% 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”.

@ARTICLE{Riedel:131935,
      author       = {Riedel, Morris and Wittenburg, Peter and Reetz, Johannes
                      and van de Sanden, Mark and Rybicki, Jedrzej and von St.
                      Vieth, Benedikt and Fiameni, Giuseppe and Mariani, Giacomo
                      and Michelini, Alberto and Cacciari, Claudio and Elbers,
                      Willem and Broeder, Daan and Verkerk, Robert and Erastova,
                      Elena and Lautenschlaeger, Michael and Budig, Reinhard and
                      Thielmann, Hannes and Coveney, Peter and Zasada, Stefan and
                      Haidar, Ali and Büchner, Otto and Manzano, Cristina and
                      Memon, Ahmed and Memon, Mohammad Shahbaz and Helin, Heikki
                      and Suhonen, Jari and Lecarpentier, Damien and Koski, Kimmo
                      and Lippert, Thomas},
      title        = {{A} data infrastructure reference model with applications:
                      towards realization of a {S}cience{T}ube vision with a data
                      replication service},
      journal      = {Journal of internet services and applications},
      volume       = {4},
      number       = {1},
      issn         = {1869-0238},
      address      = {London},
      publisher    = {Springer},
      reportid     = {FZJ-2013-01190},
      pages        = {1 -},
      year         = {2013},
      abstract     = {The wide variety of scientific user communities work with
                      data since many years and thus have already a wide variety
                      of data infrastructures in production today. The aim of this
                      paper is thus not to create one new general data
                      architecture that would fail to be adopted by each and any
                      individual user community. Instead this contribution aims to
                      design a reference model with abstract entities that is able
                      to federate existing concrete infrastructures under one
                      umbrella. A reference model is an abstract framework for
                      understanding significant entities and relationships between
                      them and thus helps to understand existing data
                      infrastructures when comparing them in terms of
                      functionality, services, and boundary conditions. A derived
                      architecture from such a reference model then can be used to
                      create a federated architecture that builds on the existing
                      infrastructures that could align to a major common vision.
                      This common vision is named as ‘ScienceTube’ as part of
                      this contribution that determines the high-level goal that
                      the reference model aims to support. This paper will
                      describe how a well-focused use case around data replication
                      and its related activities in the EUDAT project [4] aim to
                      provide a first step towards this vision. Concrete
                      stakeholder requirements arising from scientific end users
                      such as those of the European Strategy Forum on Research
                      Infrastructure (ESFRI) projects underpin this contribution
                      with clear evidence that the EUDAT activities are bottom-up
                      thus providing real solutions towards the so often only
                      described ‘high-level big data challenges’. The followed
                      federated approach taking advantage of community and data
                      centers (with large computational resources) further
                      describes how data replication services enable
                      data-intensive computing of terabytes or even petabytes of
                      data emerging from ESFRI projects.},
      cin          = {JSC},
      ddc          = {004},
      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)16},
      doi          = {10.1186/1869-0238-4-1},
      url          = {https://juser.fz-juelich.de/record/131935},
}