Evidence-based librarianship: Utilizing data from all available sources to make judicious print cancellation decisions

Gallagher, John; Bauer, Kathleen; Dollar, Daniel

doi:10.1016/j.lcats.2005.04.004

Cited by 29 publications

(18 citation statements)

References 2 publications

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“…Other collection assessments have been more project-focused or location-specific. For example, the Cushing/Whitney Medical Library gathered and analyzed data to inform print cancellation decisions; 24 the Social Science Library and Kline Science Library conducted surveys to help determine (among other things) the place of print collections in the new Center for Science and Social Science Information. 25 Until recently, these collection assessments have been isolated projects.…”

Section: Collection Assessmentmentioning

confidence: 99%

Collections as a Service: A Research Library's Perspective

Linden¹,

Tudesco²,

Dollar³

2018

CRL

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Section: Collection Assessmentmentioning

confidence: 99%

Collections as a Service: A Research Library's Perspective

Linden¹,

Tudesco²,

Dollar³

2018

CRL

View full text Add to dashboard Cite

“…Gallagher, Bauer, & Dollar, 2005;Metz & Cosgriff, 2000). Gallagher, Bauer, & Dollar, 2005;Metz & Cosgriff, 2000).…”

Section: Importance Of Evaluating the Value Of Journalsunclassified

Modeling journal bibliometrics to predict downloads and inform purchase decisions at university research libraries

Coughlin

Jansen

2015

Asso for Info Science & Tech

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University libraries provide access to thousands of online journals and other content, spending millions of dollars annually on these electronic resources. Providing access to these online resources is costly, and it is difficult both to analyze the value of this content to the institution and to discern those journals that comparatively provide more value. In this research, we examine 1,510 journals from a large research university library, representing more than 40% of the university's annual subscription cost for electronic resources at the time of the study. We utilize a web analytics approach for the creation of a linear regression model to predict usage among these journals. We categorize metrics into two classes: global (journal focused) and local (institution dependent). Using 275 journals for our training set, our analysis shows that a combination of global and local metrics creates the strongest model for predicting full-text downloads. Our linear regression model has an accuracy of more than 80% in predicting downloads for the 1,235 journals in our test set. The implications of the findings are that university libraries that use local metrics have better insight into the value of a journal and therefore more efficient cost content management.

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“…Gallagher, Bauer, and Dollar examined SEX linkresolver reports in addition to print journal usage at the Yale University's medical library to determine candidates in the print journal collection to cancel [6]. During a 3-month period, SEX statistics demonstrated that of the 3,465 health sciences joumals examined, 14.8% (513 titles) were not accessed at all through the SEX link-resolver.…”

Section: Literature Reviewmentioning

confidence: 99%