SNSF - Explanation of the FAIR Data Principles

To facilitate the discovery, access, re-use and citation of datasets, it is important that the publication of research data follows a set of clearly defined and broadly applicable best practices. The FAIR Data Principles define a range of qualities a published dataset should have in order to be Findable, Accessible, Interoperable and Reusable. The SNSF expects researchers to share their data according to the FAIR Data Principles on publicly accessible, digital repositories. It is important to note that the FAIR Data Principles do not require researchers to share all their data without any restrictions. Rather they advocate applying a standard procedure when sharing research data for reuse, so that humans and computer systems can easily find, interpret and use them under clearly defined conditions. The following document provides an explanation of the FAIR principles and the responsibilites for researchers and data repositories