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Implementation Notes
Data Sources Needed
- MARC bibliographic and holdings records
- Usage data (expressed as a scaled score) and including whichever of the following might be available at the local institution
- Circulation data (checkouts, checkins, renewals, recalls), transaction patrons described by status category (faculty, grad student, undergrad, etc.)
- Course reserves data
- Course text data
- Acquisitions data (how many libraries acquired the resource)
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Engineering Work
A1, A2 and A3 prototyped at stacklife.harvard.edu
Each institution would choose for its scaled score implementation its own data components and weighting and aggregation algorithms
...
Implementation Notes
Data Sources Needed
...
- MARC bibliographic and holdings records
- Usage data (expressed as a scaled score) and including whichever of the following might be available at the local institution
- Circulation data (checkouts, checkins, renewals, recalls), transaction patrons described by status category (faculty, grad student, undergrad, etc.)
- Course reserves data
- Course text data
- Acquisitions data (how many libraries acquired the resource)
- LoC classification outline (650,000 records)
...
Engineering Work
Prototyped at http://hlslwebtest.law.harvard.edu/analytics-dash/sketches/final/
LoC classification classes and sub-classes need to be expressed in all-inclusive top-down hieararchy
LoC class numbers need to be assigned to each resource -- either natively by cataloger or algorithmically