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

Institutions

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Insights from the SwissRN Computational Reproducibility Hackathon 2025

Daniel J. Stekhoven, Matthias Voigt, Tobias Kühlwein, Michael Kurschilgen et al.
F1000Research
Biomedical and Engineering Education
article

Insights from the SwissRN Computational Reproducibility Hackathon 2025

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

Abstract

<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>

F1000ResearchVol. 15
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)
Openalex Percentile: Top 9%
Biomedical and Engineering Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Insights from the SwissRN Computational Reproducibility Hackathon 2025 — Daniel J. Stekhoven, Matthias Voigt, et al. · F1000Research (2026) | TGRS Research Map | TGRS