taxonomy comes from an incentivised self-report survey published in Psychological Science (John, Loewenstein & Prelec, 2012), which found admission rates for practices such as selectively reporting studies “that worked” approaching 50% — far higher than admitted rates of outright data fabrication, which stayed under 2%. That gap is itself the argument for treating QRPs as a distinct governance problem rather than a rare edge case of misconduct.

    • P-hacking (data dredging): running multiple analyses or exclusion criteria until a result reaches statistical significance, then reporting only that version.
    • HARKing: presenting a post hoc, exploratory finding as though it were the pre-specified hypothesis.
    • Selective/cherry-picked reporting: omitting non-significant outcomes, conditions, or measures from the published record.
    • Salami slicing: splitting one dataset into the minimum publishable units to inflate output count.
    • Honorary or ghost authorship: crediting non-contributors or omitting contributors, which is why standardised contributor role disclosure matters for accountability.
    • Inadequate data retention: failing to keep raw data, code, or protocols available for verification.

    How do QRPs differ from research misconduct?

    Under US federal policy (42 CFR Part 93, administered by the Office of Research Integrity), research misconduct is defined narrowly as fabrication, falsification, or plagiarism in proposing, performing, or reviewing research, or in reporting results. Three conditions must all be met: a significant departure from accepted practices, intentional/knowing/reckless conduct, and proof by a preponderance of the evidence. The same regulation explicitly excludes “honest error” and “differences of opinion” from the misconduct definition — which is precisely the space most QRPs occupy.

    UK guidance frames the same boundary differently but reaches a similar conclusion. UKRIO’s 2023 guidance by Simon Kolstoe, “Defining the Spectrum of Questionable Research Practices,” describes a continuum running from honest error and sloppiness through to QRPs and, at the far end, fabrication, falsification, and criminality — with no single fixed cut-off point.

    Dimension Questionable research practice Research misconduct (FFP)
    Intent required Not required — may be unintentional, driven by pressure or ignorance Must be intentional, knowing, or reckless
    Governing definition No single legal definition; institutional/disciplinary norms 42 CFR Part 93 (US); institutional misconduct policy (UK/EU)
    Standard of proof Not applicable — assessed for pattern/severity, not adjudicated Preponderance of the evidence
    Typical examples P-hacking, HARKing, selective reporting, salami slicing Fabricated data, altered images, verbatim plagiarism
    Usual institutional track Research governance, retraining, correction, departmental review Formal inquiry and investigation with findings and sanctions

    How do institutions triage an allegation?

    Under the ORI model that most US research institutions adopt, and which UK bodies broadly mirror in structure, a complaint moves through staged gates rather than a single up-or-down decision.

    1. Assessment: a Research Integrity Officer performs an initial review to establish whether, if the allegation were true, it would meet the FFP definition and falls within the institution’s jurisdiction. Concerns that describe sloppiness, honest error, or a QRP without evidence of intent are typically redirected here rather than escalated.
    2. Inquiry: a limited fact-finding step, conducted under 42 CFR Part 93 within 60 calendar days unless circumstances clearly warrant longer, to decide whether a full investigation is warranted.
    3. Investigation: a formal, evidence-gathering process triggered only once the inquiry finds a sufficient basis, applying the preponderance-of-evidence standard and producing a written report with findings.

    QRPs that do not clear the assessment gate are not dismissed outright — the National Academies of Sciences, Engineering, and Medicine’s 2017 report Fostering Integrity in Research proposed the term “detrimental research practices” specifically to argue that institutions need a formal, non-misconduct track for exactly this category, rather than either ignoring it or misapplying the misconduct process to it. COPE’s flowcharts for publishers follow the same logic: suspected fabrication routes to a formal investigation referral, while methodological concerns typically route to correction or expression-of-concern mechanisms first.

    Why does the distinction change institutional response?

    Misapplying the misconduct process to a QRP over-penalises ambiguous conduct and consumes scarce Research Integrity Officer capacity on cases that cannot meet the intent standard. Under-applying it — treating a concealed fabrication as “just” a QRP — lets a genuine breach evade the preponderance-of-evidence process entirely. Accurate triage at the assessment stage is therefore the single highest-leverage decision point in the entire allegation-handling pipeline, and it depends on evaluators being able to name the difference precisely rather than treating “research integrity concern” as one undifferentiated category.

    This is also why standardised terminology for research integrity concepts, and consistent research administration processes for logging and routing complaints, reduce inconsistent outcomes across departments within the same institution.

    Answer-first questions on QRPs and misconduct

    What is the difference between questionable research practices and research misconduct?

