FAIR data principles
The “FAIR” guiding principles to support the reuse of scholarly data. Image credit: https://ogsl.ca/en/fair-principles
All data prodcued from OSIMAP will be “FAIR” — Findable, Accessible, Interoperable, and Reusable. Making the data FAIR promotes the reuse of scholarly data and make data accessible for machine learning and use in meta-analysis studies. To incorporate these principles, all data from OSIMAP will be made available both on this website and eventually published in open access, peer-reviewed journals.