Data Visualization for Collection Development

Data Visualization for Collection Development

James Stemper, University of Minnesota

Michele Gibney, University of the Pacific


The purpose of this document is to meet the charge of the SPARC Data Analysis Working Group (DAWG), and provide a high-level overview of how libraries can create data visualizations of usage statistics and use them to make collection development decisions as well as showcase the impact and value of the library to the university community. Below are examples from institutions of higher education and adjacent organizations who have published or presented on use of data visualizations in collection-development planning.

California Digital Library

  • Data Expeditions – Mining Data for Effective Decision-Making (Slides | YouTube)
    • Ivy Anderson, Charleston Conference, November 2018
    • [See slides 4–6 as a way to use visuals to make complex issues understandable]

Canadian Association of Research Libraries (CARL)

College of Charleston

Iowa State University

Loyola Marymount University

Ohio State University

State University of New York

University of British Columbia

University of Colorado 

University of Massachusetts, Amherst

University of North Carolina at Chapel Hill

University of North Texas

(last updated August 16, 2021)

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