Opened by Commissioner Moedas, the summit was an opportunity to take stock of the progress made so far, give stakeholders the possibility to review the Commission's vision for the European Open Science Cloud and building consensus on the implementation plan and next steps.
Representatives from the major EU funded pan-European e-Infrastructures, as PRACE, GÉANT, EGI, EUDAT and OpenAIRE, and other High Performance Computing (HPC) stakeholders were invited to participate in the EOSC summit as key players in the implementation of the European Open Science Cloud and its governance structure. The participants welcomed further development of a European Open Science Cloud to enable sharing and re-use of research data across scientific disciplines and borders, taking into account relevant legal, security and privacy aspects.
The session on High Performance Computing showcased the links between European Data infrastructure (HPC, data storage, connectivity) and the European Open Science Cloud. The speakers discussed also the EuroHPC declaration, signed by France, Italy, Spain, Luxembourg, Portugal, the Netherlands, Germany and Belgium, where the Member States agree to work together and with the Commission for acquiring and deploying, by 2022/2023, an integrated pan-European exascale supercomputing infrastructure that will be available across the EU for scientific communities, industry and the public sector. A detailed implementation roadmap will be defined by end 2017.
The Commission will also be working on the definition, by end of 2017, of an appropriate legal and financial instrument and a procurement framework for implementing the EuroHPC objectives.
About the European Open Science Cloud
The EOSC aims to offer Europe's 1.7 million researchers and 70 million science and technology professionals a common virtual environment with free at the point of use, open and seamless services for storage, management, analysis and re-use of research data, across borders and scientific disciplines. This will be underpinned by the European Data Infrastructure, deploying the high-bandwidth networks, large scale storage facilities and super-computer capacity necessary to effectively access and process large datasets stored in the cloud.