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@ARTICLE{Schmidt:182717,
      author       = {C. Schmidt$^*$ and J. Hanne and J. Moore and C. Meesters
                      and E. Ferrando-May$^*$ and S. Weidtkamp-Peters},
      title        = {{R}esearch data management for bioimaging: the 2021
                      {NFDI}4{BIOIMAGE} community survey},
      journal      = {F1000Research},
      volume       = {11},
      issn         = {2046-1402},
      address      = {London},
      publisher    = {F1000 Research Ltd},
      reportid     = {DKFZ-2022-02875},
      pages        = {638},
      year         = {2022},
      note         = {#EA:W650#},
      abstract     = {Background. Knowing the needs of the bioimaging community
                      with respect to research data management (RDM) is essential
                      for identifying measures that enable adoption of the FAIR
                      (findable, accessible, interoperable, reusable) principles
                      for microscopy and bioimage analysis data across
                      disciplines. As an initiative within Germany's National
                      Research Data Infrastructure, we conducted this community
                      survey in summer 2021 to assess the state of the art of
                      bioimaging RDM and the community needs. Methods. An online
                      survey was conducted with a mixed question-type design. We
                      created a questionnaire tailored to relevant topics of the
                      bioimaging community, including specific questions on
                      bioimaging methods and bioimage analysis, as well as more
                      general questions on RDM principles and tools. 203 survey
                      entries were included in the analysis covering the
                      perspectives from various life and biomedical science
                      disciplines and from participants at different career
                      levels. Results The results highlight the importance and
                      value of bioimaging RDM and data sharing. However, the
                      practical implementation of FAIR practices is impeded by
                      technical hurdles, lack of knowledge, and insecurity about
                      the legal aspects of data sharing. The survey participants
                      request metadata guidelines and annotation tools and endorse
                      the usage of image data management platforms. At present,
                      OMERO (Open Microscopy Environment Remote Objects) is the
                      best known and most widely used platform. Most respondents
                      rely on image processing and analysis, which they regard as
                      the most time-consuming step of the bioimage data workflow.
                      While knowledge about and implementation of electronic lab
                      notebooks and data management plans is limited, respondents
                      acknowledge their potential value for data handling and
                      publication. Conclusions. The bioimaging community
                      acknowledges and endorses the value of RDM and data sharing.
                      Still, there is a need for information, guidance, and
                      standardization to foster the adoption of FAIR data
                      handling. This survey may help inspiring targeted measures
                      to close this gap.},
      cin          = {W650},
      ddc          = {610},
      cid          = {I:(DE-He78)W650-20160331},
      pnm          = {315 - Bildgebung und Radioonkologie (POF4-315)},
      pid          = {G:(DE-HGF)POF4-315},
      typ          = {PUB:(DE-HGF)16},
      doi          = {10.12688/f1000research.121714.1},
      url          = {https://inrepo02.dkfz.de/record/182717},
}