{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,23]],"date-time":"2026-07-23T16:14:51Z","timestamp":1784823291505,"version":"3.55.0"},"reference-count":17,"publisher":"Emerald","issue":"3","license":[{"start":{"date-parts":[[2015,6,1]],"date-time":"2015-06-01T00:00:00Z","timestamp":1433116800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015,6,1]]},"abstract":"\n Purpose<\/jats:title>\n \u2013 Library data are often hard to analyze because these data come from unconnected sources, and the data sets can be very large. Furthermore, the desire to protect user privacy has prevented the retention of data that could be used to correlate library data to non-library data. The research team used data mining to determine library use patterns and to determine whether library use correlated to students\u2019 grade point average. <\/jats:p>\n <\/jats:sec>\n \n Design\/methodology\/approach<\/jats:title>\n \u2013 A research team collected and analyzed data from the libraries, registrar and human resources. All data sets were uploaded into a single, secure data warehouse, allowing them to be analyzed and correlated. <\/jats:p>\n <\/jats:sec>\n \n Findings<\/jats:title>\n \u2013 The analysis revealed patterns of library use by academic department, patterns of book use over 20 years and correlations between library use and grade point average. <\/jats:p>\n <\/jats:sec>\n \n Research limitations\/implications<\/jats:title>\n \u2013 Analysis of more narrowly defined user populations and collections will help develop targeted outreach efforts and manage the print collections. The data used are from one university; therefore, similar research is needed at other institutions to determine whether these findings are generalizable. <\/jats:p>\n <\/jats:sec>\n \n Practical implications<\/jats:title>\n \u2013 The unexpected use of the central library by those affiliated with law resulted in cross-education of law and central library staff. Management of the print collections and user outreach efforts will reflect more nuanced selection of subject areas and departments. <\/jats:p>\n <\/jats:sec>\n \n Originality\/value<\/jats:title>\n \u2013 A model is suggested for campus partnerships that enables data mining of sensitive library and campus information.<\/jats:p>\n <\/jats:sec>","DOI":"10.1108\/el-07-2013-0136","type":"journal-article","created":{"date-parts":[[2015,5,27]],"date-time":"2015-05-27T10:08:41Z","timestamp":1432721321000},"page":"355-372","source":"Crossref","is-referenced-by-count":36,"title":["Mining library and university data to understand library use patterns"],"prefix":"10.1108","volume":"33","author":[{"given":"John","family":"Renaud","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Scott","family":"Britton","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dingding","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mitsunori","family":"Ogihara","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"140","reference":[{"key":"key2020122323091062700_b1","unstructured":"Anderson, R.\n (2011), \u201cPrint on the margins: circulation trends in major research libraries\u201d, \n Library Journal\n , Vol. 136 No. 11, pp. 38-39."},{"key":"key2020122323091062700_b3","doi-asserted-by":"crossref","unstructured":"Chen, C.\n and \n Chen, A.\n (2007), \u201cUsing data mining technology to provide a recommendation service in the digital library\u201d, \n The Electronic Library\n , Vol. 25 No. 6, pp. 711-724.","DOI":"10.1108\/02640470710837137"},{"key":"key2020122323091062700_b4","unstructured":"Cox, B.\n and \n Jantti, M.\n (2012), \u201cDiscovering the impact of library use and student performance\u201d, Educause Review Online, 18 July, available at: www.educause.edu\/ero\/article\/discovering-impact-library-use-and-student-performance (accessed 2 February 2015)."},{"key":"key2020122323091062700_b5","unstructured":"Cullen, K.