Last updated on April 7, 2026
In addition to the platform itself, the service includes consultation, training, and teaching support to help you publish and share your work effectively.
Benefits
- Publish and share interactive applications (e.g., Shiny) for collaborators or broader audiences
- Host dashboards and reports that can be viewed in a web browser
- Publish scheduled reports (e.g., nightly/weekly refreshes) when configured
- Provide data-driven APIs for downstream workflows when appropriate
- Control access using authenticated sharing and permissions
- Reduce friction: move work off laptops and into a supported publishing environment
- Get consultation on deployment strategy, reliability, permissions, and troubleshooting
- Access training to help individuals and teams adopt best practices for publishing and operations
- Works with tools you already use, including RStudio, ResearchDrive, and UW–Madison's GitLab instance
- Supports both R and Python workflows
Getting started
- Request access to Posit Connect
- Prepare your content: organize your project, confirm data is appropriate for sharing and review permissions
- Publish to Connect and confirm sharing/permissions meet your needs
- Reach out for consultation if you’d like help with deployment, scheduling or best practices
Terms of use
- Data Science Platform Terms of Service
- Campus IT Policies
- Graduate School Policy on Research Data Stewardship, Access and Retention
If you are unsure whether your data or use case is appropriate for this service (e.g., sensitive or restricted data), please contact us before publishing.
Pricing
The service is available at no cost.
Related pages
Eligibility
The Data Science Platform (DSP) is intended for research purposes. UW–Madison faculty, researchers, postdocs, staff and graduate students are eligible for a Data Science Platform account.
Available to
- Faculty
- Graduate students
- Post doctorates
- Researchers
- Scientists
- Staff