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

doi:10.1002/pra2.2015.14505201002

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

Department of Library and Educational Informational Systems

Research output: Contribution to journal › Article › peer-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 (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.

Original language	American English
Journal	Proceedings of the 78th Annual Meeting of the Association for Information Science and Technology (2015, St. Louis, MO)
Volume	52
DOIs	https://doi.org/10.1002/pra2.2015.14505201002
State	Published - Nov 1 2015

Keywords

Big data
data analytics
information policy
information privacy
library assessment

Disciplines

Library and Information Science

Access to Document

10.1002/pra2.2015.14505201002License: CC BY

Library Assessment and Data Analytics in the Big Data Era: PractiFinal published version, 262 KBLicense: CC BY

Cite this

@article{10d949b589b6425e940d9dbecd98129d,

title = "Library Assessment and Data Analytics in the Big Data Era: Practice and Policies",

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 (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.",

keywords = "Big data, data analytics, information policy, information privacy, library assessment",

author = "Hsin-Liang Chen and Philip Doty and Carol Mollman and Xi Niu and Jen-chien Yu and Tao Zhang",

year = "2015",

month = nov,

day = "1",

doi = "10.1002/pra2.2015.14505201002",

language = "American English",

volume = "52",

journal = "Proceedings of the 78th Annual Meeting of the Association for Information Science and Technology (2015, St. Louis, MO)",

}

TY - JOUR

T1 - Library Assessment and Data Analytics in the Big Data Era: Practice and Policies

AU - Chen, Hsin-Liang

AU - Doty, Philip

AU - Mollman, Carol

AU - Niu, Xi

AU - Yu, Jen-chien

AU - Zhang, Tao

PY - 2015/11/1

Y1 - 2015/11/1

N2 - 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.

AB - 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.

KW - Big data

KW - data analytics

KW - information policy

KW - information privacy

KW - library assessment

UR - https://scholarsmine.mst.edu/library_facwork/11

U2 - 10.1002/pra2.2015.14505201002

DO - 10.1002/pra2.2015.14505201002

M3 - Article

VL - 52

JO - Proceedings of the 78th Annual Meeting of the Association for Information Science and Technology (2015, St. Louis, MO)

JF - Proceedings of the 78th Annual Meeting of the Association for Information Science and Technology (2015, St. Louis, MO)

ER -

Library Assessment and Data Analytics in the Big Data Era: Practice and Policies

Abstract

Keywords

Disciplines

Access to Document

Other files and links

Cite this