Welcome back. In the previous lesson, you examined the principles that make research trustworthy: honesty, accuracy, transparency, accountability, and respect. Those principles also help when something goes wrong. An inaccurate result might come from a genuine mistake, an avoidable lapse in care, or a deliberate attempt to mislead. The result alone does not tell you which.
This lesson gives you a way to distinguish honest error, questionable research practice, and research misconduct under a stated policy. You’ll also see why correcting the research record and deciding whether someone should face consequences are related, but separate, questions.
The policy sets the boundary
There is no single definition of research misconduct that governs every organization or discipline. Some policies focus narrowly on fabrication (making up research data or results), falsification (misrepresenting research by manipulating or omitting information), and plagiarism (using another person’s work without appropriate credit). Others also cover serious breaches involving approvals, participants, or conflicts of interest.
Begin with the UK Research Integrity Office’s explanation of these boundaries. Its account is useful because it discusses questionable practices and genuine errors alongside misconduct, rather than treating every problem as fraud.
What is research misconduct? - UK Research Integrity Office
Read the UK Research Integrity Office’s explanation to see how definitions vary and why intent or recklessness matters.
In “What is research misconduct?”, begin with the paragraph starting “Different organisations have differing definitions.” Read the distinctions and examples through the final item in the “Examples of research misconduct include” list. Pay particular attention to the paragraph on questionable research practices and genuine errors before the list.
The image below summarizes the three commonly named forms. It is a quick reference, not a substitute for checking the policy that applies to a particular case.
To make our classifications consistent, we will use this illustrative teaching policy throughout the lesson:
- Research misconduct is deliberate or reckless fabrication, falsification, or plagiarism, or a deliberate or reckless serious breach of essential research approvals or disclosure duties. Reckless here means recognizing a substantial risk of serious misrepresentation or breach and disregarding it.
- A questionable research practice is conduct that falls below expected standards but does not meet that misconduct threshold. It includes avoidable errors and careless shortcuts.
- An honest error is a mistake made despite reasonable care, without an attempt to mislead, and addressed openly once discovered. A reasonable disagreement about methods or interpretation is not, by itself, an error or a breach.
This three-part distinction is a tool for this lesson, not a universal set of labels. As the UK Research Integrity Office notes, some frameworks use questionable research practice broadly enough to include errors. In a real case, you would use the applicable organization’s and funder’s definitions rather than assume ours applies.
Why a spectrum still needs careful distinctions
Research is done by people who can misunderstand instructions, miss a problem in a dataset, or work under pressure. It would be a mistake to equate every imperfect result with misconduct. It would also be a mistake to assume that a practice is harmless merely because no one invented data.
Read the short UK Research Integrity Office discussion below. It presents problematic practices as a spectrum, while also explaining why legitimate disagreements should not be mistaken for wrongdoing.
Questionable Research Practices
Read this guide for its spectrum of research problems and its distinction between a correctable disagreement and a practice that needs intervention.
On p. 1, under “Defining the spectrum of Questionable Research Practices (QRPs),” begin with the paragraph starting “Research is a human activity.” Follow the spectrum discussion through the paragraphs following Figure 1 on p. 2; focus on why different problems call for different safeguards. Then, on p. 3 under “The difference between QRPs and legitimate disagreement,” read the disagreement discussion. Notice the difference between considering a criticism and concealing a known mistake.
A spectrum helps explain how practice can deteriorate. Someone might initially make a mistake, then fail to check it, then discover it and decide to hide it. Those are not all the same action. What the researcher knew and did at each point matters. So does the policy: it specifies which conduct crosses its misconduct threshold.
Nor does pressure settle the classification. A deadline may help explain why a check was missed; it does not turn a deliberate false report into an honest error. Similarly, a surprising result or a strong disagreement between researchers is not evidence that either has falsified anything. Classification requires evidence about the conduct, not just a judgment about whether the conclusion seems right.
Classifying what happened, not just what resulted
Return to the study of two versions of written instructions from the previous lesson. Suppose the researchers’ spreadsheet is missing five responses, and adding them would change the reported comparison. Consider three different accounts of how that happened.