    Research misconduct is fabrication, falsification, or plagiarism committed intentionally, knowingly, or recklessly and proven by a preponderance of evidence under frameworks such as 42 CFR Part 93. QRPs are a broader, less severe category — practices like p-hacking or HARKing — that may be unintentional and do not meet the FFP definition.

    What are examples of questionable research practices?

    Common QRPs include p-hacking, HARKing, selective or cherry-picked reporting, salami slicing of datasets into multiple papers, inadequate record-keeping, and honorary or ghost authorship. None of these automatically constitutes misconduct unless deliberate concealment or fabrication can be demonstrated.

    Is p-hacking considered research misconduct?

    Generally no. P-hacking is classified as a questionable research practice because it typically reflects flawed analytical judgement or incentive pressure rather than deliberate fabrication. It can escalate to misconduct only if a researcher knowingly falsifies or conceals the analytic process to deceive reviewers.

    Who decides whether an allegation is misconduct or a questionable practice?

    A Research Integrity Officer (or institutional equivalent) makes this call at the assessment and inquiry stages, evaluating whether alleged conduct could meet the FFP definition before any formal investigation begins. This gatekeeping decision determines which procedural track and evidentiary standard apply.

    Where institutional policy is heading

    Recent scholarship — including a 2026 classification study in a leading research-ethics journal — continues to push toward more granular, ranked taxonomies of QRPs rather than a single undifferentiated label, reflecting growing recognition that “questionable research practice” spans behaviours of very different severity. For institutions, the practical implication is unchanged: allegation-handling policies need an explicit, documented triage step that distinguishes FFP-eligible conduct from the wider QRP category before any case enters a formal investigation track. Institutions that skip this step either over-invest in low-severity concerns or under-investigate the ones that matter.

  • Self-Plagiarism Policy: A Research Office Guide

    Self-plagiarism is the reuse of an author’s own previously published words, data or findings in a new submission without disclosure, and duplicate publication is its most serious form: submitting substantially the same paper to a second journal or assessment exercise as if it were original. Research offices need a written policy because UK universities define and detect the practice differently from how journals, guided by the Committee on Publication Ethics (COPE), handle it after publication.

    Self-plagiarism is the reuse or recycling of one’s own previously disseminated text, data or ideas without acknowledging their prior publication, a definition close to that used by the University of Glasgow’s postgraduate research code of practice. It is not theft of someone else’s intellectual property, but it can mislead readers about the novelty of the work and, where copyright has passed to a publisher, breach that publisher’s rights.

    What is self-plagiarism and how does it differ from duplicate publication?

    Self-plagiarism covers several distinct behaviours, and a policy that treats them as one problem will under- or over-punish researchers. Miguel Roig’s widely cited taxonomy, referenced in University of Glasgow guidance, separates duplicate publication (the same paper submitted to two venues), redundant publication (substantial overlap with limited new content), augmented publication or “meat extension” (a small data addition dressed up as a new study) and segmented publication, also called salami-slicing, where one dataset is fragmented into several minimal papers.

    • Text recycling — reusing methods or literature-review paragraphs verbatim across papers, generally treated less severely if disclosed.
    • Duplicate (redundant) publication — near-identical results, data and conclusions appearing in two outlets without cross-reference.
    • Salami slicing — splitting one study into the minimum publishable unit to inflate an author’s output count.
    • Double-dipping — submitting one piece of coursework for credit in two modules or degrees, the most common student-facing case.

    The common thread across all four is the absence of a clear statement telling the reader, editor or examiner that the material has appeared before.

    How do UK universities define and detect self-plagiarism?

    UK institutions typically fold self-plagiarism into their academic integrity or research misconduct code rather than issuing a stand-alone policy. The University of Glasgow’s postgraduate research code of practice defines it as republishing “a work in its entirety or reuses portions of a previously written text while authoring a new work,” explicitly flagging the copyright-infringement risk. Detection at the institutional level is almost always automated.

    Text-matching software, principally Turnitin, retains a database of every previous submission by a student or researcher within a subscribing institution, so recycled coursework, theses or preprints are matched even when no external source is involved. This is a structural difference from journal-side detection, which typically relies on CrossCheck/iThenticate comparisons against the published literature rather than an institution’s own submission archive — meaning a student’s unpublished prior assignment may be invisible to a journal but immediately flagged by a university’s own repository.

    Institutional handling also sits inside a wider governance structure: UK signatories to the Concordat to Support Research Integrity, coordinated by Universities UK, commit to transparent, proportionate misconduct procedures that must cover publication practices, including duplicate and redundant publication, not only fabrication and falsification.

