Peer-reviewedCC BYF1000Research
Insights from the SwissRN Computational Reproducibility Hackathon 2025.
7 affiliations
- 1Department of Psychology, University of Zurich, Zurich, 8050, Switzerland.
- 2Institute of Psychology, University of Bern, Bern, 3012, Switzerland.
- 3Faculty of Psychology, UniDistance Suisse, Brig, 3900, Switzerland.
- 4Faculty of Mathematics and Computer Science, UniDistance Suisse, Brig, 3900, Switzerland.
- 5Faculty of Business and Economics, UniDistance Suisse, Brig, 3900, Switzerland.
- 6NEXUS Personalized Health, ETH Zurich, Zurich, 8092, Switzerland.
- 7Swiss Institute of Bioinformatics, Lausanne, 1015, Switzerland.
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.
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BibTeX
@article{willems2026insights,
title = {{Insights from the SwissRN Computational Reproducibility Hackathon 2025.}},
author = {Tom Willems and Tobias Kühlwein and Matthias Voigt and Michael Kurschilgen and Daniel J Stekhoven},
journal = {F1000Research},
year = {2026},
month = sep,
doi = {10.12688/f1000research.180013.2},
url = {https://europepmc.org/article/MED/42928713},
note = {CC BY},
}
RIS
TY - JOUR
TI - Insights from the SwissRN Computational Reproducibility Hackathon 2025.
AU - Tom Willems
AU - Tobias Kühlwein
AU - Matthias Voigt
AU - Michael Kurschilgen
AU - Daniel J Stekhoven
PY - 2026
DA - 2026/09/01
JO - F1000Research
DO - 10.12688/f1000research.180013.2
UR - https://europepmc.org/article/MED/42928713
AB - 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.
SN - 2046-1402
ER -