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@INPROCEEDINGS{Denker:893192,
      author       = {Denker, Michael},
      title        = {{NFDI} {N}euroscience: {H}ow we can uplift collaboration in
                      neuroscience},
      school       = {NMBU},
      reportid     = {FZJ-2021-02616},
      year         = {2021},
      abstract     = {Neuroscience is a highly heterogeneous discipline where
                      specialized subdisciplines investigate the nervous system
                      from various perspectives, using molecular, cellular,
                      systems, clinical, and computational approaches. This
                      diversity is paired with the demand to re-use valuable
                      empirical data, to integrate and compare data across scales
                      and modalities, and to strengthen the reproducibility of
                      neuroscience research. Therefore, it is increasingly
                      important to provide infrastructural support for the data
                      management tasks of neuroscientists, ranging from
                      large-scale infrastructures to concrete data management
                      solutions that are established in the individual
                      laboratories. In Germany, supported by three major
                      neuroscience communities, NFDI Neuroscience [1] responded to
                      the call of the DFG funding agency for consortia proposals
                      to build a national infrastructure for research data
                      (Nationale Forschungsdateninfrastruktur, NFDI). NFDI
                      Neuroscience focuses on the formation and empowerment of a
                      community for competent research data management. It will
                      assist neuroscientists in practically performing the digital
                      transformation, efficiently managing their everyday data
                      workflows in the laboratory and fulfilling current and
                      future open data requirements for data handling, processing
                      and storage according to the FAIR principles
                      (https://www.force11.org/fairprinciples). A core element in
                      the process of building the NFDI Neuroscience community will
                      be working groups, in which users and service providers join
                      in developing solutions to identified needs. In this
                      presentation, we will discuss the core ideas, structures,
                      and instruments behind the NFDI Neuroscience consortium and
                      illustrate its approach based on data management challenges
                      in electrophysiology [2].[1] Wachtler, T., Bauer, P.,
                      Denker, M., Grün, S., Hanke, M., Klein, J., Oeltze-Jafra,
                      S., Ritter, P., Rotter, S., Scherberger, H., Stein, A.,
                      Witte, O.W., 2021. NFDI-Neuro: building a community for
                      neuroscience research data management in Germany. Neuroforum
                      27, 3–15. https://doi.org/10.1515/nf-2020-0036[2] Denker,
                      M., Grün, S., Wachtler, T., Scherberger, H., 2021.
                      Reproducibility and efficiency in handling complex
                      neurophysiological data. Neuroforum 27, 27–34.
                      https://doi.org/10.1515/nf-2020-0041},
      month         = {Jun},
      date          = {2021-06-15},
      organization  = {Oslo (Norway (Virtual)), 15 Jun 2021 -
                       15 Jun 2021},
      subtyp        = {Invited},
      cin          = {INM-6 / INM-10 / IAS-6},
      cid          = {I:(DE-Juel1)INM-6-20090406 / I:(DE-Juel1)INM-10-20170113 /
                      I:(DE-Juel1)IAS-6-20130828},
      pnm          = {5235 - Digitization of Neuroscience and User-Community
                      Building (POF4-523) / HBP SGA3 - Human Brain Project
                      Specific Grant Agreement 3 (945539)},
      pid          = {G:(DE-HGF)POF4-5235 / G:(EU-Grant)945539},
      typ          = {PUB:(DE-HGF)31},
      url          = {https://juser.fz-juelich.de/record/893192},
}