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How to Think About Data: A Conversation with Christine Borgman

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Members of the Scholars Council are appointed by the Librarian of Congress to advise on matters related to scholarship at the Library, with special attention to the Kluge Center and the Kluge Prize. The Council includes scholars, writers, researchers, and scientists. “Insights” is featuring some of the work of this group of thinkers. Dan Turello continues the series in a conversation with Christine Borgman.

Christine L. Borgman, Distinguished Research Professor and Presidential Chair Emerita in Information Studies at UCLA, is the author of more than 250 publications in information studies, computer science, and communication. These include three books from MIT Press: “Big Data, Little Data, No Data: Scholarship in the Networked World” (2015), “Scholarship in the Digital Age: Information, Infrastructure, and the Internet” (2007), and “From Gutenberg to the Global Information Infrastructure: Access to Information in a Networked World” (2000).

DT: Christine, you have a background in mathematics. What inspired you to study libraries and data?

CB: In the 1970s, women with math degrees had two career options: teaching school or programming. Having done some of each, I sought a career that combined technology, teaching, and communication. Those were the early days of library automation, and my mother, a superlative reference librarian at Wayne State University who hated computers, recognized the profession’s dire need for my skillset. Allen Kent managed an information empire at the University of the Pittsburgh that spanned the Library and Information Science graduate program, the university library, the computer center, and his NSF and NASA-funded research group. As a project director, he hired me to be a graduate student researcher on his information retrieval grants, and as my academic advisor, he allowed me to count math and computing courses in data modeling toward my Master’s in Library Science (MLS) degree.

My MLS-information science degree was ahead of its time, and an ideal qualification to become systems analyst for the Dallas Public Library. We extended a home-grown, semi-automated, circulation system into the first online catalog of a major public library. Because the library catalog system was built on the city’s IBM mainframe (in assembler language, no less), it was