FAIRsFAIR Open Consultation on FAIR Data Policies and Practices in Europe
The FAIR principles are about making research data Findable, Accessible, Interoperable and Reusable. Data born FAIR requires FAIR skills, practices and services governed by appropriate policies, but what could these be?
New RDA FAIR data maturity model WG: first face to face meeting and February webinars
The Group will have its first face-to-face meeting during RDA Plenary 13 in Philadelphia. The session will aim to reach consensus on the key principles and phases of the design methodology that will lead to the definition of the common set of core assessment criteria for FAIRness. The group is also organising two webinars on February 21 and February 22 to discuss the scope of the work and look at an overview of existing approaches.