The 1-h fraud detection challenge

Marcel A G van der Heyden

doi:10.1007/s00210-021-02120-3

The 1-h fraud detection challenge

Marcel A G van der Heyden

Research output: Contribution to journal › Review article › peer-review

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Abstract

Publications baring falsified and fabricated images appear frequently in the primary literature. Industrialized forms of image forgery as practiced by the so-called paper mills worsen the current situation even further. Good education and awareness within the scientific society are essential to create an environment in which honesty and trust are the prime values in experimental research. Here I focus on the detection of publication fraud and provide some examples and advice. Finally, my views on the future of fraud detection and prevention are given.

Original language	English
Pages (from-to)	1633-1640
Number of pages	8
Journal	Naunyn-Schmiedeberg's Archives of Pharmacology
Volume	394
Issue number	8
DOIs	https://doi.org/10.1007/s00210-021-02120-3
Publication status	Published - Aug 2021

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Heyden2021_Article_The1-hFraudDetectionChallengeFinal published version, 2.35 MBLicence: CC BY

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title = "The 1-h fraud detection challenge",

abstract = "Publications baring falsified and fabricated images appear frequently in the primary literature. Industrialized forms of image forgery as practiced by the so-called paper mills worsen the current situation even further. Good education and awareness within the scientific society are essential to create an environment in which honesty and trust are the prime values in experimental research. Here I focus on the detection of publication fraud and provide some examples and advice. Finally, my views on the future of fraud detection and prevention are given.",

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AB - Publications baring falsified and fabricated images appear frequently in the primary literature. Industrialized forms of image forgery as practiced by the so-called paper mills worsen the current situation even further. Good education and awareness within the scientific society are essential to create an environment in which honesty and trust are the prime values in experimental research. Here I focus on the detection of publication fraud and provide some examples and advice. Finally, my views on the future of fraud detection and prevention are given.

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The 1-h fraud detection challenge

Abstract

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