The goal of this initiative is to provide capacity-building opportunities to improve the skill, practices, and protocols to make computational models findable, accessible, interoperable, and reusable (FAIR). We have selected a list of highly cited papers in different domains and developed a protocol for making those models FAIR. Our aim is to make over 100 models FAIR, with the help of the modeling community. We will stimulate activities to advance model analysis of those FAIR models using high throughput computing.
What does it mean to be a FAIR model? Learn more from the Network for Computational Modeling in Social and Ecological Sciences.
We have set up an organization page on GitHub for this initiative, to track community-made updates to various highly cited models. New users are always welcome!
Contact email@example.com for more information!