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Enregistrement W1481948312 · doi:10.1111/j.1478-3231.2008.01753.x

Cheating in scientific publishing: the scourge must stop!

2008· article· en· W1481948312 sur OpenAlexaboutno aff
Samuel S. Lee

Notice bibliographique

RevueLiver International · 2008
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueAcademic integrity and plagiarism
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCheatingPublishingThe InternetScientific publishingInternet privacyPolitical sciencePsychologyLawComputer scienceWorld Wide WebSocial psychology

Résumé

récupéré en direct d'OpenAlex

I opine it isn't moral For a writer-man to cheat, And despicable to wear a laurel As was gotten by deceit Here's a message to those who would cheat in one form or another in the publishing world: Hey, wake up! We are living in the 21st century, in the electronic age, and the scientific world has indeed turned into the ‘global village’ envisioned by the Canadian writer/visionary Marshall McLuhan almost five decades ago. While it may have been possible, even probable, to get away with cheating activities such as duplicate publication and plagiarism many decades ago, in today's internet age, with the wide availability of search engines for publications, cheating seems incomprehensible, pointless and stupid. It is almost certain to be detected, and usually very quickly. Despite this, cheating continues. A PubMed search using the term ‘duplicate publication’ generated approximately 1300 citations, many of these notices of duplicate publication. A 2005 anonymous survey of more than 3000 American NIH-funded researchers, found that 1.4% admitted to plagiarism and 4.7% to duplicate publication (1)! Recently, a vigilant reader notified us that a Liver International letter by Fang S. H. and colleagues (2) was a duplicate publication (3). Examining the dates of submission of both items, it became clear that they had been simultaneously submitted. When confronted, the authors replied, somewhat disingenuously, that they thought that a ‘Letter to the Editor’ was ‘informal format and was not a paper’. Adding to the egregiousness, their report had been selected as the cover image for that issue of our journal. Several months ago, an even more insidious attempt at multiple publication was thwarted by the vigilance of Hartmut Jaeschke, an Associate Editor handling a manuscript by S. L. Yang, F. Hong and Y. J. Lou, from Nanchang and Hangzhou, China. A PubMed search followed by reading the papers revealed that Yang and Lou, by themselves or with assorted coauthors, had already published essentially the same work three times in 2007 (Biochem Pharmacol 2007; 73: 724–35. J Surg Res 2007; 140: 36–44. Pharmacology 2007; 80: 11–20). Simply reading the abstracts of these papers and the submitted manuscript failed to detect the cheating – they were worded sufficiently differently. However, on closely reading the papers, it became clear that the same body of work had been cleverly ‘disguised’ and presented slightly differently. There are types of ‘duplicate publication’ which are not so clear-cut. As an international journal, we are occasionally faced with an English-language manuscript reporting material some or all of which has been previously published in another language by the same authors. Is this truly duplicate publication? The answer, with a nod to the ‘global village’, is again ‘yes’. This issue has been thoughtfully addressed by Farrell (4) in a recent commentary, and we agree with his view that the English-language manuscript must differ from the ‘version originale’ by at least two-thirds or it will be rejected as a duplicate. We also recently rejected a manuscript which overlapped somewhat with a previous ‘Letter to the Editor’ by the same authors. The authors had no malicious intent as they cited their previous letter. The submitted full paper showed some of the same data but added much more. However, on careful inspection, it appeared that approximately a third of the work had already been reported in the letter and the increment in new knowledge provided by the remainder was not sufficient to warrant publication (due to a large increase in submissions over the past year, our rejection rates have significantly increased). It was rather unfortunate that the authors had chosen to report their preliminary data in a letter, as it is likely that the overall complete study, if previously unpublished, would have been accepted for publication. This sad story raises the issue of another prevalent practice, which while not unethical is certainly inappropriate and a bane of journals: the ‘least publishable unit’ (LPU) method. This refers to the practice of doing a study and then splitting it into several small papers instead of a single large manuscript. Thus in the ‘publish or perish’ academic world, it increases the authors' ‘paper count’. We, like all other journals, strongly discourage this practice and urge you to submit a single, complete paper rather than less-impactful LPU papers. In other words, quality should trump quantity. As more academic centres and research-granting agencies now ask for a small number of the most significant papers rather than a simple list of total publications for promotion or grant applications, the LPU practice will hopefully diminish. I have not directly addressed the plagiarism issue in this editorial, but this is as unethical and unacceptable as multiple publication. What can be done to reduce or eliminate these scourges of the publication process? Most reputable journals have policies in place to punish the guilty. At Liver International, culprits will suffer the following consequences: (i) the other journal (or other authors in cases of plagiarism) will be notified. (ii) the dean or head of the authors' institutions will be notified. (iii) authors will be proscribed from submitting manuscripts to Liver International for 3 years. How can we improve our ability to catch the culprits? Of course we are grateful to our readers for alerting us to instances of wrongdoing, but we hope to detect cheating before it appears in print. In that respect, there are several software programs that detect multiple publication and plagiarism in the literature. Two such programs have been made available as ‘freeware’ (without charge) by the UT-Southwestern group (5). These programs look for text similarity in the abstract as well as the body of the paper. etblast, an automated citation matching tool, and Déjà vu, the duplicate citation database, are available at http://invention.swmed.edu/ and http://spore.swmed.edu/dejavu. Cheaters beware – and stay away from Liver International!

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,079
score de la tête « metaresearch » (Gemma)0,258
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Intégrité de la recherche
Catégories consensuellesaucune
DomaineSignal candidat: Méthodes · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,977
Score d'incertitude au seuil0,417

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0790,258
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0030,002
Bibliométrie0,0040,006
Études des sciences et des technologies0,0190,041
Communication savante0,0500,045
Science ouverte0,0040,017
Intégrité de la recherche0,0230,038
Charge utile insuffisante (le modèle a refusé de juger)0,0190,022

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,066
Tête enseignante GPT0,307
Écart entre enseignants0,241 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeSans objet
DomaineMéthodes
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2008
Routes d'admission1
Résumé présentoui

Explorer davantage

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