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  • Based on the tech call this past week we can anticipate questions about the input/output of Casalini conversions. How do we want to staff this? What are Cornell's goals with the Casalini data?
    • For Sinopia - for copy cataloging work we need this data in DAVE/QA and in Sinopia. We understand data cleanup issues with current Share-VDE data
    • For Enhanced Discovery - need to scope work
    • Other local use - are there URIs that are useful and might be added to catalog? Need to first assess this. ACTION - Jason will discuss in LTS
  • Discovery developer search – options?
    • Mention knowledge graph / other cool terms in job ad
  • Authority Lookups for Sinopia (Production QA instance: https://github.com/ld4p/qa_server/issues/)
  • Prep for Cataloging Sinatra and other 45's (Discogs data, https://github.com/ld4p/qa_server/issues?q=is%3Aissue+is%3Aopen+label%3ADiscogs)
  • Enhanced Discovery
    • Steven notes that there is now a W3C BF to schema working group, may help in providing an agreed upon set of mappings
    • See notes regarding usability work above.  Astrid is conducting user interviews with researchers to understand discovery needs and has completed three of these so far.
      • Preliminary impressions: 2 areas: (a) Shorter-term Blacklight contributions: knowledge panel design and integration while bringing in linked data, schema output, and design and implementation of connecting to/integrating authorities (but linked data versions?), (b) design and exploration around how linked data could be integrated into discovery such as semantic search (which may involve interesting alignments between info modeled in ontologies and traditional library search and may even intersect with machine learning/NLP options), possibly resulting in prototypes that address particular user concerns (e.g. identifying related items, demonstrating more clearly what information is actually present and related within the search space, etc.).  Based on literature/existing work, appears there are definite improvements to the search experience that are possible and preferred.  Also very related to user experience: relevance and search algorithms. 
  • Travel and meetings
  • Next meetings: