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Retracted articles use less free and open-source software and cite it worse
Journal article   Open access   Peer reviewed

Retracted articles use less free and open-source software and cite it worse

David Schindler, Erjia Yan, Sascha Spors and Frank Krüger
Quantitative science studies, pp 1-23
03 Nov 2023
url
https://doi.org/10.1162/qss_a_00275View
Published, Version of Record (VoR) Open

Abstract

Abstract As an essential mechanism of scientific self-correction, articles are retracted for many reasons including errors in processing data and computation of results. In today’s data-driven science, the validity of research data and results significantly depends on the software employed. We investigate the relationship between software usage and research validity, eventually leading to article retraction, by analyzing software mentioned across 1,924 retraction notices and 3,271 retracted articles. We systematically compare software mentions and related information with control articles sampled by Coarsened Exact Matching by recognizing publication year, scientific domain, and journal rank. We identify article retractions caused by software errors or misuse and find that retracted articles use fewer free and open-source software hampering reproducible research and quality control. Moreover, such differences are also present concerning software citation, where retracted articles less frequently follow software citation guidelines regarding free and open-source software. Peer Review https://www.webofscience.com/api/gateway/wos/peer-review/10.1162/qss_a_00275

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2 citations in Scopus

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