The FAIR principles provide high-level guidance for making data findable, accessible, interoperable, and reusable. Some of these principles describe repository characteristics and practices while others describe data and metadata characteristics. The metadata characteristics are described in very broad terms like “rich metadata”, “a plurality of accurate and relevant attributes”, and “detailed provenance”.
Data providers in the ESIP community use many metadata dialects to serve many disciplines. Implementing the FAIR Principles in this community requires understanding specific metadata practices and elements that support these broad disciplines.
The goal of this session is to make these metadata recommendations more specific and achieve community consensus on these recommendations.We will break into groups to discuss metadata elements and checks that we are proposing to support FAIR Principles. Starting points are available for comment as a set of issues at:
F -
https://github.com/NCEAS/metadig-checks/labels/FindableA -
https://github.com/NCEAS/metadig-checks/labels/AccessibleI -
https://github.com/NCEAS/metadig-checks/labels/Interoperable and
R -
https://github.com/NCEAS/metadig-checks/labels/ReusablePresenter: Ted Habermann
Talk Title: Measuring the FAIR Principles
Slides:https://doi.org/10.6084/m9.figshare.9252914
View the Recording on YouTubeSession Take-Aways- ESIP Members are interested in measuring and improving FAIRness of their metadata and support the development of a ESIP recommendation for FAIR metadata content.
- A discussion of potential FAIR recommendations is going on.. Please join that discussion here.
