AI Clean Up Functionality - Sierra
I understand that III is planning to incorporate AI functionality into the Vega platform (newsletter text, website content, etc...). I think it would be really useful to have AI data cleanup functionality developed for Sierra.
I'm not sure exactly what this would look like but here are some potential ways this could improve catalog metadata:
- catalog record cleanup (bad codes, incorrect codes, codes inconsistent with local practices for similar records, etc...)
- patron record cleanup (bad codes, codes inconsistent with similar-type accounts, etc...)
- automatic tagging of demographic (we use one of the patron codes to indicate reciprocal library system name or local zip code - these don't get updated when patrons move)
- improved link checking and updating
This idea will be reviewed by the product management team for possible inclusion in a future release.
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Kimberly Allen commented
From a bibliographic standpoint: we're an academic library with a vast range of materials and various customizations in our records. I'm with Jeremy in that I prefer we gen reports for staff to review. What may be an error to the AI, may be legit local practice.
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Jeremy Goldstein commented
Automating clean up is one thing, though I'm not sure AI is the ideal approach to take given the differences in codes across customers.
We've made some custom scripts using SQL and the available APIs to automate some low lying clean up tasks such as applying ptypes based on address information.
But for the most part we've needed to instead generate reports for staff to look over and make manual corrections. Items with seemingly incorrect item types is a good example. Something with a book itype attached to a bib record with a mattype like dvd could be a matter of a type in the item, or the item could be attached to the wrong bib entirely. Making that correction requires staff intervention and can't be outright automated.
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Beata Panagopoulos commented
It's hard to imagine the III will put the work in to create this functionality