    Where do COPE rules diverge from institutional academic-integrity rules?

    Journals and universities are answering different questions, which is why the same manuscript can trigger two separate, non-identical processes. A journal editor following COPE guidance is asking whether the scholarly record needs correcting; a research office is asking whether an individual has breached a code of conduct.

    Dimension COPE / journal response Institutional / research office response
    Primary concern Integrity of the published record and reader transparency Conduct of the individual against the institution’s code
    Typical trigger Editor or reviewer recognises overlapping text or data post-submission Text-matching software flags a submission at intake (thesis, assignment, grant report)
    Guidance used COPE flowcharts on suspected redundant (duplicate) publication; ICMJE recommendations on overlapping publications Institutional academic integrity policy, often referencing the UK Concordat to Support Research Integrity
    Possible outcomes Correction, expression of concern, or retraction; author notified via publisher Formal warning, mark penalty, mandatory training, or referral to a misconduct panel
    Who acts Journal editor, in consultation with the publisher and, where relevant, the author’s institution Research integrity officer or academic conduct committee

    COPE’s own case files show the practical effect of this divide: its published discussion of a self-plagiarism case notes forum members expressing sympathy for an author while still requiring correction of the record, because the editorial remedy (correcting readers) is independent of any judgement about the author’s intent. A research office cannot outsource its own disciplinary decision to a journal’s correction, and a journal cannot substitute for an institution’s misconduct process — each must run its own track, and a policy that assumes one covers the other will leave gaps.

    What should a research office’s self-plagiarism policy include?

    A workable policy needs to do more than restate the definition. Based on the divergence set out above, a research office policy should:

    1. Define self-plagiarism with named sub-categories (duplicate, redundant, augmented, segmented publication) rather than a single umbrella term, so cases are classified consistently.
    2. State explicit exceptions — conference-to-journal expansion, translations for non-English audiences, and plain-language summaries — provided each carries a disclosure statement to editors and, where relevant, examiners.
    3. Set out the detection method (which text-matching tool, what similarity threshold triggers review) so staff and students know how matches are surfaced.
    4. Separate the reporting line for student cases (module leader or academic conduct office) from staff/researcher cases (research integrity officer), since the applicable code differs.
    5. Require researchers to disclose prior publication of overlapping material to editors at submission, mirroring ICMJE’s overlapping-publication recommendations, rather than leaving disclosure to be discovered.
    6. Reference COPE’s flowcharts on suspected redundant publication as the institution’s expected response when a journal makes contact about one of its authors.

    Policies that omit the disclosure-based exceptions tend to produce the most complaints, because researchers legitimately reworking a conference paper, a thesis chapter or a policy briefing for a new audience are treated identically to authors concealing duplicate results.

    Common questions about self-plagiarism

    What is an example of self-plagiarism?

    A common example is submitting the same coursework essay for credit in two different modules, or publishing a near-identical dataset and discussion in two journals without cross-referencing the earlier paper. Both withhold from the reader or marker that the work has been previously submitted or published.

    Will Turnitin detect self-plagiarism?

    Turnitin can detect self-plagiarism because it retains a searchable archive of every prior submission made within a subscribing institution. A student’s own earlier assignment, thesis draft or conference paper will typically be flagged as a text match, even where no external plagiarism has occurred.

    What happens if a researcher is found to have self-plagiarised?

    Outcomes depend on which track applies. Journals follow COPE guidance and may issue a correction, expression of concern or retraction; universities apply their own academic integrity code, which can range from a formal warning to referral to a research misconduct panel for staff, or a failed module for students.

    How can researchers avoid self-plagiarism when reusing their own work?

    Researchers should cite their own prior work as they would any other source, disclose overlapping material to editors in a cover letter, and obtain explicit permission from co-authors, supervisors or publishers before reusing substantial text, data or figures in a new submission.

    Implications for research offices

    The gap between journal-side and institution-side handling is not a loophole; it is two accountability systems answering different questions about the same document. A research office that documents this distinction explicitly — rather than assuming a COPE correction closes the institutional file — will resolve cases faster and more consistently.

    As text-matching tools extend coverage to preprint servers, thesis repositories and grant reports, more duplicate-publication cases will surface at intake rather than after publication. Institutions that name detection thresholds, disclosure exceptions and dual reporting lines now will handle that shift better than those relying on a general-purpose plagiarism clause.

    For related institutional context, see CASRAI’s overview of research administration practice and its explainer on authorship criteria, which intersects with duplicate-publication disputes over who is entitled to reuse shared material.