Undercounting File Downloads from Institutional Repositories

dc.contributor.authorOBrien, Patrick
dc.contributor.authorArlitsch, Kenning
dc.contributor.authorSterman, Leila B.
dc.contributor.authorMixter, Jeff
dc.contributor.authorWheeler, Jonathan
dc.contributor.authorBorda, Susan
dc.date.accessioned2016-07-21T19:37:57Z
dc.date.available2016-07-21T19:37:57Z
dc.date.issued2016-10
dc.description.abstractA primary impact metric for institutional repositories (IR) is the number of file downloads, which are commonly measured through third-party web analytics software. Google Analytics, a free service used by most academic libraries, relies on HTML page tagging to log visitor activity on Google’s servers. However, web aggregators such as Google Scholar link directly to high value content (usually PDF files), bypassing the HTML page and failing to register these direct access events. This paper presents evidence of a study of four institutions demonstrating that the majority of IR activity is not counted by page tagging web analytics software, and proposes a practical solution for significantly improving the reporting relevancy and accuracy of IR performance metrics using Google Analytics.en_US
dc.description.sponsorshipIMLSen_US
dc.identifier.issn1540-3564
dc.identifier.urihttps://scholarworks.montana.edu/handle/1/9943
dc.language.isoen_USen_US
dc.publisherEmeralden_US
dc.relation.hasparthttp://scholarworks.montana.edu/handle/1/9939en
dc.titleUndercounting File Downloads from Institutional Repositoriesen_US
dc.typePreprinten_US
mus.citation.extentfirstpage1en_US
mus.citation.extentlastpage24en_US
mus.citation.issue7en
mus.citation.journaltitleJournal of Library Administrationen_US
mus.citation.volume56en
mus.contributor.orcidSterman, Leila B.|0000-0002-0882-6451en_US
mus.data.thumbpage17en_US
mus.identifier.categoryEngineering & Computer Scienceen_US
mus.relation.collegeLibraryen_US
mus.relation.departmentLibrary.en_US
mus.relation.universityMontana State University - Bozemanen_US

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