Balaur, I.; Nickerson, D. P.; Welter, D.; Wodke, J. A. H.; Ancien, F.; Gebhardt, T.; Groues, V.; Hermjakob, H.; Konig, M.; Radde, N.; Rougny, A.; Schneider, R.; Malik Sheriff, R. S.; Shiferaw, K. B.; Stefan, M.; Satagopam, V. P.; Waltemath, D.

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.