FAIR-IMPACT identified practices, policies, tools and technical specifications to guide researchers, repository managers, research performing organisations, policy makers and citizen scientists towards a FAIR data management cycle. The focus was on persistent identifiers (PIDs), metadata, ontologies, metrics, certification and interoperability, starting with real-life use cases on social sciences and humanities, the photon and neutron sciences, life sciences and agri-food and environmental sciences.
Browse below the use cases FAIR-IMPACT supported
FAIR vocabularies in DANS Data Stations
DANS (Data Archiving and Networked Services) improved the FAIRness (Findable, Accessible, Interoperable, and Reusable) of its repository service by transitioning from a generic repository system, EASY, to four discipline-specific repositories called "Data Stations." Each Data Station is curated with relevant communities, enables the addition of custom metadata fields and discipline specific controlled vocabularies, improving metadata quality and interoperability. Data is mapped to and can be exported in multiple formats like DublinCore, DataCite, and Schema.org. The new Data Stations use Dataverse software, as opposed to EASY, which was based on the FEDORA system and became outdated.
Improving ecological (meta)data FAIRness through semantic services: integration of EcoPortal in LifeWatch Italy new platforms
EcoPortal supports the scientific community in managing semantic artefacts in the ecological domain and employs the Ontology FAIRness Evaluator (O’FAIRe) tool for FAIRness assessment. Challenges addressed in this use case include enhancing metadata annotation with FAIR semantic artefacts. The expected impacts of the integration between EcoPortal and the new Data Portal and Metadata Catalogue of LifeWatch Italy encompass easier ecological data discovery, annotation, machine-actionable meta(data), and a push towards Linked Open Data.