1. Taking the Plunge in Text and Data Mining: Changes in Library Services and PQ Data Delivery
Julia Thorne, ProQuest

2. What is Text and Data Mining?

3. Landscape – Text and Data Mining
Physical
Automated
Virtual
Personal
Landscape – Text and Data Mining

4. Landscape – Text and Data Mining
Digital Collections Librarian
Metadata And Digital Production Librarian
Digital Metadata Technician
Digital Project Manager
Research Data Manager
Interactive Technology Consultant
Institutional Repository Coordinator
Microfilm Coordinator
Digital Scholarship

5. Industry Wide Best Practice
Positives
Plethora of data available to all researchers
Support: virtual computer set up.
Challenges
Researchers need clean data, and lots of it!
Copyright is restrictive.
Support is limited so students and researchers are turning to librarians for help

6. What ProQuest are currently doing

7. Case Study – Robots Reading Vogue

8. n-gram Search
Mink
Fox
Skunk
Faux

9. Topic modelling

10. Case Study – Robots Reading Vogue
How did the Vogue project happen? What does it take to make a project like this happen?
Clean and rich data provided by ProQuest
A Digital Humanities Lab at Yale University
Researchers, students, and librarians interested in supporting the Digital Humanities

11. What’s next?

12. Thank you