Laura Daniels, Lynne Fors, Alissa Hafele, Natascha Owens
📹 Recordings
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Announcements
Christine on Slack:
Hi all! I have another UAT opportunity. We are proposing that in the short term, we stabilize call number browse functionality by:
Changing the sort in “Call numbers (all)” to more closely mirror that of Orchid
Retain options for LC, Dewey, and NLM but hide options that have been more problematic - SuDoc, Other scheme, and Local - until a full refactor effort in an upcoming release
We have created an environment using Quesnelia data for these changes as well as a form for testing scenarios. We are hoping to release these changes as soon as possible for Quesnelia so we are requesting feedback by the middle of next week (8/7/24). I know everyone is very busy, but any feedback you have would be greatly appreciated!Form: Quesnelia call number browse proposal: Feedback form *Note: the other call number browse options (SuDoc, Other scheme, and Local) have not yet been hidden
PC has listened to feedback about problems with data - old, noisy, not exhaustive etc.
Short-term - Hope to make Ramsons bugfest data better
Looking to use real dataset from a larger library with anonymization - user data, fund codes etc. will be changed
might also massage dataset prior to loading to include typical data, e.g. Chicago doesn’t use item material type but most do
Survey will go out to libraries to ask about data and expectations and can present at other SIGs if needed
Other members welcome to join group
Will help with use of reference environments and early testing
Questions
Some experimentation was done to bring forward good data from testing and leave bad data behind. Is this part of the conversation? E.g. the “workhorse” data import profiles that get created for bugfest that would be useful to bring into each new environment.
Charlotte: would be useful for SIGs to make list of what, e.g. profiles, would need to be moved into each env.
How can we best create data that fits everyone’s needs, e.g. reflect location practices across institutions?
What marc mapping would be used?
Group is aware of issue but haven’t decided which dataset to use yet so unsure of mapping.
Maybe mapping used could be recorded somewhere for folks to reference