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@ARTICLE{Schmidt:290237,
      author       = {C. Schmidt$^*$ and T. Boissonnet and J. Dohle and K.
                      Bernhardt and E. Ferrando-May$^*$ and T. Wernet and R.
                      Nitschke and S. Kunis and S. Weidtkamp-Peters},
      title        = {{A} practical guide to bioimaging research data management
                      in core facilities.},
      journal      = {Journal of microscopy},
      volume       = {294},
      number       = {3},
      issn         = {0022-2720},
      address      = {Oxford [u.a.]},
      publisher    = {Wiley-Blackwell},
      reportid     = {DKFZ-2024-01053},
      pages        = {350-371},
      year         = {2024},
      note         = {#EA:W650# / 2024 Jun;294(3):350-371},
      abstract     = {Bioimage data are generated in diverse research fields
                      throughout the life and biomedical sciences. Its potential
                      for advancing scientific progress via modern, data-driven
                      discovery approaches reaches beyond disciplinary borders. To
                      fully exploit this potential, it is necessary to make
                      bioimaging data, in general, multidimensional microscopy
                      images and image series, FAIR, that is, findable,
                      accessible, interoperable and reusable. These FAIR
                      principles for research data management are now widely
                      accepted in the scientific community and have been adopted
                      by funding agencies, policymakers and publishers. To remain
                      competitive and at the forefront of research, implementing
                      the FAIR principles into daily routines is an essential but
                      challenging task for researchers and research
                      infrastructures. Imaging core facilities, well-established
                      providers of access to imaging equipment and expertise, are
                      in an excellent position to lead this transformation in
                      bioimaging research data management. They are positioned at
                      the intersection of research groups, IT infrastructure
                      providers, the institution´s administration, and microscope
                      vendors. In the frame of German BioImaging - Society for
                      Microscopy and Image Analysis (GerBI-GMB),
                      cross-institutional working groups and third-party funded
                      projects were initiated in recent years to advance the
                      bioimaging community's capability and capacity for FAIR
                      bioimage data management. Here, we provide an
                      imaging-core-facility-centric perspective outlining the
                      experience and current strategies in Germany to facilitate
                      the practical adoption of the FAIR principles closely
                      aligned with the international bioimaging community. We
                      highlight which tools and services are ready to be
                      implemented and what the future directions for FAIR bioimage
                      data have to offer.},
      subtyp        = {Review Article},
      keywords     = {FAIR (Other) / OMERO (Other) / bioimaging (Other) / data
                      stewardship (Other) / research data management (Other)},
      cin          = {W650},
      ddc          = {570},
      cid          = {I:(DE-He78)W650-20160331},
      pnm          = {315 - Bildgebung und Radioonkologie (POF4-315)},
      pid          = {G:(DE-HGF)POF4-315},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:38752662},
      doi          = {10.1111/jmi.13317},
      url          = {https://inrepo02.dkfz.de/record/290237},
}