Many people have asked where RCD programs typically report in the university hierarchy. We have data from about 140 institutions using the RCD Capabilities model including a mix of different Carnegie Classifications but dominated by R1 and R2 institutions (about 2/3 of the total). Here’s how they described their reporting relationship:
While the dominant model is within central or campus IT, quite a few programs are run out of a college, department, or institute, and nearly one in six are organized under the campus research office.
These data may not represent the entire community, but are at least one source on this question.
We are often asked by community members how long it typically takes an institution to complete an assessment of their RCD support using the RCD Capabilities Model. When teams submit an assessment, we ask them about this, and so we decided to go through that data and share what we found (although we note that not all institutions provided an answer). As you might imagine, there is quite a bit of variation.
The primary objective of this research was to identify factors that attract professionals into the field of research computing and data, factors that influence their career advancements or changes within the RCD field, and factors that cause them to leave and pursue other fields.
The Research Computing and Data (RCD) Capabilities Model working group has set the deadline for contributions to the 2021 Community Dataset. Institutions must complete and submit their assessments by September 30, 2021. There’s still plenty of time to request your copy of the assessment tool, complete the assessment, and submit it using the new submission form.
Greetings, CaRCC members, from all of us in the newly formed EPSCoR CI Working Group (WG)! Our work centers around recognition that increased access to cyberinfrastructure (CI) and associated best practices is the next challenge for emerging and under-resourced institutions.
The National Science Foundation recently funded an effort (award #2033483) designed to boost awareness, communication, and partnerships using CaRCC-driven assessment and planning tools. Led by the University of Hawai’i, in collaboration with institutional partners from Alaska, Mississippi, Montana, and Nevada, the project advocates for broad use of the Research Computing and Data Capabilities Model (RCD CM) assessment tool across the nation’s Established Program to Stimulate Competitive Research (EPSCoR) jurisdictions and other emerging or under-resourced institutions (interested? Contact us).
Assessment data will be used by participating institutions in training efforts centered on CI strategic planning and partnership development. Assessment and training activities will culminate in a workshop to be held in conjunction with the NSF EPSCoR National Conference in Portland, Maine, May 22–25, 2022. An open access report, publication and related outreach activities will be made available to share findings and planning and partnership initiatives and opportunities. Check back on the working group site to keep up with our work.
Internet2, CaRCC, and EDUCAUSE are pleased to announce that there is a new version of the Research Computing and Data Capabilities Model (RCD CM) just in time for you to complete your Institutional assessment and contribute to the 2021 RCD CM Community Dataset!
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.
Have questions about how to get started with the Research Computing and Data Capabilities Model? Or are you already working with it and just want to discuss the process, or a particular aspect of the assessment tool? Join working group members and your colleagues in the community at one of our upcoming Office Hours to get help, ask your questions, and share your experiences!
Office Hours for 2021 are scheduled for the:
2nd Wednesdays of each month for 1 hour at 11am ET (new)
4th Tuesday of each month for 1 hour, at 2 pm ET.
Update: We’ve added an extra session on September 14th to help with questions leading up to the 2021 Community Dataset submission deadline (at the end of September).
Those dates are:
July 14 and 27
August 11 and 24
September 8 and 28 plusextra hour on September 14, 2pm ET
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).
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.
Version 1.0 of the Research Computing and Data Capabilities Model (RCDCM) was released in Spring of 2020. We will aggregate contributed assessment data from the community, and make this available in the Fall. If you complete an institutional assessment and contribute your results to the 2020 Community Data collection by August 30 (deadline extended to September 27) you will get access to the detailed version of the data, allowing you to benchmark your institution’s program relative to peer institutions.
We know there is broad interest in having a community dataset. 88% of the institutions who have requested to use the Assessment tool listed “Benchmarking of current service offerings” as an intended use of the model. Users of the model are fairly diverse: as of early summer, there are over 70 institutions representing 32 states, both public and private, and a mix of R1s, R2s, and institutions with emerging research programs. As more institutions participate, the more useful the Community Cata collection becomes!
Have questions about how to get started with the Research Computing and Data Capabilities Model? Or are you already working with it and just want to discuss the process, or a particular aspect of the assessment tool? Join working group members at one of our upcoming Office Hours to get help, ask your questions, and share your experiences! The next few Office Hours are scheduled for: