Each month, one of our Subject Librarians chooses an electronic resource which they feel will be of interest to you.

February’s Resource of the Month has been selected by John Southall, Bodleian Data Librarian and Subject Consultant for Economics and Sociology.

John’s choice is TDM Studio, a text and data mining platform that enables researchers to extract new value from the library’s ProQuest collections and its coverage of dissertations, newspapers, and journals. All text and data mining rights are cleared for immediate access.
Overview
TDM Studio a web-based, collaborative text and data mining platform that allows you to access and analyse large amounts of text data from ProQuest databases in a Jupyter Notebook environment.
Researchers can work either individually or collaboratively and are assigned a coding workbench. They can then build a corpus based on potentially millions of articles or other content and conduct data analysis, text mining, and visualization to uncover new relationships, patterns, and connections. Proficiency in R or Python programming languages is useful but not necessary. For those who prefer to explore the data without writing code, there are visualization tools that allow them to interact with data using a graphical interface.
A Bodleian Subject and Research Guide has been published to support this and other resources as well as outline the principles of Text and Data Mining.
Where can you access the resource
This resource can be accessed via SOLO.
Anyone with a valid University of Oxford email address can request access to TDM Studio. To request an account and workbench, please fill out this form. By default, each workbench can support 1-5 users.
To access your account once created visit https://tdmstudio.proquest.com/home and login with your University of Oxford email.