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Insights from the SwissRN Computational Reproducibility Hackathon 2025.

Created on 26 Oct 2026

Authors

Tom Willems, Tobias Kühlwein, Matthias Voigt, Michael Kurschilgen, Daniel J Stekhoven

Published in

F1000Research. Volume 15. Pages 692. Epub Sep 11, 2026.

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.

PMID:
42928713
Bibliographic data and abstract were imported from PubMed on 26 Oct 2026.

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