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Library Analytics Investigation Team Recommendations

dc.contributor.authorBertram, Albert
dc.contributor.authorBotimer, Noah
dc.contributor.authorBradley, Doreen
dc.contributor.authorConte, Marisa
dc.contributor.authorFolger, Kathleen
dc.contributor.authorPerpich, Diana
dc.contributor.authorRodgers, Emily Puckett
dc.contributor.authorRothman, Jon
dc.contributor.authorTschirhart, Lori
dc.contributor.authorVarnum, Kenneth J.
dc.date.accessioned2016-11-15T16:05:16Z
dc.date.available2016-11-15T16:05:16Z
dc.date.issued2016-11-15
dc.identifier.urihttps://hdl.handle.net/2027.42/134406
dc.description.abstractThe University of Michigan Library’s Technology Alignment and Stewardship Committee charged the Library Analytics Investigation Team in the Winter 2016 cycle. The team met from April through September of 2016 to investigate processes to provide library-generated data to library staff for service improvement and/or research investigations.en_US
dc.language.isoen_USen_US
dc.subjectlibrary analyticsen_US
dc.subjectuser dataen_US
dc.titleLibrary Analytics Investigation Team Recommendationsen_US
dc.typeOtheren_US
dc.subject.hlbsecondlevelInformation and Library Science
dc.subject.hlbtoplevelSocial Sciences
dc.contributor.affiliationumLibrary, University of Michiganen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/134406/1/Library Analytics Investigation Team Report.pdf
dc.description.filedescriptionDescription of Library Analytics Investigation Team Report.pdf : Investigation Team Report
dc.owningcollnameLibrary (University of Michigan Library)


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