Introduction: Protecting Research Integrity Starts Before Peer Review
Peer review is an essential part of scholarly publishing, but research integrity checks should begin before a manuscript reaches reviewers. Journals receive submissions from researchers with different academic backgrounds, institutions, career stages, and levels of publishing experience. Before initiating peer review, editorial teams must determine whether a submission meets the journal’s basic requirements, contains the necessary declarations, and presents any concerns that need clarification.
This early assessment can identify issues such as missing ethics approvals, incomplete author disclosures, questionable references, image irregularities, duplicate submissions, and potential conflicts of interest. Addressing these concerns early can save editorial time and protect the credibility of the publication.
However, identifying a potential risk is not the same as proving misconduct. An unusual writing style does not establish plagiarism. An author affiliation that cannot immediately be verified does not automatically indicate fraud. A missing declaration may reflect an oversight rather than deliberate concealment.
The challenge for journal editors is to identify genuine research integrity concerns without allowing automated flags, incomplete information, or subjective judgments to unfairly disadvantage authors.
A structured, transparent, and proportionate pre-peer-review screening process can help journals protect publication standards while treating researchers fairly.
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What Is Pre-Peer-Review Research Integrity Screening?
Pre-peer-review screening is the initial assessment a journal conducts after receiving a manuscript and before sending it for external peer review. It typically combines administrative checks, scope assessment, ethical compliance checks, and preliminary research integrity reviews.
The precise process varies according to the journal’s discipline, editorial policies, and publication model. A clinical research paper may require closer examination of ethics approval, trial registration, and participant consent. A computational study may require information about data availability, methods, and reproducibility. A humanities article may need careful assessment of source attribution and permissions.
The purpose is not to replace peer review or independently prove every scientific claim. Instead, screening helps determine whether the manuscript is sufficiently complete, appropriately documented, and suitable to proceed—or whether additional information or specialist assessment is needed.
When concerns arise, journals should distinguish between routine administrative deficiencies, matters requiring clarification, and serious issues that warrant formal investigation.
Why Early Research Integrity Checks Matter
1. Identifying Ethical and Compliance Gaps
Some manuscripts require ethics committee approval, informed consent, clinical trial registration, permissions, or specific disclosures. If these elements are missing, editors may be unable to determine whether the research meets the relevant requirements.
Early screening allows the journal to request clarification before reviewers invest time assessing the manuscript.
Importantly, requirements should be applied according to the type of research and the journal’s stated policy. Not every study requires the same approvals, and the absence of a particular declaration should not automatically be interpreted as evidence of misconduct.
2. Reducing Avoidable Editorial Work
Incomplete author information, missing supplementary files, incorrect references, and absent declarations can create repeated correspondence between authors and editorial staff.
A standardized screening checklist helps identify these issues early and allows several routine corrections to be requested together. This improves efficiency while giving authors a clear understanding of what is needed.
3. Protecting Reviewers and the Scholarly Record
Peer reviewers volunteer time and expertise to evaluate research. Sending manuscripts with unresolved ethical concerns or serious documentation gaps can waste those resources.
Early screening also helps journals identify potential problems before publication decisions are made. This does not mean every concern must be resolved before any expert assessment can begin; rather, editors should determine which issues are essential prerequisites and which require specialist evaluation.
4. Supporting Fair and Consistent Editorial Decisions
Without defined procedures, similar submissions may be handled differently depending on which editor reviews them. One author may receive an opportunity to correct a missing declaration, while another may face rejection for the same administrative issue.
Documented criteria and consistent escalation procedures help reduce this variation. They also make editorial decisions easier to explain and review.
Common Submission Risks Journals Should Assess
Missing or Incomplete Ethics Declarations
Research involving human participants, animals, sensitive personal information, or other regulated activities may require specific ethical safeguards and documentation.
Editors should check whether the manuscript includes the declarations required by the journal and whether the stated information is appropriate for the research described. Where necessary, they may request ethics approval details, consent statements, trial registration information, or an explanation of why approval was not required.
The absence of a statement is a reason to seek clarification, not automatically proof that ethical approval was deliberately avoided.
Plagiarism and Inappropriate Text Reuse
Similarity-checking software can help identify text that matches previously published material, including articles, theses, websites, and other sources.
However, similarity scores require interpretation. Common terminology, standard methods descriptions, properly quoted material, and references may contribute to a high score without demonstrating plagiarism. Conversely, unattributed ideas or heavily paraphrased material may not produce a high similarity score.
Editors should examine the matched passages, their sources, the context in which they appear, and the journal’s policy. Reuse of an author’s own previously published text may also require contextual assessment rather than an automatic conclusion.
