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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 for R and Jupyter Notebook for Python, R, and Julia. Users will benefit from High Performance Computing (HPC) resources while performing their interactive data analysis tasks.


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.


Cody B Johnson and Giang Rudderham at