Published June 21, 2021 | Version v1
Presentation Open

Discovery: FAIR's next frontier

  • 1. Open Knowledge Maps
  • 2. GESIS - Leibniz institute for the Social Sciences
  • 3. OpenAIRE


Findability is a core principle of the FAIR principles, yet, researchers often report that data discovery is difficult. One of the reasons for this is that data discovery goes beyond the question of metadata quality and involves a diverse, often overlapping infrastructure. In a rapidly expanding ecosystem of research data, it can be easy to get overwhelmed in the flood of data. The GO FAIR Implementation Network on Discovery addresses this challenge. The main purpose of the Discovery IN is to provide interfaces and other user-facing services for data discovery across disciplines. In this workshop by the Discovery IN, we want to discuss our progress in this regard. In particular, we will focus on (a) a large scale collection of data discovery use cases and (b) an architecture for an open ecosystem of e-infrastructures for data discovery. The format of the workshop will be a presentation of the current state of our work followed by an extended discussion.


GO FAIR Discovery Implementation Network