Advance Your University’s Research Mission with Text and Data Mining
Sponsored by ProQuest
Recorded on 08/11/2020Posted in Scholarly Communication and Research
Summary:
Research is evolving from all angles – and academic libraries must ensure their faculty and students have access to the latest content and technology they need to keep up.
In this webinar, you’ll hear from John Cocklin at Dartmouth College and Caroline Muglia at the University of Southern California – two academic librarians who are playing a critical part in advancing their university’s research mission by investing in text and data mining (TDM).
Our speakers will share new ways to:
- Collaborate with research teams
- Help researchers get more value from your library’s existing content using TDM
- Facilitate cross-departmental collaboration
- Support and influence research outcomes
Join us for an engaging discussion about fostering engagement between the library and the research office, and giving your researchers the tools they need to make career-defining discoveries.
Speakers:
John Cocklin
Business, Economics and Engineering Librarian Dartmouth CollegeJohn has been at Dartmouth College Library for 20 years, and is currently the Library’s liaison to the Economics Department and one of the Library’s liaisons to the Tuck School of Business. Over the years he has served the Library as Government Documents Librarian, Map Librarian, Law Librarian and Social Science Data Librarian. He brings this wealth of knowledge and experience to every research question he is asked.
Caroline Muglia
Co-Associate Dean for Collections, and Head, Resource Sharing & Collection Assessment LibrarianUniversity of Southern CaliforniaBefore USC, Caroline worked at the Library of Congress and as a Data Librarian for an educational technology company. She received her Master’s in Library and Information Science from the University of North Carolina, Chapel Hill where she focused on digital archives. Her research and teaching interests include user-driven acquisitions, assessment techniques, and the role librarians and products/systems play in choices made by users.
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