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@INPROCEEDINGS{Riedel:186725,
      author       = {Riedel, Morris},
      title        = {{EUDAT} – {T}owards {A} {P}an-{E}uropean {C}ollaborative
                      {D}ata {I}nfrastructure},
      school       = {University of Iceland},
      reportid     = {FZJ-2015-00795},
      year         = {2014},
      abstract     = {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.},
      month         = {Jan},
      date          = {2014-01-16},
      organization  = {Vlaams Supercomputing Centrum (VSC)
                       User Day, Brussels (Belgium), 16 Jan
                       2014 - 16 Jan 2014},
      subtyp        = {Invited},
      cin          = {JSC},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {412 - Grid Technologies and Infrastructures (POF2-412) /
                      EUDAT - EUropean DATa (283304)},
      pid          = {G:(DE-HGF)POF2-412 / G:(EU-Grant)283304},
      typ          = {PUB:(DE-HGF)6},
      url          = {https://juser.fz-juelich.de/record/186725},
}