Chapter 5. Challenges and Concerns

Authors

  • Hsuanwei Michelle Chen

Abstract

Chapter 5 of Library Technology Reports (vol. 53, no. 2), “Information Visualization”

Many libraries want to implement information visualization; however, it’s not always this simple. While logic and research tells us that data visualization is beneficial and serves a much-needed purpose, this purpose does not eliminate the challenges that serve as barriers to the implementation of information visualization in libraries. Of these challenges, the most common include affordability; lack of expertise, skills, or education; lack of defined roles and responsibilities for staff in library; lack of technological infrastructure; and others. Chapter 5 of Library Technology Reports (vol. 53, no. 3), “Information Visualization,” looks at these challenges and concerns.

Author Biography

Hsuanwei Michelle Chen

Dr. Hsuanwei Michelle Chen is an Assistant Professor in the School of Information at San José State University. Her primary areas of research and teaching interests include data mining, information visualization, social network analysis, and online user behavior. In particular, she is interested in studying the value of virtual platforms, social media, and networked environments, and the role they play in shaping online user behavior. She has published on the topics of information visualization, social media, and online user behavior in journals such as Journal of Information Technology Management, Library Management, Information Systems Research, and Decision Support Systems. She holds a BS and MS in computer science and information engineering from National Taiwan University and a PhD in information systems from the University of Texas at Austin, McCombs School of Business.

References

Lori Jahnke, Andrew Asher, and Spencer D. C. Keralis, The Problem of Data, CLIR Publication No. 154 (Washington, DC: Council on Library and Information Resources, August 2012), https://www.clir.org/pubs/reports/pub154/pub154.pdf.

Deborah Vincent, Marie Hastings-Tolsma, and Judith Effken, “Data Visualization and Large Nursing Datasets,” Online Journal of Nursing Informatics 14, no. 2 (Summer 2010): 1–13, http://ojni.org/14_2/Vincent.pdf.

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

Jacqueline Bichsel, Analytics in Higher Education: Benefits, Barriers, Progress, and Recommendations, research report (Louisville, CO: EDUCAUSE Center for Applied Research, August 2012), http://net.educause.edu/ir/library/pdf/ers1207/ers1207.pdf.

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Published

2017-04-06

Issue

Vol. 53 No. 3 (2017): April

Section

Chapters