Not yet endorsed

Adoption and application of the FAIR principles to research data has grown significantly in the few years that they have existed. They have been embraced in many quarters and have paved the way to creating a level playing field for data reuse. Nevertheless, they also pose challenges in some areas of research where reuse may not be an automatic right due to issues of confidentiality, privacy, commercial interests and sensitivities in general.

One of the major challenges of data-driven research is to facilitate knowledge discovery by assisting humans and machines in their discovery of, access to, integration and analysis of data and their associated research objects, e.g., algorithms, software, and workflows. To address this, an initial effort to define a "DATA FAIRPORT" ^[1] began in 2014 at the Lorentz workshop and transitioned into developing a set of FAIR data Guiding Principles in 2016.

This is the webpage of the RDA Interest Group (in formation) on profesionalising data stewardship. The idea to create an interest group was raised in a BoF session during the 14th Plenary (Helsinki), and a first informal group of interested people was established. At the 15th Virtual Plenary, as second BoF session was organised.