Insights from the SwissRN Computational Reproducibility Hackathon 2025
<ns3:p>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.</ns3:p>
Authors
- Daniel J. Stekhoven (ORCID: https://orcid.org/0000-0003-3163-3161)
- Matthias Voigt (ORCID: https://orcid.org/0000-0001-8491-1861)
- Tobias Kühlwein
- Michael Kurschilgen (ORCID: https://orcid.org/0000-0001-6109-4969)
- Tom Willems (ORCID: https://orcid.org/0000-0001-9872-0724)
Institutions
- University of Bern (CH)
- SIB Swiss Institute of Bioinformatics (CH)
- Bern University of Applied Sciences (CH)
- University of Zurich (CH)
- ETH Zurich (CH)
- Swiss Distance University of Applied Sciences (CH)
Publication Details
- Journal
- F1000Research
- Published
- 2026-05-09
- DOI
- https://doi.org/10.12688/f1000research.180013.1
- Primary Topic
- Biomedical and Engineering Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00