The Findable, Accessible, Interoperable, Reusable (FAIR) Lite Principles to ensure utility of computational toxicology models
Sulev Sild
Many types of computational models are used in animal-free chemical safety assessment. These are used to make predictions for numerous endpoints, primarily focusing on the hazardous properties of, or exposure to, a chemical substance. The models use information from chemical structures and/or properties, or other non-animal data as inputs. It is essential that the risk assessor or toxicologist can find and utilize the models with confidence. The previously developed findable, accessible, interoperable and reusable (FAIR) principles for computational models are a framework intended to ensure that models are accessible and stored appropriately. This investigation has refined the original FAIR principles applied to computational models to capture information for all types of modelling approaches that may be used in chemical safety assessment. The new principles, termed FAIR Lite, encapsulate the original principles in four criteria relating to identifiers, description of a model, its (meta)data, and storage.