A similarity report should therefore serve as an investigative aid, not a standalone verdict.
Questionable or Incomplete Citations
References should be checked for basic accuracy and relevance. Potential concerns include citations that cannot be located, incorrect publication details, references that do not support the associated claims, and unusual citation patterns.
Automated reference tools can help identify missing metadata, invalid identifiers, or inconsistencies. Editors may need to examine important references manually, especially when they support central claims or conclusions.
A citation error may result from formatting problems, incomplete records, or an honest mistake. More serious patterns may justify further inquiry, but the evidence should be assessed before drawing conclusions.
Image and Data Irregularities
Figures, images, and datasets can contain errors that warrant closer review. Examples include apparent image duplication, inconsistent labels, unexpected similarities between figures, or discrepancies between the methods and reported results.
Specialized image analysis tools may help identify patterns that deserve investigation. Yet legitimate images can contain similar structures, and certain image-processing operations may be acceptable when properly disclosed and permitted by the journal.
A flagged image is not conclusive evidence of manipulation. Editors should review the original material where available, request relevant source files or explanations, and seek specialist input when needed.
Authorship and Affiliation Concerns
Changes in authorship, unclear contributor roles, inconsistent affiliations, or missing conflict-of-interest disclosures can create questions about accountability and transparency.
Journals should follow established authorship and contributor policies and request clarification when information is incomplete or inconsistent. Author identity and affiliation checks should use appropriate, reliable sources and should account for legitimate variations in names, institutional structures, and career circumstances.
A lack of an online research profile or limited publication history should not, by itself, be treated as evidence of misconduct. Researchers may be early in their careers, working in underrepresented institutions, or publishing in a new field.
Duplicate or Concurrent Submissions
Submitting substantially the same manuscript to multiple journals at the same time may violate journal policies. Previously published material may also raise questions about duplicate publication or redundant reporting.
Editors can compare the submission with relevant publications and request clarification about overlapping work. However, legitimate follow-up studies, preprints, conference papers, translations, and related manuscripts must be evaluated according to the journal’s policies and the nature of the overlap.
The important question is whether the relationship between the submissions or publications has been disclosed and handled appropriately.
Building a Fair Pre-Peer-Review Screening Workflow
Step 1: Start With a Standardized Checklist
A consistent checklist gives editorial staff a clear starting point for each submission.
Depending on the journal, it may cover manuscript completeness, scope, authorship details, ethics statements, conflict-of-interest disclosures, funding information, data availability, reference integrity, permissions, and required supplementary files.
The checklist should distinguish mandatory requirements from items that apply only to particular research types. This avoids treating every manuscript as if it carries the same ethical and technical obligations.
A standardized process also reduces dependence on individual judgment for routine administrative checks.
Step 2: Use Automated Tools as Decision Support
Automation can assist with similarity checking, reference validation, metadata verification, image screening, and the identification of missing declarations.
These tools are most useful when they help editors focus their attention on specific, explainable concerns. A report should identify what was flagged and why, rather than simply labeling a manuscript as suspicious.
Journals should understand the limitations of their tools, including the possibility of false positives, false negatives, incomplete databases, and unreliable results in certain languages or document formats.
No consequential decision should depend solely on an unexplained algorithmic score.
Step 3: Classify Concerns by Severity
Not all issues require the same response. A practical workflow can distinguish among three broad categories.
Routine corrections: Missing files, formatting issues, incomplete metadata, or a declaration that needs to be added.
Clarification required: Unclear ethics information, questionable citations, unexplained text overlap, or inconsistencies in author contributions.
Serious concerns requiring further assessment: Evidence suggesting possible unauthorized image alteration, substantial unattributed copying, conflicting ethics documentation, or other potentially significant breaches of publication policy.
These categories should guide the next step rather than determine the final outcome automatically. A serious concern may need expert assessment, while an initially minor issue may become more significant if the explanation is inconsistent with the evidence.
Step 4: Give Authors an Opportunity to Respond
When a concern can reasonably be clarified, journals should communicate it clearly and professionally. Authors should understand which information is missing, what evidence or explanation is requested, and the expected response timeframe.
For example, instead of stating that a manuscript has suspicious ethics information, an editor can identify the specific inconsistency and request the relevant approval details or an explanation of the applicable exemption.
The request should be proportionate to the concern. Journals should avoid demanding unnecessary personal information or confidential research materials that are not relevant to the assessment.
Giving authors an opportunity to respond can resolve misunderstandings and prevent avoidable rejections.
