{
  "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.",
  "abstract_shown": true,
  "affiliations": [
    "Department of Psychology, University of Zurich, Zurich, 8050, Switzerland.",
    "Institute of Psychology, University of Bern, Bern, 3012, Switzerland.",
    "Faculty of Psychology, UniDistance Suisse, Brig, 3900, Switzerland.",
    "Faculty of Mathematics and Computer Science, UniDistance Suisse, Brig, 3900, Switzerland.",
    "Faculty of Business and Economics, UniDistance Suisse, Brig, 3900, Switzerland.",
    "NEXUS Personalized Health, ETH Zurich, Zurich, 8092, Switzerland.",
    "Swiss Institute of Bioinformatics, Lausanne, 1015, Switzerland."
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 5,
  "authors": [
    {
      "affs": [
        0,
        1
      ],
      "name": "Tom Willems",
      "orcid": "0000-0001-9872-0724"
    },
    {
      "affs": [
        2
      ],
      "name": "Tobias Kühlwein",
      "orcid": "0009-0001-5778-3910"
    },
    {
      "affs": [
        3
      ],
      "name": "Matthias Voigt"
    },
    {
      "affs": [
        3,
        4
      ],
      "name": "Michael Kurschilgen",
      "orcid": "0000-0001-6109-4969"
    },
    {
      "affs": [
        5,
        6
      ],
      "name": "Daniel J Stekhoven",
      "orcid": "0000-0003-3163-3161"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/2yjkhnhrvked9.bib",
  "cited_by": 0,
  "doi": "10.12688/f1000research.180013.2",
  "fulltext_url": "https://europepmc.org/articles/PMC13694931",
  "id": "2yjkhnhrvked9",
  "issns": [
    "2046-1402"
  ],
  "landing_url": "https://europepmc.org/article/MED/42928713",
  "language": "eng",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "lcc",
      "Q"
    ],
    [
      "lcc",
      "R"
    ],
    [
      "openalex",
      "1802|Scientific Computing and Data Management"
    ]
  ],
  "openalex": "W7212222992",
  "pdf_url": "https://europepmc.org/articles/PMC13694931?pdf=render",
  "pmcid": "PMC13694931",
  "pmid": "42928713",
  "published": "2026-09-01",
  "publisher": "F1000 Research Ltd",
  "ris": "https://research.draconitic.com/paper/2yjkhnhrvked9.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:21:18Z",
      "native_id": "MED:42928713",
      "source": "europepmc",
      "url": "https://europepmc.org/article/MED/42928713"
    },
    {
      "first_seen": "2026-10-30T13:44:38Z",
      "native_id": "eab410c7f679435cb893444c4bae74df",
      "source": "doaj",
      "url": "https://doi.org/10.12688/f1000research.180013.2"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "lcc:R",
      "subfield": "general"
    }
  ],
  "title": "Insights from the SwissRN Computational Reproducibility Hackathon 2025.",
  "title_text": "Insights from the SwissRN Computational Reproducibility Hackathon 2025.",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T13:44:38Z",
  "url": "https://research.draconitic.com/paper/2yjkhnhrvked9",
  "venue": "F1000Research",
  "versions": []
}