| Topic | Notes | Action |
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| Round robin updates | UCLA - 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.
UCI - Troubleshooting issues with implementing Aeon; and issues with EAD outputs generated from ASpace (which are feeding into Aeon).
UCM - 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.
UCR - 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.
UCSC - 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.
UCSD - 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
UCSF - 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.
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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)
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| 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.
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