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Research Data Alliance and global Data and Computing e-Infrastructure challenges

11 et 12 décembre 2014 - Rome, Italie
Publié le 10 décembre 2014 par Thérèse Hameau

e-Infrastructures support the Horizon 2020 vision and reinforce the strategic relevance of European investment in world-class Research Infrastructures (RI) in a context of Innovation and Open Digital Science.
The success of Europe’s €77 billion science programme – Horizon2020, running from 2014 – 2020 hangs not only on the quality of the research and the depth of collaboration, but also in curating and managing the outputs, to make them widely available and support the creation of knowledge from data. Since most R&D funding occurs at Member State level, this is obviously a topic of broader significance.

The event will focus on how synergies between e-Infrastructures and the development of the ambitious European Research Infrastructures roadmap (ESFRI) and other major initiatives with high potential impact on research and innovation can be strengthened. This implies good coordination in Europe and a special emphasis on the importance of long term sustainable support to basic services for research and education communities as well as the consolidation of global cooperation on Research Data and Computing infrastructures in the above contexts.

Promoting innovation in science: impact on growth and jobs, Opening science to society: education, training and communication and enabling the integration of institutional, regional and national research capacity including developing efficient and sustainable mechanisms for implementing research infrastructures and e-infrastructures are all topics that will be addressed in the agenda in Rome. Presented by worldwide experts on the topics, the overarching objective is to generate a reflection document for the European Commission, European Council and European Parliament as well as national and international funders and policy makers to ensure that the data and computing challenges that surround this issue are tackled at the highest possible level.

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