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  • 2020-02-26 Meeting notes

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  • UCB: Julie Musson

  • UCLA: Sharon Schafer

  • UCI: Paul Park

  • UCM: Jerrold Shiroma

  • UCR: Krystal Boehlert, Steven Mandeville-Gamble, Kevin Comerford

  • UCSC: Jess Waggoner, Rachel Jaffe, Sue Perry, Teresa Mora, 

  • UCSD: Cristela Garcia-Spitz

  • UCSF: Charlie Macquarie

  • CDL: Adrian, Amy, Barbara, Kathryn, Paul, Lisa, Matthew, Rachael, Christine

Discussion items

Round robin updates


  • Implemented Samvera and launched new digital collections site: digital.library.ucla.edu. Currently in the process of migrating objects, starting with simple objects only. Really happy with the public interface.


  • Troubleshooting issues with implementing Aeon; and issues with EAD outputs generated from ASpace (which are feeding into Aeon).


  • Processing and digitizing UC Cooperative Extension Records
  • Adding 3D objects into Nuxeo; looking ahead, CDL team will work on rendering them within the Calisphere object viewer.


  • Testing out Omeka-S for some UCR Library content that isn't optimized for Calisphere, e.g., eBooks. Also exploring use of Omeka-S to host faculty-curated collections
  • AWS gateway appliance for digital preservation for raw scans, to put into formal digital preservation.
  • Scanning new books, using Google Books digitization flow.
  • Starting new digital scholarship services program: hired Digital Scholarship Librarian and Innovative Media Librarian.


  • Ingested/uploaded scrapbook collection structured as complex objects; using Universal Viewer to display the structure.
  • Updating metadata for some legacy audio objects. Will also be ingesting a large number of audio objects, as part of CLIR-funded project.
  • Will support an option for users to request items.


  • Focusing on film digitization.
  • Higher quality equipment to digitize them, thinking about file sizes.
  • Representing contextual information about collections (e.g., timeline, collection overview) as metadata only objects, e.g. https://library.ucsd.edu/dc/collection/bb72746900 and https://library.ucsd.edu/dc/object/bb85033741 . Example includes a timeline in digital collections site, so that each object is a point in the timeline. Timeline used to be represented through Omeka -- but now working on supporting it within the UCSD DAMS UI


  • Staffing changes.
  • AIDS History Project collections are still in-progress of being uploaded to Nuxeo, and published to Calisphere.
  • UCSF is also providing the source PDFs as a dataset for researcher use.
  • Thinking about integrations between finding aids and web archives.

UCSC presentation notes

  • Focusing on undergraduate users, since campus is focused on undergraduate success -- tying the goals together.
  • Will highlight two collections: MassDig project (artist collection) and negatives.
  • Leveraging metadata supplied by donors (photographers) as much as possible, also not able to do extensive item-level description given the scope/scale of the collection
  • Many items had no title -- initially designated "Untitled"
  • Untitled is a problem for accessibility as well as Google’s algorithm
  • First step: incorporated subseries information into the title, to try to provide more context (e.g., "Subseries X: untitled" --> "The "philospher": Untitled")
  • Next step: metadata cleanup and republication of UCSC Photo Services collection. Objects have been modeled as individual, simple objects -- many with the same metadata record
  • Within a browse context, users can likely surmise that all of the items are related (given a title). But in a search results context, they don't make sense
  • Began to explore using complex object model, to collocate individual items
  • In the meantime, also started an assessment to see how undergraduates find digital images
    • Conducted user interviews

    • Students that didn't have familiarity with using archival collections didn't feel confident re: searching and evaluating Google results, when looking for primary sources 

    • Strong interest in finding "the best" images -- but unsure how to exactly go about doing that. Often gravitated towards exhibits, curated content from an authoritative source (e.g., Japanese American Museum of San Jose exhibition)

    • Also relied on images in the top Google results set

    • Desire for groupings of images, but baffled by some groupings that seemed arbitrary (e.g., "portraits" result set

    • Expressed desire for context -- present throughout the interview. Without adequate context, not comfortable using/selecting the image. “Why was this taken, and why is it here??”

    • Created user personas (examples: history major; art major -- varying degrees of comfort levels). And journey maps, to demonstrate how students might proceed to find images in digital collections.

  • Metadata: Adding new levels of hierarchy to collections model. New data model allows for nested models. To provide context and various levels of entry.
  • Balancing context and meaningful description (user needs) with efficient processing (library needs)

Discussion notes
  • UCSD: Cristela shares that UCSD has observed the same struggles/observations.

  • UCSC: Rachel notes that it’s actually easier to complex objectize these (from the beginning), since the photographer has already done the work of grouping them in files

  • UCLA: Sharon shares UCLA has been using Google tag manager as part of our usage assessment. Consider machine learning approaches? https://www.cni.org/wp-content/uploads/2020/01/CNI_Experimenting_Gomez.pdf

  • UCSC is happy to share personas and journey maps.

  • CDL: Highlighted a prototype metadata analysis tool, available on Calisphere-test only.