Balancing ethical data sharing and open science for reproducible research in biomedical data science
Analyses of large-scale health data in biomedical data science can help uncover new treatments and deepen our understanding of disease and fundamental biology. Here we examine the balance between ethical and responsible data sharing and open science practices that are essential for reproducible research in biomedical data science.
Authors
- Allison Creason (ORCID: https://orcid.org/0000-0001-5724-1276)
- Anup Mahurkar (ORCID: https://orcid.org/0000-0002-4999-2296)
- Stuart S. Levine (ORCID: https://orcid.org/0000-0001-7363-562X)
- Elana J. Fertig (ORCID: https://orcid.org/0000-0003-3204-342X)
- Owen White (ORCID: https://orcid.org/0000-0001-7406-7361)
- Dmitrijs Lvovs (ORCID: https://orcid.org/0009-0003-2152-6853)
- Michael S. Noble (ORCID: https://orcid.org/0000-0002-6704-1793)
Institutions
- University of Maryland, Baltimore (US)
- Oregon Health & Science University (US)
- Massachusetts Institute of Technology (US)
Publication Details
- Journal
- Cell Reports Medicine
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1016/j.xcrm.2025.102080
- Citations
- 3
- Primary Topic
- Research Data Management Practices
- Type
- article
- Field-Weighted Citation Impact
- 9.74