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@INPROCEEDINGS{Wagner:1040340,
      author       = {Wagner, Adina Svenja and Dukart, Jürgen and Fischer, Jona
                      Marcus and Swarthout Goddard, Jenna and Hanke, Michael and
                      Heunis, Stephan and Narava, Mamaka and Raimondo, Federico
                      and Turna, Mehran and Eickhoff, Simon},
      title        = {{O}pen {R}esearch {S}oftware {I}nfrastructure in
                      {N}euro-{M}edicine},
      reportid     = {FZJ-2025-01848},
      year         = {2025},
      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 in
                      different areas: Individual groups independently develop
                      open software tools for data and reproducibility management
                      (DataLad; https://datalad.org; Halchenko et al. 2021),
                      mobile health applications (JTrack;
                      https://jtrack.readthedocs.io; Sahandi Far et al., 2021),
                      and machine-learning libraries (JuLearn;
                      https://juaml.github.io/julearn; Hamdan et al., 2024). In a
                      - , we now connect the distinct software tools with the aim
                      to establish an integrated, user-friendly, and FAIR
                      infrastructure for digital biomarker collection, storage,
                      and exchange for clinical scientists. In this contribution,
                      I want to map out the different challenges and opportunities
                      in plugging together open research infrastructure from
                      several unrelated but open source software components. In
                      addition, beyond an overview of our tools and projects, I
                      also aim to spark discussions around synergies and
                      interoperability with related software projects in medical
                      contexts.},
      month         = {Feb},
      date          = {2025-02-25},
      organization  = {deRSE 2025, Karlsruhe (Germany), 25
                       Feb 2025 - 27 Feb 2025},
      subtyp        = {After Call},
      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)24},
      doi          = {10.34734/FZJ-2025-01848},
      url          = {https://juser.fz-juelich.de/record/1040340},
}