Plagiarism, authorship, research ethics, open data, preregistration and transparent science.
Research Integrity & Open Science
A visiting team samples for two weeks, local colleagues handle permits and fieldwork, and the paper appears with them in the acknowledgements. How to build fair
Research Integrity & Open Science
A “Smith (1998) found” copied from someone else’s paper can carry their mistake for twenty years. How to cite honestly when you cannot get the original, check c
Research Integrity & Open Science
Public posts, closed groups, strangers’ comments: how to collect and quote social media data ethically, when you need approval, and why a verbatim quote can ide
Research Integrity & Open Science
A message offers third-author position on a paper “about to be accepted” in an indexed journal. How paper mills operate, why their products get caught, and the
Research Integrity & Open Science
Three years on, a journal asks for the raw data behind Figure 4 and you have changed laptops twice. What to record, paper or electronic notebooks, and how long
Research Integrity & Open Science
The numbers in your group’s paper do not match the raw data. Staying silent feels wrong; speaking up feels risky. How to separate error from misconduct, choose
Research Integrity & Open Science
Accepting a review invitation means holding unpublished work in confidence. When to decline, how to involve a PhD student properly, and the things a reviewer mu
Research Integrity & Open Science
A reviewer wants seven papers by the same author, or an editor nudges you to cite the journal: how to recognise coercive citation, citation cartels and excessiv
Research Integrity & Open Science
Splitting one survey into three papers, republishing a paper in another language, reusing old data: where legitimate use of a dataset ends and redundant publica
Research Integrity & Open Science
Can you boost contrast on a faint blot? Splice lanes from two gels? A practical classification of image edits that are fine, edits you must declare and edits th
Research Integrity & Open Science
Many researchers hold back code because it looks messy. Code that runs, with a README, a licence and a DOI, is enough for others to verify your work. How to pac
Research Integrity & Open Science
Most p-hacking comes not from fraud but from small choices that seem reasonable on their own: a few more participants, one variable dropped, a different outlier
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