ProQuest TDM Studio

ProQuest TDM Studio is ProQuest’s text and data mining platform. This platform enables researchers to create datasets using licensed ProQuest content and analyze those datasets by running Python or R scripts in an accompanying Jupyter Notebook. The platform’s workbench - where researchers access their datasets and Jupyter Notebook (an environment that combines human-readable text with computer-readable code) - enables researchers to work collaboratively on a project.  

Using ProQuest TDM Studio, researchers can upload data and scripts to the platform, and download and export their Jupyter Notebook and code within the confines of the 15 MB weekly limit. Researchers are not able to download the datasets that are created within the platform. Researchers should have experience using Python or R to use this platform effectively.  

See ProQuest's infoguide on TDM Studio for videos, powerpoints, and recorded presentations on getting started with TDM Studio. 

Please see the following infoguides for additional help with your work of digital scholarship. 

• Text and Data Mining Sources. This guide explains where to find resources available for text and data mining, including text collections, historic newspaper and text data, and social media data. 
• Text Analysis Tools. Learn how to text mine using a variety of methods and tools, including Social Feed Manager, Voyant, Google Ngram Viewer, and OpenRefine. 
• Learn R. If you are interested in learning and applying R to your digital humanities project, this guide will point you to useful tutorials, statistical analysis in R, packages to install and load for data management and graphics, and best practices when programming in R.
• Data Visualization. Learn about data visualization, including getting started, planning, the different types, tips and tutorials, and visualization software and tools. 
• Digital Humanities. Learn about the concepts, methodologies, and tools of digital humanities, and view various digital humanities projects.