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

2. 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”

3. 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……

4. 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

5. 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)

6. 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

7. 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)