Clarivate

The amount of information available today is immense and is growing geometrically. This opens a world of possibilities for researchers in disciplines like-- Business, Economics, Healthcare, Politics, Social Sciences, Mental Health, and Humanities. Unfortunately, 80-90% of data is found in an unstructured format like text and media that are a challenge to analyze. Text and data mining (TDM) is fast becoming a required skill for unlocking this content and accelerating analyses.

In this webinar you will hear from researchers at Stanford University, Princeton University and University of Chicago about how they are leveraging text and data mining to uncover insights from unstructured data, advancing the pace of their work. They’ll share their perspectives, the roles their libraries played, and how it impacted their work.

You will also hear from a librarian who is launching a Data Library infrastructure that is providing graduate students with instruction and skills that will prepare them for future research and career possibilities in analytics.

Gabriel Nicholson

Master's candidate in Computational Social Science, University of Chicago

Amy Johnson

Ph.D. candidate in Sociology, Stanford University

Ze Han

Ph.D. candidate in Political Science, Princeton University

Taylor Greene

Chair of research and Instructional Services, Performing Arts Librarian Leatherby Libraries

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The Evolving Role of the Library as a Resource for Data:

Moving from content delivery to content mining

Join us to learn about the text and data mining solutions and content that have helped these institutions and researchers achieve their goals and gain ideas on how to accelerate your library’s support for the evolving world of data and research.

Presenters