WG/IG Collaboration Meeting 12-14 June Göteborg METADATA GROUPS PERSPECTIVE Keith G Jeffery & Rebecca Koskela.

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Presentation transcript:

WG/IG Collaboration Meeting 12-14 June Göteborg METADATA GROUPS PERSPECTIVE Keith G Jeffery & Rebecca Koskela

What are we trying to achieve? The RDA vision is researchers and innovators openly sharing data across technologies, disciplines, and countries to address the grand challenges of society”

What are we trying to achieve? Finding relevant dataset(s) Accessing relevant dataset(s) in situ Moving relevant data set(s)(download) Moving parts of relevant dataset(s) (selection/projection) Processing (software) relevant dataset(s) at origin location Processing (software) relevant datasets at multiple locations Workflow deployment across multiple locations……

Openly Sharing requires FAIR Findable, Accessible, Interoperable, Reusable For each a set of principles Note work on FAIRness metrics All but 2 FAIR principles concern metadata The other 2 concern protocols The metadata must be formal and rich The metadata must be persistent and include provenance Many RDA groups working on this With different objectives and approaches Can we focus? How FAIR is RDA community data? Identifying the gaps to achieve FAIR

Closing the Gap Make existing (meta)data standards interoperable Use rich superset canonical metadata covering existing metadata standards Born-rich metadata Encourage (semi-automated?) creation of rich metadata with formal syntax and declared semantics – and its subsequent improvement e.g. for provenance Increase visibility Make metadata available in appropriate form for indexing by Google Rich multilingual semantics Use automated term language translation via ontologies with term relationships to allow super- and sub-terms (and other related terms)

This is only a first step BUT This is only a first step Although it is in fact large and challenging (Semi-) automated workflow construction to meet user request is real challenge Followed by optimal deployment of the workflow

Way Forward Canonical metadata element set To re-use existing metadata (MSCWG) Tools for rich metadata creation / improvement (Data discovery, data description registry) Tools for metadata harvesting (Repositories interoperability) Tools for metadata mapping/conversion (Brokering groups) Tools for enhancing metadata semantically Curation/availability (Preservation, DMP group, data rescue) Provenance (RDPIG) Multilingual semantics (DICIG, DFT)