Seeing the Forest by Counting the Trees: Using a Variety of Data Sources to See the Big Picture

Libraries, particularly academic libraries, are swimming in a sea of data. Librarians often contribute to this by counting every possible patron interaction in an attempt to both define their current situation and to predict future staffing, budgetary, and collection needs. This investigation assessed the effectiveness of using various data sources in predicting future library activity and needs. The authors collected data on in-person and chat reference transactions, electronic journal downloads, database queries, and catalog searches from 2009–12. By analyzing these data points, the authors hypothesized they would find correlations that might be predictive of changes in related library services. Results indicated that the strongest correlations track activity over the course of the academic calendar. While none of the data points examined had predictive properties, the strong correlations between the data points over the period of time studied indicated that any one of them might serve as a stand-alone indicator of usage.

[1]  Jennifer Link Jones.  Using library swipe-card data to inform decision making , 2010 .

[2]  Locke J. Morrisey.  Data-Driven Decision Making in Electronic Collection Development , 2010 .

[3]  Judith S. Garrison.  Making Reference Service Count: Collecting and Using Reference Service Statistics to Make a Difference , 2010 .

[4]  Karen S. Grigg,et al.  Data-Driven Collection Management: Through Crisis Emerge Opportunities , 2010 .

[5]  Van Houlson,et al.  A Window into Our Patron's Needs , 2007 .

[6]  Toshiro Minami,et al.  Data Analysis Methods for Library Marketing in Order to Provide Advanced Patron Services , 2010 .

[7]  Tabatha A. Farney.  Click Analytics: Visualizing Website Use Data , 2011 .

[8]  Gayle Baker,et al.  Vendor‐supplied usage data for electronic resources: a survey of academic libraries , 2008, Learn. Publ..

[9]  Maliha S. Nash,et al.  Handbook of Parametric and Nonparametric Statistical Procedures , 2001, Technometrics.

[10]  Pixey Anne Mosley.  Assessing User Interactions at the Desk Nearest the Front Door , 2007 .

[11]  Rachel E. Cannady,et al.  Moving Beyond Assumptions: The Use of Virtual Reference Data in an Academic Library , 2012 .

[12]  Barbara Lewis,et al.  Making Decisions: Using Electronic Data Collection to Re-Envision Reference Services at the USF Tampa Libraries , 2011 .

[13]  Mellie Kerins.  Augusta State News and Notes , 2011 .

[14]  Julie Shedd,et al.  The Role of Virtual Reference in Library Web Site Design: A Qualitative Source for Usage Data , 2011 .

[15]  Elizabeth Yakel,et al.  Data-Driven Management and Interoperable Metrics for Special Collections and Archives User Services , 2012 .