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    • 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)
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

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