This focusses specifically on

• enriching person data via ORCIDs
• harmonize HElmholtz Insitution data (e.g. via regex)

To do this we need to have / think about:

• general workflow how to deal/update data in the graph
• re-index uplifted data
• keep provenance of uplifting
• create necessary pipelines
• create conventions on data data handling:
  • use of sameAs, vs node deletion;
  • 2nd graph, vs changing data in graph
• establish how to provide uplifted data to UI
• archive/report uplifted data back to providers

for ORCid steps might include

• Check graph data for IDs on people.
• harmonise ORCID ids (i.e. add resolver address to entries missing the resolver due to data conversion issues)
• harvest data for nown ORCID IDs from ORCID
• adapt and extend Helmholtz KG data model for "expert" to map and reflect ORCID data.