The report describes the first Research Computing and Data Capabilities Model Community Dataset, aggregating the assessments of 41 Higher Education Institutions. These assessments were completed using the 1.0 version of the Research Computing and Data Capabilities Model (RCD CM), over a period of several months in the Spring and Summer of 2020. This Community Dataset provides insight into the current state of support for RCD across the community and in a number of key sub-communities. Download it now! (zenodo.org/record/4344057).
Update August 2021: See also our PEARC21 paper (which won the Best Full Paper award for the Workforce Development, Training, Diversity, & Education track): Assessing the Landscape of Research Computing and Data Support: The 2020 RCD Capabilities Model Community Dataset (also available here if you don’t have ACM access).
The Research Computing and Data Capabilities Model allows institutions to assess their support for computationally- and data-intensive research, to identify potential areas for improvement, and to understand how the broader community views Research Computing and Data support. The Model was developed by a diverse group of institutions with a range of support models, in a collaboration among Internet2, CaRCC, and EDUCAUSE. This Assessment Tool is designed for use by a range of roles at each institution, from front-line support through campus leadership, and is intended to be inclusive across small and large, and public and private institutions.
We encourage you to check out the Capabilities Model, and begin to use it at your institution. Start with the Capabilities Model Introduction and Guide to Use, which includes background as well as tips for using the model, and a link to the access request form that will create a personalized copy of the Assessment Tool for your institution. You can also watch the recording of the EDUCAUSE webinar. Keep an eye on the RCD CM working group page for more information and updates.