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Information Visualization Skills for Academic Librarians: A Content Analysis of Publications and Online Resources in the Digital Humanities
March 8, 2018 @ 5:00 PM - 6:00 PM PST
Although information visualization has been widely adopted in digital humanities research, it remains unclear how librarians, especially academic librarians who support digital humanities research, should prepare for this emerging technology. Through a content analysis methodology, which further draws techniques from data mining, natural language processing, and information visualization, Dr. Chen analyzes three peer-reviewed journals published within the last five years and 10 online university library research guides in this field. In this presentation, Dr. Chen will discuss some findings and provide practical and actionable insights into how academic librarians can better support future endeavors in the digital humanities.
Hosted by the ASIS&T student chapter
Presenter
Dr. Michelle Chen is currently an assistant professor at School of Information, San Jose State University. Her research and teaching interests include data mining, information visualization, social media, and online user behavior. In particular, she is interested in investigating the range of motives that drive online users to seek and exchange information and the interaction dynamics shaped by the networked environments. Dr. Chen received her Ph.D. in Information Systems from the University of Texas at Austin.