Killing Two Birds with One Stone: Data-driven Storage Selection and Collection Analysis
Yao Chen · ScholarsArchive (Brigham Young University) · 2016
This article investigated how to use holding data, circulation and interlibrary loan (ILL) statistics to analyze the East Asian collection at the University of Minnesota. Data from multiple sources was divided along Library of Congress call number classification to help explore what was collected, utilized, and what should be grown or de-emphasized. These three sets of data are readily available in most libraries, and they can serve as a powerful tool to help subject librarians to assess the collection in their subject fields. With these data, a librarian can also make informed decisions about collection management, including remote storage selection and budget reallocation.