(as of August 2020)
groups with established membership, objectives, and timelines for outcomes and products
People Network Track Coordinators: This sustaining group aims to foster, build and grow the inclusive CaRCC community (termed the “People Network”) of campus CI, research computing and data professionals. Each of several, focused discussion tracks within the Network has monthly virtual sessions and are coordinated by volunteers.
Engagement: A team of individuals working to increase the visibility of and participation in CaRCC’s s community-driven activities, especially to organizations and individuals that are underrepresented.
Professionalization: This working group will further disseminate and develop new frameworks and approaches to guide conversations between Human Resources leaders and Research Computing and Data leaders around attracting, retaining, diversifying, and developing research computing and data and cyberinfrastructure talent.
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.
discussion groups organized around common interests, which may motivate evolution to a working group with specific objectives
Decadal Survey: The Decadal Survey group aims to develop a decadal survey (akin to what has been done in astronomy and other fields) for research computing and data to distribute to the broader community to potentially guide joint efforts.
Ecosystem: A workshop bringing elements of the community together was held in April 2019 to explore opportunities to socialize and ultimately sustain the larger CI and research computing and data ecosystem, with an update on outcomes and next steps forthcoming.
Funding and Sponsorship: The Funding and Sponsorship group aims to identify opportunities for private or foundational support for CaRCC’s operating costs.
Stakeholders and Value Proposition: This group documented the value of collective buy-in and collaboration to advance the field of research computing and data. The latest draft is here and open to input via firstname.lastname@example.org.
If you’re interested in starting a group, check out our document (and help us improve it) describing startup process, roles, and expectations.