<scp>TORCHLITE</scp>: New, Open Analytical Tools and Infrastructure for a Mega‐Scale Digital Library
ABSTRACT This paper introduces TORCHLITE, an innovative HathiTrust Research Center (HTRC) open analytical and computational framework designed to offer efficient, open, and approachable access to the HTRC Extracted Features (EF) dataset via a well‐documented web‐based API. This poster will summarize project goals and progress, and discuss community engagement, which has played a pivotal role in this project. During a hackathon event held in spring 2024, TORCHLITE fostered collaboration among digital humanities and information science scholars to develop widgets and notebooks utilizing the EF API. Through the hackathon, participants explored the API's capabilities, leading to the creation of over a dozen analytical widgets and interactive programming notebooks (e.g., Jupyter).
Authors
- J. Stephen Downie (ORCID: https://orcid.org/0000-0001-9784-5090)
- Ryan Dubnicek (ORCID: https://orcid.org/0000-0001-7153-7030)
- Janet Swatscheno (ORCID: https://orcid.org/0000-0002-2675-5124)
- John Walsh (ORCID: https://orcid.org/0000-0002-1824-210X)
- Manika Lamba (ORCID: https://orcid.org/0000-0002-2022-3098)
- Glen Worthey (ORCID: https://orcid.org/0000-0003-2785-0040)
- Deren Kudeki
- Jennifer Christie
Institutions
- University of Michigan (US)
- Indiana University (US)
Publication Details
- Journal
- Proceedings of the Association for Information Science and Technology
- Published
- 2024-10-01
- DOI
- https://doi.org/10.1002/pra2.1160
- Primary Topic
- Research Data Management Practices
- Type
- article
- Field-Weighted Citation Impact
- 0.00