Scientific misconduct - investigators are on a hamster-wheel chasing metrics and no wonder this breeds rampant misconduct BUT .. Who can stem this tide? Does the responsibility lie with institutions, funders, journals or a collective? The article linked in comments explores this problem that has grown to a mammoth scale in the present day, with respect to the infamous case of superconductivity studies that were flagged recently. In my opinion: - Institutions are often as wound up as investigators in chasing metrics as it benefits their rankings, funding and general scientific clout. - Accordingly, they may fail to adequately investigate or report misconduct even when it has been flagged. - Unless there can be higher quality control from the end of funders and country-specific policymakers. - Retractions can be due to many reasons. There are several cases of investigators who identify problems with the outcomes of their previous studies e.g., due to an oversight or inadvertent errors that cannot be fixed with an erratum and self retract it. Self-retractions in such cases demonstrate integrity that should be viewed in a positive light. - Journals must consider a more pro-active role in investigating misconduct if they suspect it is not being adequately done at the institutional end. At the very least they must report concerns to funders who can then make it imperative for institutions to do due diligence. - As often repeated the rat-race for metrics will only hurt science. Easier said than done but we need more mature institutional and funder policies that focus on science and not the glamour chasing business of numbers. Finally, the negative connotation and implications from retractions made when investigators, institutions or funding bodies follow rigorous standards should NOT be penalised. Afterall there is “nothing to be ashamed of in preserving the integrity of the scientific record” #research #ethics #scientificintegrity
Couldn't agree more. Would just like to add, negative results often treated as less important and mostly allotted space in the supplementary data section of a manuscript. Negative results are equally important as they save time and resources for others pursuing the same line of reasoning. Furthermore such results can help to disprove a hypothesis, thereby creating room for a new hypothesis.
Scientist (PI) | Researcher in human genetics and disease mechanisms | integrating research, academic and teaching experiences into improved inclusivity, productivity & work life equilibrium | Twitter @PUpadhyai
7mohttps://www.nature.com/articles/d41586-024-01174-6