Supporting Information Visualization Research in an Academic Library

Lessons Learned from an Analysis of the Literature


  • Michael Groenendyk Concordia University
  • Tomasz Neugebauer Concordia University



Data visualization


This paper summarizes librarian research on information visualization as well as general trends in the broader field, highlighting the most recent trends, important journals, and which subject disciplines are most involved with information visualization. By comparing librarian research to the broader field, the paper identifies opportunities for libraries to improve their information visualization support services.


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Erico de Souza Veriscimo, Joao Luiz Bernardes Junior, and Luciano Antonio Digiampietri, “Evaluating User Experience in 3D Interaction: A Systematic Review,” in XVI Brazilian Symposium on Information Systems, SBSI’20 (New York, NY, USA: Association for Computing Machinery, 2020), 1–8,

Geoffrey M. Draper, Yarden Livnat, and Richard F. Riesenfeld, “A Survey of Radial Methods for Information Visualization,” IEEE Transactions on Visualization and Computer Graphics 15, no. 5 (September 2009): 759–76,

“Information Visualization Conference Publications 1990-2020 Enriched with WikiData Concepts,” 2021,

“LIS Publications on Information Visualization enriched with WikiData Concepts,” 2021,

Jannette L. Finch and Angela R. Flenner, “Using Data Visualization to Examine an Academic Library Collection | Finch | College & Research Libraries,” accessed October 27, 2020,

Lauren Magnuson, Data Visualization: A Guide to Visual Storytelling for Libraries, (Rowman & Littlefield: Lanham, 2016).

Liam McNabb and Robert S. Laramee, “Survey of Surveys (SoS)—Mapping the Landscape of Survey Papers in Information Visualization,” Computer Graphics Forum 36, no. 3 (2017): 589–617,

M. C. Ferreira de Oliveira and H. Levkowitz, “From Visual Data Exploration to Visual Data Mining: A Survey,” IEEE Transactions on Visualization and Computer Graphics 9, no. 3 (July 2003): 378–94,

Mathieu Bastian, Sebastien Heymann, and Mathieu Jacomy, “Gephi: An Open Source Software for Exploring and Manipulating Networks,” Proceedings of the International AAAI Conference on Web and Social Media 3, no. 1 (March 19, 2009): 361–62,

Paulo Ivson et al., “A Systematic Review of Visualization in Building Information Modeling,” IEEE Transactions on Visualization and Computer Graphics 26, no. 10 (October 2020): 3109–27,

Petra Isenberg et al., “Vispubdata.Org: A Metadata Collection About IEEE Visualization (VIS) Publications,” IEEE Transactions on Visualization and Computer Graphics 23, no. 9 (September 2017): 2199–2206,

R. Khulusi et al., “A Survey on Visualizations for Musical Data,” Computer Graphics Forum 39, no. 6 (2020): 82–110,

Sarah Anne Murphy, “Data Visualization and Rapid Analytics: Applying Tableau Desktop to Support Library Decision-Making,” Journal of Web Librarianship 7, no. 4 (October 2013): 465–76,

Sarah Anne Murphy, “How Data Visualization Supports Academic Library Assessment: Three Examples from The Ohio State University Libraries Using Tableau,” College & Research Libraries News 76, no. 9 (2015): 482–86.

Shixia Liu et al., “A Survey on Information Visualization: Recent Advances and Challenges,” The Visual Computer 30, no. 12 (December 1, 2014): 1373–93,

Stuart Card, Jock Mackinlay, and Ben Shneiderman, Information Visualization: Using Vision to Think., (Morgan Kaufmann: Cambridge, 1999).

Tomasz Neugebauer, “Concepts in Information Visualization Conference Publications 1990-2020: Concept-concept Graph for IEEE Information Visualization Conferences,” 2021,

Tomasz Neugebauer, “Photomedia/CitationDataEnrichTransform,” May 14, 2021,

Tomasz Neugebauer, “Photomedia/CitationDataEnrichTransform/get-concepts,” Python, December 8, 2021,

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How to Cite

Groenendyk, M., & Neugebauer, T. (2024). Supporting Information Visualization Research in an Academic Library: Lessons Learned from an Analysis of the Literature. Information Technology and Libraries, 43(1).