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@INPROCEEDINGS{Wagner:1019166,
      author       = {Wagner, Adina Svenja and Dukart, Jürgen and Patil,
                      Kaustubh},
      title        = {{O}pen research software infrastructure in
                      {N}euro-{M}edicine},
      reportid     = {FZJ-2023-05212},
      year         = {2023},
      abstract     = {A virtual talk given at the ZI Mannheim Open Science
                      Symposium on open source software tools in the INM-7 of the
                      research center Jülich, and plans for a recent
                      collaborative project combing them.   Abstract: The
                      Institute of Neuroscience and Medicine: Brain and Behavior
                      (INM-7) at the research center Jülich combines clinical
                      science with open source software development and open
                      science. This talk will highlight central open source
                      software projects of our institute, and their application in
                      larger projects. As one of its developers, I will introduce
                      the data management software DataLad (www.datalad.org) and
                      some of its applications - from data management in consortia
                      to reproducible and privacy-aware data analysis at scale. In
                      addition, I will outline a recently established
                      collaborative platform for digital medicine in North Rhine
                      Westphalia, the ABCD-JU project. Building on our institute's
                      open source projects for data management, mobile health
                      applications and machine-learning (juaml.github.io/julearn),
                      it aims to establish an integrated, user-friendly, and FAIR
                      infrastructure for digital biomarker collection, storage,
                      and exchange for clinical scientists. Beyond an overview of
                      our tools and projects, this talk aims to spark discussions
                      around synergies and interoperability with projects at the
                      ZI.},
      month         = {Nov},
      date          = {2023-11-21},
      organization  = {ZI Mannheim Open Science Symposium,
                       virtual (Germany), 21 Nov 2023},
      subtyp        = {Invited},
      keywords     = {Open Science (Other) / Open Source Software (Other) /
                      Research Software (Other) / Research Software Engineering
                      (Other) / Data Management (Other) / Clinical data
                      acquisition (Other) / Patient data (Other)},
      cin          = {INM-7},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {5254 - Neuroscientific Data Analytics and AI (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5254},
      typ          = {PUB:(DE-HGF)31},
      doi          = {10.5281/ZENODO.10149348},
      url          = {https://juser.fz-juelich.de/record/1019166},
}