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@INPROCEEDINGS{vonStVieth:835994,
      author       = {von St. Vieth, Benedikt and Rybicki, Jedrzej and
                      Brzeźniak, Maciej},
      title        = {{T}owards {F}lexible {O}pen {D}ata {M}anagement
                      {S}olutions},
      address      = {Rijeka, Croatia},
      publisher    = {Croatian Society for Information and Communication
                      Technology, Electronics and Microelectronics MIPRO},
      reportid     = {FZJ-2017-05119},
      isbn         = {978-953-233-090-8},
      pages        = {233-237},
      year         = {2017},
      comment      = {2017 40th International Convention on Information and
                      Communication Technology, Electronics and Microelectronics
                      (MIPRO) - Proceedings},
      booktitle     = {2017 40th International Convention on
                       Information and Communication
                       Technology, Electronics and
                       Microelectronics (MIPRO) - Proceedings},
      abstract     = {Many data sharing initiatives emerged in the recent time.
                      There are various driving factors behind this phenomena
                      subsumed under the terms Open Data and Open Research. The
                      most prominent one is the fact that more and more funding
                      agencies request publishing of all project results including
                      data. Publishing and sharing data enables the verification
                      of obtained results by facilitating repeatability and
                      reproducibility. Also economical aspects are important: Data
                      reuse can reduce the research costs, and redoing of the same
                      experimental work can be avoided (provided sufficient
                      visibility of earlier results). Publishing or Open Data is
                      also contributing to researcher's visibility and reputation.
                      The implementation of data sharing is, however, quite
                      challenging. It demands both storage technologies and
                      services that can deal with the increasing amounts of data
                      in an efficient and cost-effective way while remaining
                      user-friendly and future-proof. We describe the architecture
                      of a data management solution that is able to provide a
                      scalable, extensible, yet cost-effective storage engine with
                      several replication mechanisms. For the sake of
                      user-friendliness and high data visibility, the solution has
                      a mechanism to create flexible namespaces for a efficient
                      organization, searching, and retrieving of the data. Such
                      namespaces can be tailored to the researchers' needs,
                      potential facilitating data reuse across community borders.
                      The presented architecture embodies our experiences gathered
                      in the EU-funded project EUDAT2020.},
      month         = {May},
      date          = {2017-05-22},
      organization  = {2017 40th International Convention on
                       Information and Communication
                       Technology, Electronics and
                       Microelectronics, Opatija (Croatia), 22
                       May 2017 - 26 May 2017},
      cin          = {JSC},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {512 - Data-Intensive Science and Federated Computing
                      (POF3-512) / EUDAT2020 - EUDAT2020 (654065)},
      pid          = {G:(DE-HGF)POF3-512 / G:(EU-Grant)654065},
      typ          = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
      doi          = {10.23919/MIPRO.2017.7973425},
      url          = {https://juser.fz-juelich.de/record/835994},
}