Assessment (Internal Use Only)

• To demonstrate the impact of our collection on teaching (and research), or UNI curricular needs (and changes)
• Also to divide up work easily and accurately among/across individual collection strategists

• To identify call numbers ranges that match UNI curricular needs (and changes) manually or using a computer program (most ideally)
• To examine whether (or not) books have been actually used for targeted users, as intended. For example, as a collection strategist, I purchased a book for the math department, but I do not know if that book has been used by a patron from the math department.

• Is it possible for us to figure out which colleges/departments a patron who has checked out a book belongs to?

• Alma Analytics ["The Catalog Analysis Best Practices" Theme in the Alma 2022 Roadmap",  an overview analysis starting from 53:00]
• UNI Registrar Office's historical data about courses
• Web scrapping
• MS Access
• Tableau

LC Classification 41 print-ready PDF volumes ("Q Text")

User field called Statistical Category 1 in Alma holds information about the student’s college. This field is populated when we pull the student information from our campus student information system. This information is available in Analytics.

Matos, M. A., & Overmier, J. R. (2017). Mapping Change: An Examination of Curricular Shifts and Collection Impact.

Harker, K., Klein, J., & Crawford, L. (2016). Multiplying by division: Mapping the collection at University of North Texas Libraries.