CASRAI Dictionary

Tag: image integrity

  • Image integrity and manipulation detection in research publishing

    In much of the life sciences, the image is the evidence. A western blot, a micrograph, a gel, a fluorescence panel — these figures are not illustrations of a result; they are the result, the primary data on which a paper’s claims stand or fall. That centrality is exactly what makes image integrity such a serious matter. A figure that has been improperly altered — a band duplicated to suggest a result that was not obtained, two images spliced together as if they were one, the same micrograph reused to represent two different experiments — can make a false claim look like solid evidence. Image problems have driven a substantial share of corrections and retractions, and detecting them is now a recognised part of safeguarding the literature. This article examines image integrity and its detection, drawing on the research integrity domain of the CASRAI Dictionary.

    What image problems look like

    Image integrity issues span a spectrum from honest error to deliberate fabrication, and a responsible approach must keep that spectrum in view. Common categories include:

    • Duplication. The same image, or a portion of it, appears more than once — representing different samples, conditions or experiments — whether by mistake or by design.
    • Manipulation. An image has been altered in ways that misrepresent the underlying data: bands erased or added, contrast adjusted to hide or create features, elements cloned or removed.
    • Splicing. Separate images, or non-adjacent lanes of a gel, are combined and presented as a single continuous image without disclosure.
    • Reuse. An image from an earlier paper is reused to stand for a different result, sometimes rotated, cropped or rescaled to disguise the reuse.

    Some of these arise from sloppiness, mislabelling or a poor understanding of acceptable figure preparation; others are deliberate misconduct. Distinguishing the two is a matter for careful, fair investigation, but the first step is simply detecting that something is amiss.

    Screening tools and forensic detection

    For a long time, image problems were caught only when a sharp-eyed reader, editor or reviewer happened to notice them — an unreliable safety net given the volume of figures published. The development of forensic image-screening tools has changed this. Software designed to detect image manipulation and duplication — with tools such as Proofig and ImageTwin among the better known — can scan a manuscript’s figures and flag suspicious features: regions that appear duplicated within or between images, signs of cloning or splicing, and matches against other published images. These tools do not pronounce guilt; they surface candidates for human examination, dramatically increasing the chance that a problem is caught before publication rather than after. The expert work of interpreting a flag — deciding whether it reflects an innocent explanation, a correctable error or genuine misconduct — remains firmly with people, but the tools make systematic screening feasible at scale.

    Bringing screening into the workflow

    The most important shift is the move to screen images before publication, as part of the editorial workflow, rather than relying on post-publication discovery. A growing number of journals and publishers now incorporate image screening into their processes — running figures through forensic tools at submission or before acceptance, so that potential problems can be raised with authors and resolved while the paper is still under consideration. This is far preferable to discovering an image problem after publication, which can mean correction, expression of concern or retraction, with all the disruption and reputational cost that entails. Pre-publication screening is becoming a standard quality-control step in the same way that plagiarism screening did before it — a routine part of preparing the scholarly record rather than an extraordinary intervention.

    The role of COPE and integrity bodies

    Detecting a possible image problem is only the beginning; what happens next must be fair, consistent and proportionate, and this is where guidance from integrity bodies is essential. The Committee on Publication Ethics (COPE) provides editors with guidance and flowcharts for handling suspected image manipulation and related concerns — how to raise the issue with authors, how to involve institutions, how to distinguish error from misconduct, and how to apply remedies such as correction or retraction appropriately. This guidance matters because an image flag is an allegation with serious consequences for the people involved, and due process is non-negotiable. In some jurisdictions, formal oversight bodies are also involved: in the United States, the Office of Research Integrity (ORI) oversees integrity in federally funded research and has long dealt with image-based allegations as part of misconduct cases. Together, these bodies ensure that the response to a detected problem is governed by recognised norms rather than improvised.

    Prevention as well as detection

    Detection is necessary but not sufficient; preventing problems is better. Much can be achieved through clear standards for figure preparation — what adjustments are acceptable, what must be disclosed, how gels and blots should be presented — and through education, so that researchers understand where the line lies before they cross it inadvertently. Requiring that the original, unprocessed image data be available for checking is another powerful deterrent and aid to resolution. Image integrity, in other words, is part of the broader culture of responsible conduct: it is supported by good training, transparent data practices and clear expectations, not by screening tools alone. The wider context of integrity practice and authorship responsibility is explored across our authorship resources.

    A consistent vocabulary for integrity

    For image-integrity concerns to be handled consistently across journals, publishers and institutions, the concepts involved must be described the same way everywhere — what constitutes manipulation, what the categories of concern are, and how outcomes such as corrections and retractions are recorded. That consistency is what the CASRAI Dictionary provides: a shared vocabulary so that integrity information travels accurately wherever it is recorded. And because honest figures rest on honest contribution, the work behind every paper can be described in the same framework used throughout the record — the CRediT taxonomy and its full set of contribution roles, including the investigation and data curation on which sound images depend. Figures carry the weight of evidence; protecting their integrity protects the literature itself.

