LinkML: an open data modeling framework
LinkML helps reduce heterogeneity, complexity, and the proliferation of single-use data models while simultaneously enabling compliance with FAIR (Findable, Accessible, Interoperable, and Reusable) data standards. LinkML has seen increasing adoption in various fields, including biology, chemistry, biomedicine, microbiome research, finance, electrical engineering, transportation, and commercial software development. In short, LinkML makes implicit models explicitly computable and allows data to be standardized at their origin. LinkML documentation and code are available at https://linkml.io/.
Authors
- William D. Duncan (ORCID: https://orcid.org/0000-0001-9625-1899)
- Damion Dooley (ORCID: https://orcid.org/0000-0002-8844-9165)
- James A. Overton (ORCID: https://orcid.org/0000-0001-5139-5557)
- Sierra Moxon (ORCID: https://orcid.org/0000-0002-8719-7760)
- Ryan Ly (ORCID: https://orcid.org/0000-0001-9238-0642)
- Nomi L. Harris (ORCID: https://orcid.org/0000-0001-6315-3707)
- J. Harry Caufield (ORCID: https://orcid.org/0000-0001-5705-7831)
- Mark A. Miller (ORCID: https://orcid.org/0000-0001-9076-6066)
- Nicolas Matentzoglu
- Sarah Gehrke (ORCID: https://orcid.org/0000-0003-3245-2880)
- Patrick Kalita
- David Linke (ORCID: https://orcid.org/0000-0002-5898-1820)
- Harold R. Solbrig (ORCID: https://orcid.org/0000-0002-5928-3071)
- Gaurav Vaidya (ORCID: https://orcid.org/0000-0003-0587-0454)
- Harshad Hegde (ORCID: https://orcid.org/0000-0002-2411-565X)
- Kevin Schaper (ORCID: https://orcid.org/0000-0003-3311-7320)
- Deepak Unni (ORCID: https://orcid.org/0000-0002-3583-7340)
- Madan Krishnamurthy (ORCID: https://orcid.org/0000-0002-9767-3636)
- Chris Bizon
- Oliver Ruebel
- Corey Cox (ORCID: https://orcid.org/0000-0001-9042-5982)
- Jonny L. Saunders
- Sagar Patil (ORCID: https://orcid.org/0000-0001-6142-1106)
- Julius O.B. Jacobsen (ORCID: https://orcid.org/0000-0002-3265-1591)
- Wouter-Michiel Vierdag (ORCID: https://orcid.org/0000-0003-1666-5421)
- Adam S L Graefe (ORCID: https://orcid.org/0009-0004-8124-8864)
- A J Ireland
- Carlo Kroll
- Tim Fliss
- Silvano Cirujano Cuesta
- Frank Dekervel
Institutions
- University of North Carolina at Chapel Hill (US)
- SIB Swiss Institute of Bioinformatics (CH)
- Siemens (Germany) (DE)
- Johns Hopkins University (US)
- Lawrence Berkeley National Laboratory (US)
- University of California, Los Angeles (US)
- Queen Mary University of London (GB)
- Simon Fraser University (CA)
- University of Toronto (CA)
- UCLA Health (US)
- Johns Hopkins Medicine (US)
- UCLA Medical Center (US)
- University of Florida (US)
- Senologic Hellenic Society (GR)
- Leibniz Institute for Catalysis (DE)
- Semantic Designs (United States) (US)
- European Molecular Biology Laboratory (DE)
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin (DE)
- Allen Institute (US)
- William Harvey Research Institute (GB)
- Golden Gate University (US)
- Renaissance Computing Institute (US)
- KU Leuven (BE)
Publication Details
- Journal
- GigaScience
- Published
- 2025-12-11
- DOI
- https://doi.org/10.1093/gigascience/giaf152
- Primary Topic
- Research Data Management Practices
- Type
- article
- Field-Weighted Citation Impact
- 0.00