Replication code as a cornerstone of the credibility revolution 2.0

• The Credibility Revolution 2.0 shifts focus from design to full‐process transparency. • Code sharing is a key component of the ongoing “Credibility Revolution 2.0.” • I argue code sharing benefits individual researchers and the scientific community • I offer concrete steps for journals, funders and institutions to promote code sharing This opinion piece argues that code sharing is a key yet underutilized component of research transparency and the ongoing “Credibility Revolution 2.0.” It outlines the benefits of providing replication code for both individual researchers and the broader scientific community, and explains why alternative methods of documenting the details of the research process fall short. The opinion piece concludes with concrete recommendations for how different groups in the scientific community can help make code sharing the norm in empirical research.

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Publication Details

Journal
Journal of Behavioral and Experimental Economics
Published
2025-06-27
DOI
https://doi.org/10.1016/j.socec.2025.102410
Primary Topic
Misinformation and Its Impacts
Type
article
Field-Weighted Citation Impact
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article

Replication code as a cornerstone of the credibility revolution 2.0

Jan Marcus
Journal of Behavioral and Experimental Economics
Misinformation and Its Impacts
article

Replication code as a cornerstone of the credibility revolution 2.0

Jan Marcus
article en

Abstract

• The Credibility Revolution 2.0 shifts focus from design to full‐process transparency. • Code sharing is a key component of the ongoing “Credibility Revolution 2.0.” • I argue code sharing benefits individual researchers and the scientific community • I offer concrete steps for journals, funders and institutions to promote code sharing This opinion piece argues that code sharing is a key yet underutilized component of research transparency and the ongoing “Credibility Revolution 2.0.” It outlines the benefits of providing replication code for both individual researchers and the broader scientific community, and explains why alternative methods of documenting the details of the research process fall short. The opinion piece concludes with concrete recommendations for how different groups in the scientific community can help make code sharing the norm in empirical research.

Journal of Behavioral and Experimental EconomicsVol. 117
Freie Universität Berlin (DE)
Openalex Percentile: Top 80%
Misinformation and Its Impacts
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