\n (2005), \u201cDelving into data\u201d, \n Library Journal\n , Vol. 130 No. 13, pp. 30-33."},{"key":"key2020122323091062700_b6","doi-asserted-by":"crossref","unstructured":"Goodall, D.\n and \n Pattern, D.\n (2011), \u201cAcademic library non\/low use and undergraduate student achievement: a preliminary report of research in progress\u201d, \n Library Management\n , Vol. 32 No. 3, pp. 159-170.","DOI":"10.1108\/01435121111112871"},{"key":"key2020122323091062700_b7","doi-asserted-by":"crossref","unstructured":"Kovacevic, A.\n , \n Devedzic, V.\n and \n Pocajt, V.\n (2010), \u201cUsing data mining to improve digital library services\u201d, \n The Electronic Library\n , Vol. 28 No. 6, pp. 829-843.","DOI":"10.1108\/02640471011093525"},{"key":"key2020122323091062700_b8","doi-asserted-by":"crossref","unstructured":"Matthews, J.\n (2012), \u201cAssessing library contributions to university outcomes: the need for individual student level data\u201d, \n Library Management\n , Vol. 33 Nos 6\/7, pp. 389-402.","DOI":"10.1108\/01435121211266203"},{"key":"key2020122323091062700_b9","unstructured":"Myers, J.\n and \n Well, A.\n (2003), \n Research Design and Statistical Analysis\n , 2nd ed., Lawrence Erlbaum, NJ, p. 508."},{"key":"key2020122323091062700_b10","doi-asserted-by":"crossref","unstructured":"Nicholson, S.\n (2006a), \u201cApproaching librarianship from the data: using bibliomining for evidence-based librarianship\u201d, \n Library Hi Tech\n , Vol. 24 No. 3, pp. 369-375.","DOI":"10.1108\/07378830610692136"},{"key":"key2020122323091062700_b11","unstructured":"Nicholson, S.\n (2006b), \u201cProof in the pattern: librarians follow the corporate sector toward more data-driven management\u201d, \n Library Journal\n , Vol. 131 No. 1, pp. 2-4, 6."},{"key":"key2020122323091062700_b12","doi-asserted-by":"crossref","unstructured":"Nicholson, S.\n and \n Arnott Smith, C.\n (2007), \u201cUsing lessons from health care to protect the privacy of library users: guidelines for the de-identification of library data based on HIPAA\u201d, \n Journal of the American Society for Information Science and Technology\n , Vol. 58 No. 8, pp. 1198-1206.","DOI":"10.1002\/asi.20600"},{"key":"key2020122323091062700_b13","unstructured":"Oakleaf, M.\n (2010), \n The Value of Academic Libraries: A Comprehensive Research Review and Report\n , Association of College and Research Libraries, Chicago, IL, p. 96."},{"key":"key2020122323091062700_b15","doi-asserted-by":"crossref","unstructured":"Shieh, J.\n (2010), \u201cThe integration system for librarians\u2019 bibliomining\u201d, \n The Electronic Library\n , Vol. 28 No. 5, pp. 709-721.","DOI":"10.1108\/02640471011081988"},{"key":"key2020122323091062700_b16","doi-asserted-by":"crossref","unstructured":"Soria, K.\n , \n Fransen, J.\n and \n Nackerud, S.\n (2013), \u201cLibrary use and undergraduate student outcomes: new evidence\u201d, \n Libraries and the Academy\n , Vol. 13 No. 2, pp. 147-164.","DOI":"10.1353\/pla.2013.0010"},{"key":"key2020122323091062700_b17","doi-asserted-by":"crossref","unstructured":"Tsai, C.\n and \n Chen, M.\n (2008), \u201cUsing adaptive resonance theory and data-mining techniques for materials recommendation based on the e-library environment\u201d, \n The Electronic Library\n , Vol. 26 No. 3, pp. 287-302.","DOI":"10.1108\/02640470810879455"},{"key":"key2020122323091062700_frd1","unstructured":"Britton, S.\n (2013), \u201cMining library and university data to understand user populations and behaviour\u201d, Proceedings of the 2012 Library Assessment Conference, Association of Research Libraries, Washington, DC."},{"key":"key2020122323091062700_frd2","unstructured":"Powers, D.\n (2011), \u201cEvaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation\u201d, \n Journal of Machine Learning Technologies\n , Vol. 2 No. 1, pp. 37-63."}],"container-title":["The Electronic 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