Ten simple rules for licensing biomedical data resources

Biomedical research increasingly depends on integrating and reusing data from multiple sources, yet data licensing practices in biomedical domains often lag behind software licensing in maturity and clarity. Vague or overly restrictive licenses hinder data sharing, integration, and downstream innovation. Here, we present ten simple rules to guide data licensing decisions for biomedical data resources, covering the use of standard licenses, explicit and machine-readable documentation of terms, clear handling of derivatives, and sustainability models that do not rely on restricting access. These rules aim to help data stewards, curators, funders, and researchers make licensing decisions that maximize openness, reuse, and impact, while protecting sensitive information and respecting contributor rights.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-30
DOI
https://doi.org/10.5281/zenodo.21711782
Primary Topic
Scientific Computing and Data Management
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Ten simple rules for licensing biomedical data resources

Daniel Korn, Andrew I. Su, Matthew Brush, Julie A. McMurry et al.
Zenodo (CERN European Organization for Nuclear Research)
Scientific Computing and Data Management
preprint

Ten simple rules for licensing biomedical data resources

Daniel Korn, Andrew I. Su, Matthew Brush, Julie A. McMurry, Melissa Haendel, Seth Carbon, Shilpa Sundar
preprint en

Abstract

Biomedical research increasingly depends on integrating and reusing data from multiple sources, yet data licensing practices in biomedical domains often lag behind software licensing in maturity and clarity. Vague or overly restrictive licenses hinder data sharing, integration, and downstream innovation. Here, we present ten simple rules to guide data licensing decisions for biomedical data resources, covering the use of standard licenses, explicit and machine-readable documentation of terms, clear handling of derivatives, and sustainability models that do not rely on restricting access. These rules aim to help data stewards, curators, funders, and researchers make licensing decisions that maximize openness, reuse, and impact, while protecting sensitive information and respecting contributor rights.

Zenodo (CERN European Organization for Nuclear Research)
University of North Carolina at Chapel Hill (US), Scripps Research Institute (US), Lawrence Berkeley National Laboratory (US)
Industry, innovation and infrastructure
Scientific Computing and Data Management
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.