  • Post-publication peer review and research sleuths: PubPeer and self-correction after publication

    It is tempting to think of peer review as a gate: a manuscript is scrutinised, it passes, it is published, and the matter is closed. But publication is not the end of scrutiny — or it should not be. Errors slip through review, problems become visible only once a paper is read widely, and occasionally misconduct is detected only after the work is in the literature. A scholarly record that could never be questioned after publication would accumulate its mistakes forever. Post-publication peer review is the practice of continuing to scrutinise work after it appears, and it has become an essential part of how the literature corrects itself. This article examines that practice and the people and platforms behind it, drawing on the research integrity domain of the CASRAI Dictionary.

    What post-publication peer review is

    Post-publication peer review is exactly what its name suggests: the evaluation of a published work by the community after it has appeared, rather than only by selected reviewers before it appears. It can take many forms — a published commentary, a letter to the editor, a structured review on a dedicated platform, or an informal note on social media. What unites them is the recognition that the few reviewers who assessed a paper before publication are not the last word on it, and that the wider community of readers can identify problems the original reviewers could not. It treats the published paper not as a closed case but as a claim that remains open to examination.

    PubPeer and the online commentary layer

    The best-known infrastructure for post-publication review is PubPeer, an online platform that allows readers to comment on published papers, identified by their DOI or other identifier. PubPeer functions as a kind of comment layer over the literature: a place where someone who notices a problem — an apparently duplicated image, an implausible statistic, a method that does not add up — can post their observation for others to see and discuss, often anonymously. Anonymity is a deliberate and important feature, because raising concerns about published work, particularly the work of senior or powerful researchers, can carry real professional risk. PubPeer has become a significant venue where concerns about specific papers are aired, examined and, in many cases, ultimately acted upon by journals and institutions. It has made post-publication scrutiny visible and persistent in a way that scattered private worries never were.

    Research sleuths

    Alongside the platforms is a community of individuals who have become known as research sleuths or integrity investigators: people who systematically examine the published literature for signs of error or misconduct. Some focus on image integrity, developing a practised eye for duplicated, manipulated or reused figures; others look for statistical impossibilities, tortured phrasing characteristic of manipulated text, or patterns suggesting paper-mill production. Their work is often painstaking, frequently voluntary, and sometimes carried out at personal cost. These sleuths have been responsible for surfacing a substantial number of serious problems that formal pre-publication review missed, and their findings — often posted on platforms like PubPeer — have triggered investigations, corrections and retractions. They represent a distributed, motivated form of scrutiny that complements the formal systems, catching things those systems were never designed to catch.

    From concern to correction

    Raising a concern is only the beginning; the question is what happens next. The journey from an observation to a formal change in the record typically runs through several stages:

    • A concern is raised — on a platform such as PubPeer, in a letter to the journal, or directly to an institution.
    • The journal or institution investigates. Editors may issue an expression of concern to flag that a paper is under question while inquiries proceed.
    • A correction is made where the problem is genuine but limited — a corrigendum that fixes the specific error.
    • A retraction is issued where the problems are serious enough to undermine the work’s reliability, formally signalling that the findings should not be relied upon.

    These mechanisms are how the published record is actually changed, and they are the formal counterpart to the informal scrutiny that surfaces the problems in the first place.

    The role of COPE

    The handling of these situations is not improvised; it is guided by established norms. The Committee on Publication Ethics (COPE) provides guidance to editors and publishers on how to respond to concerns about published work — how to investigate fairly, when an expression of concern is appropriate, how to handle corrections, and the proper grounds and process for retraction. This guidance matters because post-publication scrutiny, for all its value, must be handled responsibly: authors are entitled to due process, a concern is not the same as a proven fault, and the record must be changed carefully and transparently rather than reactively. COPE’s frameworks give editors a principled basis for turning a raised concern into a fair and proportionate response.

    Self-correction as a feature, not a failure

    It is worth stating plainly: a retraction or correction is not a sign that science is broken. It is a sign that the self-correcting mechanism is working. The alternative — a literature in which flawed work, once published, can never be challenged or corrected — would be far worse. Post-publication peer review, the platforms that host it, the sleuths who drive much of it, and the editorial processes that turn its findings into formal action are together the visible machinery of a scholarly record that takes its own reliability seriously. The willingness to revisit and correct published work is one of the things that distinguishes a healthy research culture from a complacent one.

    Describing integrity work consistently

    For concerns, investigations, corrections and retractions to be handled and recorded consistently across journals and institutions, the terms involved must mean the same thing everywhere — what counts as an expression of concern, a correction or a retraction, and how each is recorded. That consistency is what the CASRAI Dictionary supports: a shared vocabulary so that the status of a published work is understood identically wherever it appears, which underpins sound research administration. And because scrutiny after publication is itself genuine scholarly contribution, the work of reviewing and correcting can be described in the same framework used for every other — the CRediT taxonomy and its full set of contribution roles. The scholarly record is trustworthy not because it is never wrong, but because it has robust ways of putting itself right.