Library assessment and data analytics in the big data era: Practice and policies

Hsin Liang Chen, Philip Doty, Carol Mollman, Xi Niu, Jen Chien Yu, Tao Zhang

Research output: Contribution to journalArticlepeer-review

Abstract

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 () 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.

Original languageEnglish (US)
Pages (from-to)1-4
Number of pages4
JournalProceedings of the Association for Information Science and Technology
Volume52
Issue number1
DOIs
StatePublished - Jan 2015
Externally publishedYes

Keywords

  • Big data
  • data analytics
  • information policy
  • information privacy
  • library assessment

ASJC Scopus subject areas

  • General Computer Science
  • Library and Information Sciences

Fingerprint

Dive into the research topics of 'Library assessment and data analytics in the big data era: Practice and policies'. Together they form a unique fingerprint.

Cite this