Laying the Groundwork for Textual and Data Mining in Research Institutions

How librarians can foster key partnerships and literacy efforts for TDM research

A librarian using data and textual mining to help a researcher

Last fall, our friends at ACRL published Text and Data Mining Literacy for Librarians, a wide-reaching text that details how librarians are using Text and Data Mining (TDM) across disciplines and levels of expertise. In the second episode of our two-part series with ACRL, Whitney Kramer and Iliana Burgos, editors of Text and Data Mining Literacy for Librarians, move into the applications of Text and Data Mining (TDM).

Expect to learn about:

  • Key partnerships essential to TDM’s success on campus
  • How librarians can stay engaged in researcher trends and the local community
  • Licensing and legal issues
  • How vendors are responding to the uptick in TDM practices in scholarship
  • The intersection between TDM and AI literacies

Listen in:

🎧 Like what you hear? Subscribe to The Authority File podcast on Apple PodcastsSpotify, or YouTube.


About the guests:

Whitney Kramer headshot

Whitney Kramer
Research and Data Librarian, Catherwood Library
Cornell University

Whitney Kramer is the research and data librarian at Catherwood Library at Cornell University. In this role, she supports students and faculty in the School of Industrial and Labor Relations, and the Economics, and Statistics and Data Science departments who work with both structured and unstructured data. Her research interests include data literacy and the usage of text data in social science research. Her work has been published in The Data Literacy CookbookChoiceJournal of New Librarianship, and ResearchDataQ. Previously, she was the entrepreneurship and public services librarian at the Roanoke Public Libraries in Roanoke, Virginia, and the business research librarian at Lippincott Library at the University of Pennsylvania.

Iliana Burgos headshot

Iliana Burgos
Emerging Data Practices Librarian, Digital Scholarship Services
Cornell University Library

Iliana Burgos is the emerging data practices librarian at Digital Scholarship Services at Cornell University Library. She supports researchers in exploring digital and computational approaches to humanities scholarship principles. A Ronald E. McNair Scholar and American Library Association Spectrum Scholar, her research engages text data and algorithmic literacies, critical platform studies, and community-based data justice movements. She previously worked in community outreach roles as a Carolina Academic Library Association.