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@INPROCEEDINGS{Lpez:863143,
      author       = {López, Ania},
      title        = {{D}ie {FDM}-{U}topie und der {W}eg dorthin},
      volume       = {23},
      address      = {Jülich},
      publisher    = {Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag},
      reportid     = {FZJ-2019-03242},
      isbn         = {978-3-95806-405-8},
      series       = {Schriften des Forschungszentrums Jülich Reihe Bibliothek /
                      Library},
      pages        = {5-20},
      year         = {2019},
      note         = {Festvortrag},
      comment      = {Forschungsdaten - Sammeln, sichern, strukturieren},
      booktitle     = {Forschungsdaten - Sammeln, sichern,
                       strukturieren},
      abstract     = {Digitalization has opened doors for science not only to
                      discuss the results of their research, but also to access
                      the data underlying the results in order to make the results
                      directly traceable and reusable. Good research data
                      management (RDM) is the essential core of this. While
                      research data management has been part of good scientific
                      practice in some scientific disciplines for decades, other
                      disciplines have only begun to discuss what research data
                      actually is in the course of science policy discussions over
                      the past five years. In addition, there is an equally large
                      discrepancyon the part of the infrastructure facilities.
                      While some may look back on decades ofexperience in
                      developing and operating digital research services, others
                      are trying toapproach new fields of activity through the
                      topic of research data management. While research data
                      management fundamentally reflects how scientific work
                      functions digitally, it also challenges best practices and
                      methods. Thus, it shakes the basic understanding of the
                      scientific system. In an ideal world, research data
                      management represents the foundation of a utopia of the
                      digital science landscape. In the course of the highly
                      dynamic development of the topic, infrastructure facilities
                      seek their place in this ideal scenario, just as scientific
                      actors face the high suffering pressure of an exploding
                      number of research data and methods. [...]},
      month         = {Jun},
      date          = {2019-06-04},
      organization  = {8. Konferenz der Zentralbibliothek,
                       Forschungszentrum Jülich, Jülich
                       (Germany), 4 Jun 2019 - 6 Jun 2019},
      pnm          = {899 - ohne Topic (POF3-899)},
      pid          = {G:(DE-HGF)POF3-899},
      typ          = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
      url          = {https://juser.fz-juelich.de/record/863143},
}