Good news for text and data mining researchers! After years of court cases and policymaking, the entire 16-million-item collection of the HathiTrust Digital Library, including content in-copyright, is available for text and data mining. (Yay!)
Previously, only non-copyrighted, public domain materials were able to be used with HTRC Analytics’ suite of tools. The restriction obviously limited ability to do quality computational research on modern history; most out-of-copyright items are texts created before 1923. With this update, everyone can perform text analysis on the full corpus with different tools. HathiTrust is membership-based, so some restrictions apply to non-member institutions and independent scholars alike (Illinois is a member institution). With the passage of this new policy, only one service, the HTRC Data Capsule (a virtual computing environment), retains members-only access to the full corpus for requesters with an established research need. There are over 140 member institutions, including University of Illinois.
Here’s a quick overview of HTRC’s tools and access permissions (from HTRC’s Documentation).
- HTRC Algorithms: a set of tools for assembling collections of digitized text from the HathiTrust corpus and performing text analysis on them. Including copyrighted items for ALL USERS.
- Extracted Features Dataset: dataset allowing non-consumptive analysis on specific features extracted from the full text of the HathiTrust corpus. Including copyrighted items for ALL USERS.
- HathiTrust+Bookworm: a tool for visualizing and analyzing word usage trends in the HathiTrust corpus. Including copyrighted items for ALL USERS.
- HTRC Data Capsule: a secure computing environment for researcher-driven text analysis on the HathiTrust corpus. All users may access public domain items. Access to copyrighted items is available ONLY to member-affiliated researchers.
Fair Use to the Rescue!
How is this possible? Through both the Fair Use section of the Copyright Act and HathiTrust’s policy of allowing only non-consumptive research. Fair Use protects use of copyrighted materials for educational, research, and transformative purposes. Non-consumptive research means that researchers can glean information about works without actually being able to read (consume) them. You can see the end result (topic models, word and phrase statistics, etc.), without seeing the entirety of the work for human reading. Allowing computational research only on a corpus protects rights holders, and benefits researchers. A researcher can perform text analysis on thousands of texts without reading them all, which is the basis of computational text analysis anyway! Our Copyright Librarian, Sara Benson, recently discussed how Fair Use factors into HathiTrust’s definition of non-consumptive research.
Ready to use HTRC Analytics for text mining? Check out their Getting Started with HTRC Guide for some simple, guided start-up activities.
For general information about the digital library, see our guide on HathiTrust.