The Workbench Dashboard allows researchers to create large datasets with access to a Jupyter Notebook environment where researchers can apply programmatic methods in Python or R to interrogate their chosen content. Researchers can access their institution’s ProQuest content as well as upload their own within the Workbench.
For a video walkthrough of the Workbench Dashboard visit the TDM Studio Workbench Dashboard Walkthrough.
Researchers can create as many datasets as they’d like within the Studio, but researchers can only hold up to 10 datasets at any point in time on their Workbench Dashboard. To create more than 10 datasets, researchers will need to allow their existing datasets to fully transfer over to the virtual machine, then delete these datasets from the Workbench Dashboard. Deleting datasets from the Workbench Dashboard won’t delete them from the virtual machine’s storage, allowing for storage of more than 10 datasets within Jupyter Notebook.