| Literature DB >> 35720652 |
Abstract
Science and science reporting are under threat. Knowingly or not, researchers and clinicians are part of this debacle. This is not due so much to the notorious replication crisis, as to our acceptance of lowering common morality for personal gains, including the widespread, deprecable phenomenon of predatory publishing. Rather than fiercefully countering this loathsome practice, academics are accepting, often supporting a masquerade solution: paying several thousand dollars to publish for all their own papers. This new policy will create a disparity across richer and poorer disciplines; will result in concentrating even more in the hands of large, rich, Western institutions, also penalising younger researchers; will kill observational studies and exploratory research; and will make disseminating science depending more on finances than on quality. This article calls for the full awareness of the academic community on the risks of the current situation in scientific publishing.Entities:
Keywords: Integrity; Open Access Publishing; Plan-S; Predatory Publishers; Scientific Publishing
Year: 2022 PMID: 35720652 PMCID: PMC9173789 DOI: 10.1590/1980-5764-DN-2022-V001
Source DB: PubMed Journal: Dement Neuropsychol ISSN: 1980-5764
Common unwise practice that should be avoided in reporting scientific data.
| Bad practice/misconduct | Description |
|---|---|
| p-hacking | Fishing for statistically significant results, massaging the data, cherry-picking them, or adding unplanned participants or data points to rich statistical significance |
| HARKing | Hypothesising after results are known. Writing the introduction and spelling out the study predictions after the data have been collected |
| Low statistical power | Not collecting enough data, or dispersing them in salami publications, favouring quantity of papers over their quality |
| Ignoring the effects of different analyses | Not being aware that little differences in scoring, pre-processing, analysing the data result in large conclusions differences |
| Lacking definitions | Assuming common understanding of terms or concepts |
| Framing study within loose assumptions | Lack of appreciation of the difference between intuitive hunches and a sound path between predictions and outcome |
| Pushing for novelty | Considering replications as mundane and wanting in intellectual adroitness |
| Knowingly publishing poor data | Influencing appointments, promotions and workload with quantity, rather than quality |
| Publication bias | Hiding, rejecting or not attempting to publishing null results or negative findings |
| Not data sharing | Being secretive about one’s own data due to fear of being caught wrong |
| Statistical fallacies | Using easy statistics rather than proper statistics |
| Not retracting | Unearthing errors and not retracting the paper in fear of public shame |
| Owning findings | Failing to appreciate that once published, findings belong to the community; criticisms are raised to results and not to authors (unless fraudulent). Verifications should be welcome |
| Plagiarism | Lifting material from available literature without proper citation, including rephrasing, translating from a foreign text and reproducing own material (self-plagiarism) |
| Misappropriation | Mentioning someone else’s ideas without the appropriate acknowledgement via citation of the original work |
| Misleading | Exaggerating the reach of the study, e.g. by gilding the titles of the paper, spuriously widening its real claims |
| Hiding conflicts | Not declaring possible conflicts of interests of authors or sponsors |
Figure 1.The cover illustration of Cortex, vol. 90, May 2017, drawn by Dario Battisti, depicting “The circus of predatory publishing.” Available from: https://www.sciencedirect.com/science/article/pii/S0010945217301090. Accessed on: Jan 18, 2022.