Search a title or topic

Over 20 million podcasts, powered by 

Player FM logo
Artwork

Content provided by Choice. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Choice or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Player FM - Podcast App
Go offline with the Player FM app!

Addressing the TDM Literature Gap with Text and Data Mining Literacy for Librarians

13:17
 
Share
 

Manage episode 517944564 series 2848568
Content provided by Choice. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Choice or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

This 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. This month, we’re joined by two of the book’s editors, Whitney Kramer and Iliana Burgos, for a two-part series to discuss why this book is needed right now. In the series, our guests highlight the growing demand for TDM literacy among researchers and outline what makes TDM partnerships work across campus. Further, they chat about licensing agreements and copyright in relation to TDM, practical case studies in the book, and how TDM literacy might evolve from here.

In this first episode, Whitney and Iliana reveal that they started this project with their coeditor Evan Muzzall in response to a gap in the literature—there was a clear lack of guidance for librarians on how to support researchers using TDM. Next, they share their working definition for Text and Data Mining and why their call for chapter proposals specifically sought out early-career writers. Last, Whitney and Iliana underscore that librarians don’t need to become TDM experts overnight, instead recommending to approach any new technology from a “learning perspective.”

Apply promo code “ACRL20C” through December 1, 2025 for 20 percent off Text and Data Mining Literacy for Librarians.

Missed an episode? Subscribe to our monthly newsletter, Choice Podcast Updates, and check out the Authority File Round-Up on our blog, Open Stacks!

  continue reading

477 episodes

Artwork
iconShare
 
Manage episode 517944564 series 2848568
Content provided by Choice. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Choice or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

This 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. This month, we’re joined by two of the book’s editors, Whitney Kramer and Iliana Burgos, for a two-part series to discuss why this book is needed right now. In the series, our guests highlight the growing demand for TDM literacy among researchers and outline what makes TDM partnerships work across campus. Further, they chat about licensing agreements and copyright in relation to TDM, practical case studies in the book, and how TDM literacy might evolve from here.

In this first episode, Whitney and Iliana reveal that they started this project with their coeditor Evan Muzzall in response to a gap in the literature—there was a clear lack of guidance for librarians on how to support researchers using TDM. Next, they share their working definition for Text and Data Mining and why their call for chapter proposals specifically sought out early-career writers. Last, Whitney and Iliana underscore that librarians don’t need to become TDM experts overnight, instead recommending to approach any new technology from a “learning perspective.”

Apply promo code “ACRL20C” through December 1, 2025 for 20 percent off Text and Data Mining Literacy for Librarians.

Missed an episode? Subscribe to our monthly newsletter, Choice Podcast Updates, and check out the Authority File Round-Up on our blog, Open Stacks!

  continue reading

477 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Copyright 2025 | Privacy Policy | Terms of Service | | Copyright
Listen to this show while you explore
Play