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Date: 

Attendees: 

Regrets:  Steven

Zoom (for 1/25 only): https://cornell.zoom.us/j/858024292

Agenda & Notes

Review actions from 2019-01-18 Cornell LD4P2 Meeting notes

Status updates and planning

  • Discovery developer search
  • 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)
  • Sinatra Profile Work:
    • This work is coming together, documentation of changes to the LC Sound Recording Analog Profile can be found here: https://github.com/LD4P/ld4p2-cornell/blob/master/Sinatra/profiles/Sinatra_profile_Decisions-copy.pdf
      • Still need to (hopefully for next week Steven Folsom ): 
        • update propertyTemplates that involve lookups to abide by the syntax generated by the Sinopia Profile Editor for QA (QA look ups are available as drop-downs in the profile editor now)
        • communicate this work has happened in case others might want to used templates I've created (e.g. RWO profiles instead of Authorities, GeoNames instead of LCNAF)
        • negotiate how far to move away from some LC BFLC patterns and using entities instead of literals (especially in the case where BF, RDA, etc. have properties)
        • Create song template, just haven't gotten to this.
  • Enhanced Discovery
    • 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:
    • Lynette will be out for 1 Feb meeting (Samvera Valkyrization meeting)
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