TY  - CONF
AU  - Riedel, Morris
TI  - EUDAT – Towards A Pan-European Collaborative Data Infrastructure
PB  - University of Iceland
M1  - FZJ-2015-00795
PY  - 2014
AB  - The constantly growing amounts of global, diverse, complex, but extremely valuable scientific data is an opportunity, but also a major challenge for research. In recent years, several pan-European e-Infrastructures and a wide variety of research infrastructures have been established supporting multiple research communities. But the accelerated proliferation of data arising from powerful new scientific instruments, scientific simulations and digitization of library resources, for example, have created a more urgent demand for increasing efforts and investments in order to tackle the specific challenges of data management and to ensure a coherent approach to research data access and preservation. A vision of a ‘collaborative data infrastructure’ for science was outlined by the European high level expert group on scientific data listing 12 high level requirements and 24 challenges to overcome. In this talk, we take stock of activities of the pan-European EUDAT collaborative data infrastructure that aims to address these challenges and exploit new opportunities to satisfy many of the high level requirements with concrete data services. Data Analytics techniques in context will be highlighted (e.g. machine learning algorithms, statistical data mining approaches, etc.) in order to advance in science and engineering in ways not possible before.
T2  - Vlaams Supercomputing Centrum (VSC) User Day
CY  - 16 Jan 2014 - 16 Jan 2014, Brussels (Belgium)
Y2  - 16 Jan 2014 - 16 Jan 2014
M2  - Brussels, Belgium
LB  - PUB:(DE-HGF)6
UR  - https://juser.fz-juelich.de/record/186725
ER  -