FAIRification of computational models in biology.

ABSTRACT: Computational models are essential for studying complex systems which, particularly in clinical settings, need to be quality-approved and transparent. To enhance the communication of a model's features and capabilities, we propose an adaptation of the Findability, Accessibility, Interoperability and Reusability (FAIR) indicators published by the Research Data Alliance to assess models encoded in domain-specific standards, such as those established by COMBINE. The assessments guide FAIRification and add value to models.

SUBMITTER: Balaur I 

PROVIDER: S-EPMC11974689 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature