This documentation covers the campus shared Interactive Data Analytics Service (IDAS), provided by ITS-RS (Information Technology Services - Research Services). IDAS supports large-scale and collaborative data analytics using interactive tools such as RStudio, JupyterLab, and Jupyter Notebook. The programming languages that are currently available on IDAS are Python, R, and Julia. Users will benefit from high-performance computing resources while performing their interactive data analytic tasks.

Get started today!

Request an IDAS account for research use

Request to use IDAS for teaching a course

Request to use IDAS for teaching a workshop

Read IDAS documentation on the UIowa Wiki 

Stay up-to-date with IDAS maintenance and alerts

IDAS plans for the future

• Enable access to Argon investor queues

• Deploy IDAS resources on the cloud to meet remote demand

Milestones

• February 4, 2019 - Project kick-off meeting

• April 8, 2019 - Complete stakeholder engagements/requirements analysis

• June 4, 2019 - Classroom pilot launch

• June 21, 2019 - Research pilot launch

• August 19, 2019 - Initial functionality launch

• December 26, 2019 - RStudio available for research use. Access to LSS and Argon available

• March 17, 2020 - RStudio Classroom moved to a multi-server environment. Sessions are now evenly distributed across all nodes. Doubled the amount of compute resources available to RStudio Classroom.

Contact

Cody B Johnson and Giang Rudderham at research-computing@uiowa.edu. Support is generally available Monday - Friday, 8 AM - 5 PM, excluding University holidays. To find specific dates for University holidays, please see the Academic Calendar.