ARL, CNI, SPARC

RLI 288 15 RESEARCH LIBRARY ISSUES: A REPORT FROM ARL, CNI, AND SPARC 2016 FIGURE 6. DASHBOARD SUMMARY OVERVIEW FIGURE 7. LOCATION AND PURPOSE OF USE FILTERED BY GRADUATE STUDENTS IN ENGINEERING

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Page 1Business Intelligence and Data Visualization with Tableau in Research Libraries
Page 5Assessment of E-Resource Usage at University of Massachusetts Amherst: A MINES for Libraries® Study Using Tableau for Visualization and Analysis
Page 21Tableau Unleashed: Visualizing Library Data

Research Library Issues, no. 288 (2016) resources

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RLI 288 15 RESEARCH LIBRARY ISSUES: A REPORT FROM ARL, CNI, AND SPARC 2016 FIGURE 6. DASHBOARD SUMMARY OVERVIEW FIGURE 7. LOCATION AND PURPOSE OF USE FILTERED BY GRADUATE STUDENTS IN ENGINEERING

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RLI 288 16 RESEARCH LIBRARY ISSUES: A REPORT FROM ARL, CNI, AND SPARC 2016 Finally, one of the most interesting comparisons made using Tableau was to ingest COUNTER data for the Web of Knowledge into Tableau both for record views in the database and regular searches (see Figure 8). FIGURE 8. COUNTER DATA FOR WEB OF KNOWLEDGE DISPLAYED BY TABLEAU The COUNTER data is useful but does not give the granularity of MINES data for the same resources. See Figure 9, which shows Web of Knowledge use by user type, purpose, school and college affiliation, the purpose of use, and the reason why the resource was selected.

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Research Library Issues, no. 288 (2016) resources

RLI 288 14 RESEARCH LIBRARY ISSUES: A REPORT FROM ARL, CNI, AND SPARC 2016 FIGURE 5B. MONTHLY MINES SURVEY AND ALL PROXY TRAFFIC Using dashboards to display survey results visually helped the staff absorb and understand the survey results. The side-by-side presentation makes it easier to see relationships between responses within a single holistic view. The MINES User Group Dashboard (see Figure 6) shows the summary of all results. This broad overview provides the baseline for deeper analysis. For example, it is useful to see that 89% of overall use occurs outside the library buildings and that 53% of use was in support of teaching or classwork. Visualizing MINES data with Tableau increases utility because the data is easily filtered to answer a range of detailed questions posed by individual staff. A liaison librarian to engineering can see that 92% of graduate student use happens outside the libraries and that 45% of use is for thesis or dissertation work (see Figure 7). This kind of close analysis of the questions informs instruction, outreach, and support to constituents. The power comes not only from aggregate data or from a single conclusion but also from the ability to understand specific and integrated aspects of the data as needed for various purposes.

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Research Library Issues, no. 288 (2016) resources

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Research Library Issues, no. 288 (2016) resources

Research Library Issues, no. 288 (2016) resources