Workspaces

All analyses happen in your workspace, which is your place to store, build, and analyze your dataset. For projects with multiple researchers, workspaces serve as your collaboration space for team science.

 Each workspace has four main tabs: Overview, Resources, Apps, and Workflows.

• The Overview tab includes an editable version of the workspace description provided during the workspace creation process. Note: When adding an All of Us data collection, you must adhere to the policies attached to the data collection. At that time, you will enter information such as the workspace description information under the “Researcher Use Statement Questions.” Learn more here.
• The Resources tab houses the data resources for facilitating analysis. In many cases, resources are simply multimodal data that can be managed within a workspace. There are two main types of data resources in Researcher Workbench: object-based data resources contain files and folders (i.e., storage buckets and objects), and tabular data resources contain BigQuery datasets and tables (i.e., All of Us Curated Data Repositories [CDRs], aka data collections).
• The Apps tab includes the cloud computing resources such as JupyterLab, R Analysis Environment, SAS, etc.
• The Workflows tab is where you can add, run, and monitor workflows after they have been added to the workspace.

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