Insights from the SwissRN Computational Reproducibility Hackathon 2025

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Authors: Tom Eric Willems, Daniel Johannes Stekhoven, Michael J. Kurschilgen, Matthias Voigt, Tobias Kühlwein
Cited by: 2

Abstract

Computational reproducibility hackathons provide a hands-on opportunity for identifying barriers to reproducible research. The Swiss Reproducibility Network (SwissRN) hosted a Computational Reproducibility Hackathon at UniDistance Suisse in Brig, Switzerland, with participants from diverse scientific disciplines. 19 participants attempted to reproduce five published computational analyses, achieving at least partial success in four cases. Documentation quality, software environments, and data accessibility emerged as the most critical factors for successful reproduction. These findings inform ongoing efforts to develop practical best-practice guidance and training initiatives to improve computational reproducibility across disciplines. The article relating to this data is published here: http://dx.doi.org/10.12688/f1000research.180013.1

Fields of Study & Subjects

Biomedical and Engineering Education Genetics Bioinformatics and Biomedical Research Scientific Computing and Data Management

Publication details

Publication date
1 January 2026
Document type
Preprint