First account: honest error. A spreadsheet import unexpectedly dropped the five responses despite the team’s reasonable checks. A researcher discovers this later, preserves the original files, informs the team, and helps correct the result. Under our teaching policy, the omission is an honest error. The published finding may still need a substantial correction or, if it cannot stand, withdrawal. A serious effect on the result does not by itself prove misconduct.
Second account: questionable practice. The team had a routine check for matching imported responses against the originals, but a researcher skipped it to save time. They did not know responses were missing and had not recognized a substantial risk of serious misrepresentation. The avoidable lapse falls below expected standards, so under our policy it is a questionable research practice. The record still needs correction; the team may also need training or a stronger checking process. If evidence instead showed that the researcher did recognize and disregard a substantial risk, the recklessness provision would need closer examination.
Third account: misconduct. A researcher notices the five missing responses, realizes their inclusion would weaken the preferred conclusion, and reports that all responses were analyzed. Under our policy, the deliberate omission creates a false account of the research and is falsification. Correcting the result is necessary, but so is a fair assessment of the conduct. An allegation does not become a finding simply because the account sounds plausible; the evidence must be examined.
Now imagine you know only that five responses are absent. You cannot yet assign one of the three labels confidently. You would need to establish what the original records show, what checks were expected, when the omission became known, how it was described, and which policy applies. This is why preserving records and avoiding premature accusations matter.
A compact way to reason through a concern is to ask:
- What standard applies? Identify the relevant policy and expected practice.
- What happened, and what is the evidence? Separate the observable problem from assumptions about its cause.
- What did the person know and do? Consider reasonable care, avoidable negligence, deliberate action, or recklessness as the policy defines it.
- What needs to be put right? Assess the research record and any effects on participants or others, independently of any decision about blame.
Correction and consequences are different questions
When a finding is unreliable, the first obligation is to prevent others from continuing to rely on it incorrectly. Depending on the stage and seriousness of the problem, that might mean fixing an analysis before publication, notifying collaborators or an editor, publishing a correction, or retracting a publication that cannot be supported. An honest error can warrant a retraction; a retraction does not, by itself, establish misconduct.
Responses to conduct differ. An honest error may call for an explanation and better checks. A questionable practice may call for supervision, training, revised procedures, or other proportionate action. A substantiated misconduct finding can lead to institutional disciplinary action and notification of relevant journals or funders. Consequences also reach beyond the researcher: collaborators may have to repair work built on the result, participants may be affected, and trust in research can be damaged. The particular response depends on the policy, the evidence, the seriousness of the conduct, and its effects.
The UK Research Integrity Office describes how an organization may assess and investigate a concern. Read this final section with one distinction in mind: investigating what happened is not the same as imposing a disciplinary penalty.
What is research misconduct? - UK Research Integrity Office
Return to the UK Research Integrity Office guide to understand how concerns may be assessed fairly and how an investigation can lead to correction of the record.
Under “How are research misconduct allegations dealt with?”, begin with the paragraph starting “Most universities and other employers of researchers.” Continue into “What is involved in a research misconduct investigation?” and read the process and outcomes. Stop after the bullet describing action when an allegation has no substance. Focus on initial assessment, the opportunity for the person accused to respond, the investigation’s findings, and actions concerning both the person and the research record.
Fair process protects everyone involved. A concern may be mistaken; an allegation requires assessment, and the person whose conduct is questioned should have an opportunity to respond. If misconduct is established, disciplinary proceedings may follow separately. If it is not established, a flawed result may still require correction—and an unsupported allegation should not be treated as a proven finding.
Conclusion
To classify a research problem, start with the stated policy, then examine the evidence about the action and the researcher’s knowledge—not merely the outcome. Under the policy used here, an honest error occurs despite reasonable care; a questionable practice falls below expected standards without meeting the misconduct threshold; and deliberate or reckless conduct of the specified kinds can constitute misconduct. Where the facts are incomplete, the responsible conclusion is that classification remains open.
Whatever the category, ask separately how to make the research record reliable and what response to the conduct is justified. In the next lesson, you’ll look at record-keeping practices that make those questions easier to answer by preserving where data came from, what changed, and why.