Additional Options

HathiTrust

HathiTrust is a partnership of academic and research institutions, offering a collection of millions of titles digitized from libraries around the world. The HathiTrust Research Center (HTRC) enables large-scale analysis of works in the HathiTrust Digital Library (HTDL) to facilitate non-profit research and educational uses of the collection. You can learn more about both in our HathiTrust Research Guide.

The Center creates and maintains a suite of tools and services for text-based, data-driven research and engages in cutting-edge research on large-scale data analysis. HTRC makes available the collection for text and data mining purposes, while remaining clearly within the bounds of the fair use rights courts have recognized as applying to text analysis.

Getting Access

The University of Wisconsin Madison is a member institution and you can log in using your NetID credentials. 

The HathiTrust Digital Library

In the HathiTrust Digital Library, you can browse, create your own collections to explore, and view individual public domain items. 

To sign in to to the HTDL:

  1. Go to https://www.hathitrust.org/
  2. Click the “Log in” button at the top of the screen
  3. Select University of Wisconsin-Madison from the options
  4. Click continue

The HathiTrust Research Center

The HathiTrust Research Center provides access to:

  • The HathiTrust + Bookworm, a tool for visualizing word trends across the corpus
  • HTRC Algorithms, click-to-run tools for text analysis that require no programming and can be used on HathiTrust worksets
  • Datasets and APIs – including an extracted features dataset, a selection of freely available pre-created datasets, several data APIs, and other data and datasets available upon request. 
  • Data capsules – an advanced computing environment used for nonconsumptive analysis of in-copyright materials available only to HathiTrust members. 

To sign in to the HTRC:

  1. Go to https://analytics.hathitrust.org/
  2. Click the “Sign in” button at the top of the page
  3. Select “University of Wisconsin-Madison” from the drop down menu
  4. Click continue