A second case study has been published on FAIRification of Innovative Health Initiative. On this occasion they’ve written about the eTOX project case, in which several companies created a large scale toxicology database, covering 8.8 million pre-clinical data points on nearly 2,000 chemicals from 8,196 studies that included predictions on health effects.
Experts achieved an increase in FAIRness level of this dataset from 25% to 50%, focusing on:
🟣 Chemical identifiers [fcb:FCB007]
🟣 Ontology mapping [fcb:FCB042]
All the lessons learned were captured on the project’s flagship product, the FAIR Cookbook, where you’ll be able to find the two related recipes.
Read more information.