Research Data on the Digital Divide: A Public Library Case Study

Your Name and Title: Raymond Pun, Doctoral Candidate & Librarian 

Library, School, or Organization Name: California State University (CDOEL) and Alder Graduate School of Education

Area of the World from Which You Will Present: California, United States

Language in Which You Will Present: English

Target Audience(s): researchers, public librarians, educators

Short Session Description (one line): This presentation explores the open data available to understand the complexity of the digital divide in the United States. 

Full Session Description (as long as you would like): When exploring the digital divide, open data sets from city, state and federal government can be utilized for such study. However, there are also different types of data sets available that can be integrated into one's interest towards this important issue. This may include census and institutional data. This presentation will present a case study on how to analyze open data sets to understand the impact and affect of the digital divide in our communities. Based on doctoral research, the presenter will also explain how quantitative is insufficient in addressing the issue of the digital divide. Qualitative data can also provide meaningful guidance for libraries, particularly public ones to support their mission in providing effective technology services and resources, particularly to ethnic communities. The webinar is open to all interested in exploring how open data can address the digital divide, and what research approaches can enhance one's library services. 

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