AI Article Synopsis

  • The study reviews methods for investigating research misconduct in health-related research, identifying 27 distinct approaches from 57 papers.
  • Most of these methods are either theoretical or empirical, lack standardization, and require significant manual effort to implement, with effective tools primarily available for detecting textual plagiarism.
  • The authors call for improved automated tools and routine validation processes to tackle the increasing challenges of research misconduct.

Article Abstract

Objective: To give an overview of the available methods to investigate research misconduct in health-related research.

Study Design And Setting: In this scoping review, we conducted a literature search in MEDLINE, Embase, The Cochrane CENTRAL Register of Studies Online (CRSO), and The Virtual Health Library portal up to July 2020. We included papers that mentioned and/or described methods for screening or assessing research misconduct in health-related research. We categorized identified methods into the following four groups according to their scopes: overall concern, textual concern, image concern, and data concern.

Results: We included 57 papers reporting on 27 methods: two on overall concern, four on textual concern, three on image concern, and 18 on data concern. Apart from the methods to locate textual plagiarism and image manipulation, all other methods, be it theoretical or empirical, are based on examples, are not standardized, and lack formal validation.

Conclusion: Existing methods cover a wide range of issues regarding research misconduct. Although measures to counteract textual plagiarism are well implemented, tools to investigate other forms of research misconduct are rudimentary and labour-intensive. To cope with the rising challenge of research misconduct, further development of automatic tools and routine validation of these methods is needed.

Trial Registration Number: Center for Open Science (OSF) (https://osf.io/mq89w).

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Source
http://dx.doi.org/10.1016/j.jclinepi.2021.05.012DOI Listing

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