e-infrastructures

in Europe

 

Knowledge Base

The Research Data Alliance, together with ENVRI, is organizing the RDA EU - ENVRI Summer School on Data Management and Data Science, taking place 12-16 June 2017 in Helsinki/Espoo, Finland.
At the occasion of the Digital Infrastructures for Research (DI4R) Conference, held in Krakow, Poland in the Fall of 2016, we were able to speak with Steve Cotter, the new CEO of GEANT, the the
During the 4th National eScience Symposium, held in Amsterdam ArenA last October, we had the opportunity to talk with Ronald Stolk, who is working at the Medical Center at the University of Groningen
RSS (Opens New Window)

Science today is difficult to imagine without a strong IT component. In Europe science that depends on IT is called eScience.  IT infrastructures that support eScience are called e-Infrastructures. There is a long tradition to develop e-Infrastructures in Europe, and to try to connect them into continent wide e-Infrastructures. This to allow reasearchers from different countries to work together using the same computers.

The Value of Data and Trust

European Commission Vice-President for the Digital Agenda Neelie Kroes recently emphasised that “data is the currency of modern science”. Extending the metaphor of “data as currency” with the...

Data Access and Management in the EUDAT Collaborative Data Infrastructure

EUDAT, the European Data e-Infrastructure Initiative, is working at a European level, in a global context. Maximising the value of twenty-first century digital research is no longer a regional, nor...

Federated Operations

The Federated Operations solution is primarily aimed at Research Infrastructures and Resource Centres already within the European Grid Infrastructure EGI community or wishing to become part of it....

Secure, federated data-analysis capability for the European Research Area

An EGI strategy to tackle society’s grand challenges by providing a powerful, secure, efficient and scalable research infrastructure and associated support services for leading-edge data analytics.

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