Identifying User Demographics in Digital Collections with Google Analytics

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dc.contributor.authorDurden, David
dc.date.accessioned2017-02-15T17:38:18Z
dc.date.available2017-02-15T17:38:18Z
dc.date.issued2016-06-08
dc.description.abstractUsage statistics of digitized materials, when collected, can inform future project prioritization for increased access to materials. Demographic information collected through Google Analytics may provide insight into the behavior of users as they engage with digital collections. This presentation outlines some of the tactics used to analyze data collected by Google Analytics for the years 2013 through 2015 by answering questions such as, 'how are users getting to digital collections,' what searches are driving traffic,' and 'how do users navigate through digital collections'? Answers to these questions revealed additional demographic information including language barriers that prevent access to content, the popularity of particular subjects, changes in social media traffic both to and from digital collections, and popularity of device type and operating system among users.en_US
dc.identifierhttps://doi.org/10.13016/M2JK1V
dc.identifier.urihttp://hdl.handle.net/1903/19158
dc.language.isoen_USen_US
dc.relation.isAvailableAtLibrary Research & Innovative Practice Forum
dc.relation.isAvailableAtDigital Repository at the University of Maryland
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md)
dc.subjectDigital Collectionsen_US
dc.subjectGoogle Analyticsen_US
dc.subjectUser Demographicsen_US
dc.subjectLibrariesen_US
dc.titleIdentifying User Demographics in Digital Collections with Google Analyticsen_US
dc.typePresentationen_US

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