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@ARTICLE{Lablans:142747,
      author       = {M. Lablans$^*$ and E. Schmidt$^*$ and F. Ückert$^*$},
      title        = {{A}n {A}rchitecture for {T}ranslational {C}ancer {R}esearch
                      {A}s {E}xemplified by the {G}erman {C}ancer {C}onsortium.},
      journal      = {JCO clinical cancer informatics},
      volume       = {2},
      number       = {2},
      issn         = {2473-4276},
      address      = {Alexandria, VA},
      publisher    = {American Society of Clinical Oncology},
      reportid     = {DKFZ-2019-00464},
      pages        = {1 - 8},
      year         = {2018},
      note         = {JCO Clinical Cancer Informatics = 2473-4276 (import from
                      CrossRef, PubMed, )},
      abstract     = {Networking of medical institutions by means of a capable
                      data infrastructure has the potential to open up vast
                      amounts of routine data to translational cancer research.
                      However, the secondary use of information collected
                      independently in several institutions is a challenging task
                      of data integration. In this review, we discuss the
                      requirements and common challenges involved in the
                      establishment of such a platform. We present methods and
                      tools from the field of medical informatics as solutions to
                      semantic and technical heterogeneity, questions of data
                      protection and record linkage, as well as issues of trust
                      and data ownership. We also describe the architecture of an
                      existing cancer research network as an exemplary application
                      of these methods.},
      subtyp        = {Review Article},
      cin          = {G230},
      ddc          = {610},
      cid          = {I:(DE-He78)G230-20160331},
      pnm          = {317 - Translational cancer research (POF3-317)},
      pid          = {G:(DE-HGF)POF3-317},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:30652543},
      doi          = {10.1200/CCI.17.00062},
      url          = {https://inrepo02.dkfz.de/record/142747},
}