The Researcher Workbench features several tools to support data analysis:
- Workspace: A workspace is the place to store and analyze data for a specific project. Each Workspace has a dedicated space for file storage that can be shared with other users, allowing view-only or edit access.
- Cohort Builder: Within the workspace, the Cohort Builder’s guided user interface allows researchers to create, review, and annotate cohorts through a user-friendly point-and-click interface.
- Dataset Builder: The Dataset Builder provides users with the ability to select specific medical concepts and variables to build a data set for analysis.
- Analysis Tools: Through built-in applications like Jupyter Notebook (Python and R), RStudio, and SAS Studio, researchers can perform comprehensive analyses using programming languages R, Python, or SAS. Teams of researchers with various areas of expertise can work together on data cleaning and transformation, statistical modeling, machine learning, and more.
We offer training materials and Help Desk support for researchers who need assistance using these tools.
Additional tools may be added over time.
