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Data Science Platform - Getting Started

This document explains how to sign up for a Data Science Platform account and use it as part of the pilot.

What is this Pilot for?

Research data is getting bigger and the need to access more computational resources and the ability to publish their research data, code and reports using familiar, user-friendly interfaces is increasing. The Research Cyberinfrastructure group is piloting the Posit Team as a way to address these needs.

The Data Science Platform consists of two products:

  1. Workbench - a set of three IDEs (RStudio, Jupyter labs/notebooks, VSCode) to run Python and R code, with access to a moderate amount of storage and compute.
  2. Connect - a publishing platform for web apps, visualizations, models, reports, and APIs 

For more information about this service, please see our website:

How do I get access?

We have a limited number of seats for the software included on these platforms. 

Please fill out the following request form and the service team will let you know when you are approved to access the software:

To log into RStudio Workbench 

  1. Go to
  2. Click on NetID Login, and sign in via the normal NetID login process
  3. To open RStudio, select “New Project” to create an R project or “New session” to continue without a project.
  4. Use as you would RStudio or Jupyter Lab locally.

To log into Connect 

  1. Go to
  2. Click “Log in” in the upper right hand corner.
  3. Log in with your NetID credentials.
  4. See the User’s Guide for how to get started.

Configuring Connect in RStudio IDE/Workbench to publish to Connect

Note that you may need to configure your RStudio instance to use our package manager ( in the Global Options so that the appropriate packages are installed on RStudio Connect when you publish. See for more detail on this.

Need Help?

If you have trouble connecting or logging into our service or for any other questions, please contact us at and we'll get back to you ASAP.

Additionally, RStudio provides excellent help documentation and tutorials to get you started. 

For researchers

Technical Documentation (for curious IT folks)

Have Feedback?

This service is still very much in the pilot stage. If you have any questions, issues or feedback, please contact us at   We’re happy to help problem solve to improve the service.

Keywordsdata science rstudio Jupyter R RMarkdown Dash Shiny API python account CRAN login signup sign start connect publish   Doc ID112410
OwnerErwin L.GroupUW-Madison Research Data
Created2021-07-16 12:38:42Updated2024-06-06 16:17:39
SitesDoIT Help Desk, UW-Madison Research Data
Feedback  0   0