European Data Infrastructure - EUDAT: Data Services & Tools

With ever increasing scales towards extreme-scales in high performance computing large quantities of data are continuing to grow leading to a wide variety of challenges for computational sciences. Solutions are discussed in the talk of using analytics and visualizations in parallel - in-situ - to the extreme-scale simulation run in order to reduce, validate, or to even only understand the complex scientific datasets generated. Exchanging and sharing those data, replicating and archiving for later re-use, or permanently linking the data within publications are just a few challending areas for which the European Data Infrastructure EUDAT offers selected tools. The talk motivates this problem space towards extreme scales and outlines a potential set of tools and methods. one of the feasible sustainable approaches is known as a collaborative data infrastructure that encourages trust in users and, among other benefits, enables the removal of duplicate datasets