16 June 2021 to 18 June 2021

Implementing an inclusive European Open Science Cloud

The European Open Science Cloud has finally entered its highly-anticipated implementation phase. The EOSC Symposium will provide a key engagement opportunity for the EOSC community. 

The foundation of the EOSC Association in 2020 is a key element of the implementation phase (2021-2027). Building on the EOSC SRIA, the Association will establish a number of Advisory Groups and Task Forces by June. These will focus on priority areas as we enter into the implementation phase. 

At the same time, a plethora of EU, regionally and nationally funded research projects are carrying out activities, and actually producing key exploitable results which can contribute to this new phase.

The Symposium also offers an inclusive platform for all stakeholders to share objectives, visions, activities and results in order to shape the future of the EOSC. 

The Symposium is organised by the project as part of its support to the EOSC Governance.

How to contribute

In late April, the programme committee will be launching a call for contributions based on the priority areas for the implementation phase of the EOSC. Details on topics for the call will be published then. Participation may include presentations, flash presentations, participation in panel discussion, publication of one-page overview

FAIRsFAIR in EOSC Symposium

16 June - 14:00/14:45 - Research careers and curricula

Federica Garbuglia, from European University Association will present "Fostering the uptake of FAIR data competences in university teaching", while  Hugh Shanahan, from Royal Holloway and University of London will present "Developing communities of Data Steward instructors and data enabled Researchers with FAIRsFAIR and the CODATA-RDA schools". Both they will be part of the panel discussion "14:40 – 15:10 Data stewardship curricula and career paths".

18 June - 11:15/13:00 - Metadata and data quality

Maaike Verburg, from DANS, will present the FAIR Aware tool, at the session "12:10 - 12:35 FAIR metrics and data quality"


35,579 Read