FAIR vocabularies are fundamental to interoperability within domains and across domains.. One of the key outputs of the 2019 Dagstuhl workshop was the article ’10 Simple Rules to Make a Vocabulary FAIR’ by Cox et al. That article provides simple and accessible guidelines which are being implemented in a joint working group with IUSSP. Read More
CODATA is also doing other work on FAIR vocabularies. This includes:
- The rebooted CASRAI terminology for research data management. This terminology was developed by CASRAI who requested CODATA take over curation duties in 2020. The CASRAI terminology provides a domain-agnostic set of terms relating to research data and its management, and will be reviewed annually by the CASRAI RDM Terminology Working Group. This activity contributes to CODATA’s work in data science and stewardship.
- The Terms4FAIRskills terminology. Terms4FAIRskills is a collaborative project between a large network of European experts in FAIR (findable, accessible, interoperable, reusable) data. This activity contributes to CODATA’s work in data skills development.
- The Hazard classification within the Sendai Framework for Disaster Risk Reduction 2015–2030 (‘the Sendai Framework’). This framework was one of three landmark agreements adopted by the United Nations in 2015, the other two being the Sustainable Development Goals of Agenda 2030 and the Paris Agreement on Climate Change. The UNDRR/ISC Sendai Hazard Definition and Classification Review Technical Report supports all three agreements by providing a common set of hazard definitions for monitoring and reviewing implementation which calls for a data revolution, rigorous accountability mechanisms and renewed global partnerships.