Emerging technologies have offered libraries and librarians new ways and methods to collect and analyze data in the era of accountability to justify their value and contributions. For example, Gallagher, Bauer and Dollar (2005) analyzed the paper and online journal usage from all possible data sources and discovered that users at the Yale Medical Library preferred the electronic format of articles to the print version. After this discovery, they were able to take necessary steps to adjust their journal subscriptions. Many library professionals advocate such data-driven library management to strengthen and specify library budget proposals.
Chen, H., Doty, P., Mollman, C., Niu, X., Yu, J., & Zhang, T. (2015). Library Assessment and Data Analytics in the Big Data Era: Practice and Policies. Proceedings of the 78th Annual Meeting of the Association for Information Science and Technology (2015, St. Louis, MO), 52(1) John Wiley & Sons Inc..
The definitive version is available at https://doi.org/10.1002/pra2.2015.14505201002
78th Annual Meeting of the Association for Information Science and Technology, 2015 ASIS&T (2015: Nov. 6-10, St. Louis, MO)
Library and Learning Resources
Keywords and Phrases
Big data; data analytics; information policy; information privacy; library assessment
International Standard Serial Number (ISSN)
Article - Conference proceedings
© 2015 Hsin-liang Chen, Philip Doty, Carol Mollman, Xi Niu, Jen-chien Yu, and Tao Zhang, All rights reserved.