Earlier this week, the EOSC Future project and the Research Data Alliance (RDA) hosted a satellite event alongside the RDA 20th Plenary Meeting.
The half-day hybrid event was entitled 'Global Research Commons: Europe and Beyond'. Discussions took the form of high-level panels but also interactive presentations with community members and stakeholders on: the different types of global research commons, their priorities, examples of roadmaps and frameworks to tackle the challenges as well as understanding research community needs.
Live from the RDA 20th Plenary - 14 RDA Domain Ambassadors
This event also provided a platform to introduce and engage with 14 RDA Domain Ambassadors, selected through the RDA/EOSC Future Open Call programme to connect RDA outputs to the European Open Science Cloud and amplify project results.
These Domain Ambassadors operate in a diverse range of disciplines: Agricultural Sciences, Engineering, Earth Sciences, among others. They represent these different fields and, in turn, help to refine how RDA can deliver tailored solutions for data sharing and their sub-domain. The first outputs include needs-assessment surveys, intensive outreach, engagement programmes, mapping across communities at a global level and RDA adoption stories.
Watch the RDA/EOSC Future satellite event: Global Research Commons - Europe and beyond here.
You can also consult the event agenda for presentations and an overview of the panel discussions.
Background: RDA in EOSC Future
Throughout the EOSC Future project, the Research Data Alliance (RDA) has distributed €1 million to engage the RDA Community in EOSC. This has resulted in a diverse network and a big community for RDA in EOSC projects, to build solutions for the future and examine how different research areas approach federated data sharing.
By having these projects that explore aspects of discoverability, interoperability, data science, and software management, RDA outputs can be powered by connecting to the global community and amplifying results.
The open call program also provided support for:
- Artificial Intelligence and Data Visitation WG / NeuroImaging Data WG /
- Psychological Data IG
- Expanding RDA's Improving Global Agricultural Data (IGAD) Community of Practice