EUDAT interviews with research communities about uptake plans: CLARIN sara Thu, 08/27/2015 - 10:48 This month EUDAT interviewed Dieter Van Uytvanck, the Technical Director for CLARIN ERIC, to find out about CLARIN’s ongoing work integrating its infrastructure with the EUDAT common data services. Dieter is based at Utrecht University where he is responsible for the construction and maintenance of CLARIN’s technical infrastructure. Dieter and the teams at the 31 CLARIN centres are working together with a group of central developers to connect language resources and tools so researchers in the humanities and social science can easily access and make use of these valuable resources.
Probing the fundamental constituents of matter: How ALEPH uses EUDAT for its data sara Mon, 03/30/2015 - 14:19

This month we caught up with Marcello Maggi, a senior researcher at the Istituto Nazionale di Fisica Nucleare (National Nuclear Physics Institute, or INFN) in Italy and author of about 750 scientific papers on high-energy physics.

A solid foundation for earth sciences: EUDAT interviews Massimo Cocco of EPOS

Massimo Cocco is a Director of Research at the National Institute of Geophysics and Volcanology, Department of Seismology and Tectonophysics, Rome. His research interests are focused on the physics of earthquakes and faults. More specifically, his work deals with earthquake dynamics and fault interaction, seismicity patterns and fault frictional properties. He is interested in both theoretical studies and observational research.

Data services, technology & expertise: the community perspective

Interview with Alberto Michelini, Director of the National Earthquake Center of the National Institute of Geophysics and Volcanology (INGV), Italy EUDAT is primarily designed to provide data services for European researchers (although naturally we want to make the data available for world-wide research, wherever appropriate). We have to address the needs of both researchers and members of the general public who are producing or using very large data sets for research purposes. A typical example of this kind of data comes from the continuous series of observations recorded by our networks of seismic stations over time, or from waveform simulations of earthquakes...
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