Gale Digital Scholar Lab is a cloud-based research and learning platform that allows students and researchers to apply natural language processing tools to raw text data (OCR text) from Gale’s primary source collections in a single research platform. GDSL gives you access to hundreds of archival collections (corresponding to thousands of historical sources) covering diverse topics.
You can use GDSL to:
A screenshot of the Digital Scholar Lab tool.
Here is the link to the platform:
Allows you to build, clean, and analyze text datasets using Gale's primary source collections. Analysis tools require no coding and include Named Entity Recognition, topic modeling, parts of speech, and Ngrams.
When creating an account, make sure to select your institution first. You can create an account with your @ brown.edu email and access on- or off-campus. (We will update with more specific guidance to prevent errors!)
At present, users are limited to 10,000 documents per content set. The limit was determined through consultation with our source library partners, researchers, beta testers, and programmers. It allows us to analyze analysis pipeline performance and make changes to both hardware and software to respond to computational needs in the future
For using this tool for research, methods and resource questions, and more library support
You can contact any of the librarians listed on the sidebar of this guide.
For reviewing Gale's learning documentation to better understand the tool
For technical support about the platform
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