CASRAI Dictionary

Tag: publication ethics

  • Self-Plagiarism, Text Recycling and Duplicate Publication

    Self-plagiarism is the reuse of your own previously published words, data or ideas in a new work without disclosure or citation, in a way that misrepresents the new material as original. It spans a spectrum from minor text recycling — reusing passages of one’s own writing — to duplicate publication, the most serious form, where substantially the same study is published more than once.

    The issue is not that reusing your own work is forbidden. Researchers legitimately build on their prior contributions. The problem arises when reuse is undisclosed, so readers, editors and the literature are misled about what is new.

    A spectrum, not a single offence

    These overlapping terms describe behaviours of differing severity, and treating them as one blurs an important distinction.

    Term What it describes Typical severity
    Text recycling Reusing one’s own previously published text (e.g. methods passages) Context-dependent; sometimes acceptable
    Redundant / salami publication Slicing one study into multiple thin papers Inflates output; misconduct if undisclosed
    Duplicate publication Publishing substantially the same work twice Serious misconduct

    Because severity varies, editors assess each case on its facts rather than applying a blanket rule — an approach reflected in research integrity practice generally.

    Why undisclosed reuse is a problem

    Duplicate and redundant publication distort the record in concrete ways. They can over-count a single piece of evidence — a particular risk in systematic reviews and meta-analyses, where the same dataset counted twice silently inflates apparent support for a finding. They can also misrepresent productivity and waste reviewers’ and readers’ time. Undisclosed reuse therefore undermines the verifiability and credit functions that citation exists to protect, which is why it sits within the family of plagiarism-related concerns.

    COPE guidance and the role of disclosure

    The Committee on Publication Ethics (COPE) provides guidance that editors widely follow on text recycling, redundant publication and overlapping submissions. The consistent theme of that guidance is transparency: reuse that is disclosed, cited and permitted is handled very differently from reuse that is concealed. COPE has developed dedicated guidance on text recycling that distinguishes recycling in different parts of a manuscript and at different stages of publication, recognising that some recycling — particularly in methods — can be legitimate when acknowledged.

    The practical implication is that disclosure converts a potential problem into a manageable, ethical practice. Concealment is what turns reuse into misconduct.

    Acceptable reuse versus misconduct

    The line is drawn by disclosure, permission and proportion, not by the mere fact of overlap.

    • Often acceptable: reusing standardised methods descriptions where wording is necessarily similar, provided the source is cited; building a new analysis on previously published data with a clear citation; reusing material in a thesis later developed into articles, where disclosed.
    • Generally misconduct: publishing the same findings in two journals without telling either editor; presenting recycled text as new without citation; splitting one study into several papers to inflate a publication count.

    Copyright adds a further dimension: even your own published text may be owned by a publisher, so reusing it can require permission as well as citation.

    How to disclose and cite your own prior work

    Handling reuse correctly is straightforward when approached deliberately:

    • Cite yourself. Treat your earlier publications exactly as you would another author’s — with a full in-text citation and reference entry.
    • Disclose to the editor. Tell the editor at submission about any overlapping or related work, including manuscripts under review elsewhere, and supply copies if asked.
    • Use an unambiguous identifier. Link your works through an ORCID iD so your own output is reliably attributed to you and easy to trace.
    • Quote and mark recycled passages. Where you reuse your own wording, signal it and cite the original rather than presenting it as new.
    • Check permissions. Confirm whether copyright permits reuse of the specific material.

    These habits sit alongside good authorship practice and the general guidance in our resources for authors.

    Frequently asked questions

    Is self-plagiarism really plagiarism?

    It is a related form of research-integrity concern. The mechanism differs from copying another author — you are reusing your own work — but the harm is similar: undisclosed reuse misleads readers about what is original. Disclosure and citation are what keep reuse legitimate.

    Can I reuse my own methods section?

    Often yes, when the wording is necessarily similar and you cite the original publication. COPE’s text-recycling guidance recognises that some recycling, particularly in methods, can be acceptable when disclosed. Reusing results or conclusions as if new is a different matter and generally not acceptable.

    What is the difference between redundant and duplicate publication?

    Redundant (or salami) publication slices one study into several overlapping papers, while duplicate publication republishes substantially the same work. Both distort the record when undisclosed; duplicate publication is generally treated as the more serious breach.

    How should I disclose overlap with my earlier work?

    Cite your prior publications in the manuscript, inform the editor of any related or overlapping work at submission, and provide copies if requested. Consult the CASRAI dictionary for standardised definitions of these terms.

  • 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.