RCD Nexus

Research Computing and Data (RCD) Capabilities Model

The Research Computing and Data (RCD) 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 Capabilities Model was developed by a diverse group of institutions with a range of support models, in a collaboration among Internet2, CaRCC, and EDUCAUSE with support from the National Science Foundation. 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.

Want a quick summary and intro for your team? See our 1-page overview.

New online assessment tool  now available! New data exploration and benchmarking portal coming soon.

We are excited to announce that our new online assessment tool is now available,  streamlining the submission process.This new web-based version of the assessment tool offers a much better user experience and is backed by a database that provides a more robust platform for data analysis.

We are no longer accepting submissions through the former process, and encourage you to use the new tool to submit your 2023 assessments before December 31, 2023 in order to be counted in this year’s data. However, the new assessment tool will accept submissions any time of year. 

 A new online data exploration and benchmarking portal will be available early in 2024. 

How will my institution benefit?

The Capabilities Model can help you answer these questions: 

  • How well is my institution supporting computationally- and data-intensive research, and how can we get a comprehensive view of our support? 
  • What is my institution not thinking about or missing that the community has identified as significant? 
  • How can my institution (and my group) identify potential areas for improvement? 

Some common uses for the Capabilities Model include: 

  • To identify and understand areas of strength and weakness in an institution’s support to aid in strategic planning and prioritization.
  • To benchmark your institution’s support against peers – often when making an argument for increased funding to remain competitive on faculty recruitment and retention. (See the list of contributors).
  • To compare local institutional approaches to a common community model (i.e., a shared vocabulary), to facilitate communications and collaboration. 

Need help or have questions? 

Just getting started with research computing and data (RCD) and looking for a simpler approach? 

You’re not alone, and we’ve started a new Focused Tools effort to create tools that are geared at smaller and emerging programs. Check out that work here!

Want to get involved?

Join the working group and help shape the future enhancements of the tools, or contribute to the analysis of the community dataset! If you’re interested, write to us at: capsmodel-help@carcc.org or contact the chairs: Patrick Schmitz (Semper Cogito) and Dana Brunson (Internet2).

Supported by the National Science Foundation

This work has been supported in part by an RCN grant from the National Science Foundation (OAC-1620695, PI: Alex Feltus, “RCN: Advancing Research and Education through a national network of campus research computing infrastructures – The CaRC Consortium”), and by an NSF Cyberinfrastructure Centers of Excellence (CI CoE) pilot award (OAC-2100003, PI Dana Brunson, “Advancing Research Computing and Data: Strategic Tools, Practices, and Professional Development”).