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Your Email
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j.a.j.wilson@ucl.ac.uk
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Meeting Title
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The Repercussions for an Institution of a Research Data Commons
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Group Submitting the Application
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Research Data Architectures in Research Institutions (RDARI) IG
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Names and Emails of All Chairs of the Submitting Group
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| Full Name of a Group Chair |
Email of a Group Chair |
| James A J WIlson |
j.a.j.wilson@ucl.ac.uk |
| Keith Russell |
keith.russell@ardc.edu.au |
| Rory MacNeil |
rmacneil@researchspace.com |
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Group TAB liaison
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| Full Name of TAB Liaison |
Email of TAB Liaison |
| Rosella Aversa |
rossella.aversa@kit.edu |
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| Session Abstract |
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Meeting Objectives
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In this session, we will be considering the role of research institutions in relation to Research Data Commons.
A Research Data Commons is conceived as a cloud-based data platform with a governance structure that allows a community to manage, analyse, and share its data. Research Data Commons generally bring together data management tools with compute capabilities, although there is no single architecture that necessarily underpins all commons. Existing Data Commons include NIH Data Commons and the NCI Cancer Research Data Commons, with the Australian Research Data Commons in the process of building three different commons. Following the GORC model published by the Research Data Alliance late in 2023, a Research Data Commons consists of nine essential elements, including both technical and human aspects..
We will seek to address questions such as:
* What are the opportunities that a Research Data Commons can provide for an institution?
* What are the challenges for an institution of a Research Data Commons model?
* How to build your institutional architecture so it connects to and enables your researchers to best benefit from these Research Data Commons
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Meeting Presenters
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- Matt Chandler (Princeton); Gerry Reilly (BioFAIR); James A J Wilson (UCL)
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Meeting Agenda
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1) Introductions and overview of the RDARI IG (5 mins)
2) Research Data Commons and the GORC model (5 mins)
3) Presentations:
i. BioFAIR as a Research Data Commons (TBC) (Gerry Reilly) (10 mins)
ii. Bringing a Data Commons Mindset to Local Data Stores with Princeton TigerData (Matt Chandler) (10 mins)
iii. An institutional Perspective on Research Data Commons (James A J Wilson) (10 mins)
4) Facilitated Group Discussion (40 mins)
5) Summing up and Next Steps (10 mins)
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Target Audience
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This session is likely to be of interest to people working in universities and other research institutions who are involved in providing tools and services to support their researchers meet data management requirements and support the FAIR data principles. There is no specific disciplinary focus of this session.
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Related Plenary
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P23 RDA Plenary Meeting San José (12-14, November 2024)
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| About the Group |
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Group Chair Serving as Contact Person
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| Full Name |
Email Address |
| James A J Wilson |
j.a.j.wilson@ucl.ac.uk |
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Group Activities & Scope
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The Research Data Architectures in Research Institutions Interest Group is primarily concerned with technical architectures for managing research data within universities and other multi-disciplinary research institutions. It provides insight into the approaches being taken to the development and operation of such architectures and their success or otherwise in enabling good practice.
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Short Group Status
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Established, endorsed, and ongoing.
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| Session Audience |
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Estimate of the Required Venue Room Capacity
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Between 60-100 seats
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Type of Meeting
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Informative Meeting
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Additional Links to Informative Material
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- https://www.rd-alliance.org/groups/gorc-international-model-wg/
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Applicable Pathways
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- Data Infrastructures and Environments - Generalist
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| Preferences & Conflict Considerations |
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Avoid Conflict with the Following Group
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- RDA Mapping the Landscape of Digital Research Tools WG; Life Sciences Data Infrastructure IG; FAIR Data Maturity Model WG
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| Hybrid Plenary Details |
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Selection of Breakout Session Slots
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- Breakout 1. Tuesday, 12 November, 16:00-17:30 UTC
- Breakout 2. Tuesday, 12 November, 20:30-22:00 UTC
- Breakout 3. Wednesday, 13 November, 14:00-15:30 UTC
- Breakout 4. Wednesday, 13 November, 16:00-17:30 UTC
- Breakout 5. Wednesday, 13 November, 18:30-20:00 UTC
- Breakout 6. Thursday, 14 November, 16:00-17:30 UTC
- Breakout 7. Thursday, 14 November, 18:30-20:00 UTC
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Chair Acknowledgment
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Yes, I understand that at least one group chair must attend P23 in-person. We cannot accept sessions chaired fully online
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Privacy Policy
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 I agree to the privacy policy.
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