How to combine rules and commitment in fostering research integrity?

bureaucracy lifeworld research governance research misconduct responsible conduct of research

Journal

Accountability in research
ISSN: 1545-5815
Titre abrégé: Account Res
Pays: United States
ID NLM: 9100813

Informations de publication

Date de publication:
20 Mar 2023
Historique:
pubmed: 18 3 2023
medline: 18 3 2023
entrez: 17 3 2023
Statut: aheadofprint

Résumé

Research integrity (RI) is crucial for trustworthy research. Rules are important in setting RI standards and improving research practice, but they can lead to increased bureaucracy; without commensurate commitment amongst researchers toward RI, they are unlikely to improve research practices. In this paper, we explore how to combine rules and commitment in fostering RI. Research institutions can govern RI using markets (using incentives), bureaucracies (using rules), and network processes (through commitment and agreements). Based on Habermas' Theory of Communicative Action, we argue that network processes, as part of the lifeworld, can legitimize systems - that is, market or bureaucratic governance modes. This can regulate and support RI practices in an efficient way. Systems can also become dominant and repress consensus processes. Fostering RI requires a balance between network, market and bureaucratic governance modes. We analyze the institutional response to a serious RI case to illustrate how network processes can be combined with bureaucratic rules. Specifically, we analyze how the Science Committee established at Tilburg University in 2012 has navigated different governance modes, resulting in a normatively grounded and efficient approach to fostering RI. Based on this case, we formulate recommendations to research institutions on how to combine rules and commitment.

Identifiants

pubmed: 36927256
doi: 10.1080/08989621.2023.2191192
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-27

Auteurs

Krishma Labib (K)

Department of Ethics, Law and Humanities, Amsterdam Public Health Institute, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.

Joeri Tijdink (J)

Department of Ethics, Law and Humanities, Amsterdam Public Health Institute, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
Department of Philosophy, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.

Klaas Sijtsma (K)

School of Social and Behavioral Sciences, Department of Methodology and Statistics, Tilburg University, Tilburg, the Netherlands.

Lex Bouter (L)

Department of Philosophy, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
Department of Epidemiology and Data Science, Amsterdam Public Health Institute, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.

Natalie Evans (N)

Department of Ethics, Law and Humanities, Amsterdam Public Health Institute, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.

Guy Widdershoven (G)

Department of Ethics, Law and Humanities, Amsterdam Public Health Institute, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.

Classifications MeSH