Step 5: Escalate Complex Cases Appropriately
Some cases cannot be resolved through routine editorial correspondence. Depending on the concern, the journal may need input from an ethics editor, research integrity specialist, statistical reviewer, image specialist, or the publisher’s research integrity team.
Where appropriate and consistent with applicable policies, journals may also need to communicate with the relevant institution or organization. Such steps should be handled carefully, with due attention to confidentiality, procedural fairness, and the seriousness of the evidence.
Editors should document the basis for escalation and avoid presenting unverified allegations as established facts.
Step 6: Record Decisions and Apply Policies Consistently
A reliable screening process should record the concern, the evidence reviewed, any author response, the relevant policy, and the rationale for the decision.
This documentation helps maintain consistency across editors and supports internal review if an author challenges a decision.
Journals should periodically examine how screening decisions are made, whether similar cases receive similar treatment, and whether their procedures create unnecessary barriers for particular groups of authors.
Preventing Unfair Rejection and Bias
Fairness is not separate from research integrity. It is an essential part of making credible editorial decisions.
Avoid Treating AI Detection as Proof of Misconduct
AI-writing detectors may incorrectly flag human-written text or fail to identify AI-assisted content. Results can be influenced by writing style, language proficiency, editing, and the characteristics of the tool.
A detector result should not independently establish misconduct. If a journal has concerns about AI use, it should assess the manuscript against its stated policy, consider relevant disclosures, and request clarification when appropriate.
The focus should remain on the integrity of the submitted work and compliance with publication requirements, not on assumptions about an author’s writing style.
Consider Language and Regional Differences
Authors may use different academic conventions, spelling systems, transliteration methods, or institutional naming formats. Researchers writing in a second language may also use repetitive phrasing or standard expressions that resemble text found in other publications.
These characteristics are not evidence of research misconduct. Editors should assess the substance of a concern and distinguish language-editing needs from integrity issues.
Where a manuscript meets the journal’s requirements for research quality but needs language improvement, editorial assistance or revision may be more appropriate than rejection on integrity grounds.
Do Not Confuse Limited Visibility With Lack of Credibility
A researcher may have few publications, a limited digital footprint, or an affiliation that is difficult to verify through a quick online search. These circumstances can justify a proportionate request for clarification when relevant, but they do not independently establish that a submission is fraudulent.
Editorial decisions should rely on relevant evidence, transparent criteria, and the journal’s stated requirements rather than institutional prestige, geographic assumptions, or publication history alone.
Make Decisions Proportionate to the Evidence
The response to a concern should reflect its seriousness and the strength of the available evidence. An incomplete declaration may call for correction; an ambiguous citation may require verification; and a substantial, well-supported concern may warrant formal investigation.
A clear distinction between suspicion, unresolved uncertainty, and established findings helps journals avoid premature conclusions.
Measuring the Effectiveness of Screening
Journals should evaluate whether their screening process protects integrity without creating unnecessary delays or unfair barriers.
Useful measures may include the frequency of administrative returns, the time required to resolve queries, the number of cases escalated for specialist review, and the types of concerns identified before peer review. Journals can also review author complaints, overturned decisions, and recurring sources of false positives.
These measures should be interpreted carefully. A high number of flagged manuscripts does not necessarily mean a screening system is effective, and a low number of flags does not prove that integrity risks are being detected successfully.
Periodic review can reveal where policies need clarification, tools need adjustment, or editorial staff would benefit from additional training.
The Future of Research Integrity Screening
As scholarly publishing evolves, journals will increasingly combine editorial expertise with automated tools, structured submission systems, and more consistent integrity procedures.
The strongest systems will not attempt to eliminate every uncertainty before peer review. Instead, they will identify meaningful risks, distinguish evidence from suspicion, and direct each concern to the appropriate person or process.
Transparent policies, proportionate checks, human oversight, and documented decisions will remain essential. Technology can make screening more efficient, but fairness depends on how journals interpret its results and treat the people behind each submission.
Conclusion
Research integrity screening before peer review helps journals identify missing documentation, potential ethical concerns, citation problems, and other submission risks before committing resources to external evaluation.
However, effective screening requires more than automated checks or rigid rejection rules. It depends on consistent criteria, reliable evidence, appropriate specialist review, and a fair opportunity for authors to clarify concerns.
By combining structured workflows with human judgment and transparent decision-making, journals can protect the scholarly record while avoiding unnecessary rejection of legitimate research.
The goal of pre-peer-review screening is not to assume misconduct. It is to identify concerns responsibly, resolve them fairly, and ensure that editorial decisions are guided by evidence rather than suspicion.