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

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)

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.