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dc.creatorBorrego, Gilbert
dc.creatorLiu, Chia-Hui
dc.creatorHill, Natalie
dc.creatorLyon, Colleen
dc.date.accessioned2019-05-28T13:47:54Z
dc.date.available2019-05-28T13:47:54Z
dc.date.issued2019-05
dc.identifier.urihttps://hdl.handle.net/2152/74839
dc.identifier.urihttp://dx.doi.org/10.26153/tsw/1951
dc.descriptionDSpace provides usage data on page views and downloads, but the accuracy of that data has been called into question. Library staff at UT Austin, despite a challenging budget, have sought to improve the communication of usage data produced in DSpace. We will discuss our use of RAMP (Repository Analytics and Metrics Portal) to improve the accuracy of the usage data gathered from DSpace and Google Analytics. We will also describe the script we wrote to aggregate RAMP statistics in spreadsheet format as well as a deep dive into our usage data. Participants will learn the pros and cons of repository usage data tools, and the skills and resources required to implement similar workflows.en_US
dc.descriptionPresentation at the Texas Conference on Digital Libraries. May 22, 2019 in Austin, TX.
dc.language.isoengen_US
dc.relation.ispartofUT Faculty/Researcher Worksen_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subjectDSpaceen_US
dc.subjectstatisticsen_US
dc.subjectUT Librariesen_US
dc.subjectRAMPen_US
dc.subjectRepository Analytics and Metrics Portalen_US
dc.subjectGoogle Analyticsen_US
dc.titleUsing Open Source Tools to Improve DSpace Statisticsen_US
dc.typePresentationen_US
dc.description.departmentUT Librariesen_US
dc.rights.restrictionOpenen_US


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Attribution 3.0 United States
Except where otherwise noted, this item's license is described as Attribution 3.0 United States