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Modelling Science Trustworthiness Under Publish Or Perish Pressure

dc.contributor.authorGrimes, David Robert
dc.contributor.authorBauch, Chris T.
dc.contributor.authorIoannidis, John P. A.
dc.date.accessioned2018-04-18T20:30:33Z
dc.date.available2018-04-18T20:30:33Z
dc.date.issued2018-01-01
dc.description.abstractScientific publication is immensely important to the scientific endeavour. There is, however, concern that rewarding scientists chiefly on publication creates a perverse incentive, allowing careless and fraudulent conduct to thrive, compounded by the predisposition of top-tier journals towards novel, positive findings rather than investigations confirming null hypothesis. This potentially compounds a reproducibility crisis in several fields, and risks undermining science and public trust in scientific findings. To date, there has been comparatively little modelling on factors that influence science trustworthiness, despite the importance of quantifying the problem. We present a simple phenomenological model with cohorts of diligent, careless and unethical scientists, with funding allocated by published outputs. This analysis suggests that trustworthiness of published science in a given field is influenced by false positive rate, and pressures for positive results. We find decreasing available funding has negative consequences for resulting trustworthiness, and examine strategies to combat propagation of irreproducible science.en
dc.identifier.urihttp://dx.doi.org/10.1098/rsos.171511
dc.identifier.urihttp://hdl.handle.net/10012/13117
dc.language.isoenen
dc.publisherRoyal Society, Theen
dc.rightsAttribution 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subjectresearch ethicsen
dc.subjectresearch frauden
dc.subjectscience trustworthinessen
dc.subjectpublic trust in scienceen
dc.subjectpublish or perishen
dc.titleModelling Science Trustworthiness Under Publish Or Perish Pressureen
dc.typeArticleen
dcterms.bibliographicCitationGrimes, D. R., Bauch, C. T., & Ioannidis, J. P. A. (2018). Modelling science trustworthiness under publish or perish pressure. Royal Society Open Science, 5(1), 171511. https://doi.org/10.1098/rsos.171511en
uws.contributor.affiliation1Faculty of Mathematicsen
uws.contributor.affiliation2Applied Mathematicsen
uws.peerReviewStatusRevieweden
uws.scholarLevelFacultyen
uws.typeOfResourceTexten

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