% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@INPROCEEDINGS{Riedel:187363,
      author       = {Riedel, Morris},
      title        = {{E}uropean {D}ata {I}nfrastructure - {EUDAT}: {D}ata
                      {S}ervices $\&$ {T}ools},
      reportid     = {FZJ-2015-01034},
      year         = {2015},
      abstract     = {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.},
      month         = {Jan},
      date          = {2015-01-28},
      organization  = {Big Data and Extreme Scale Computing
                       2015, Barcelona (Spain), 28 Jan 2015 -
                       30 Jan 2015},
      subtyp        = {Invited},
      cin          = {JSC},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {512 - Data-Intensive Science and Federated Computing
                      (POF3-512) / EUDAT - EUropean DATa (283304)},
      pid          = {G:(DE-HGF)POF3-512 / G:(EU-Grant)283304},
      typ          = {PUB:(DE-HGF)6},
      url          = {https://juser.fz-juelich.de/record/187363},
}