Poster (After Call)

FZJ-2025-01848

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Open Research Software Infrastructure in Neuro-Medicine

Wagner, A. S. (Corresponding author)FZJ* ; Dukart, J.FZJ* ; Fischer, J. M.FZJ* ; Swarthout Goddard, J.FZJ* ; Hanke, M.FZJ* ; Heunis, S.FZJ* ; Narava, M.FZJ* ; Raimondo, F.FZJ* ; Turna, M.FZJ* ; Eickhoff, S.FZJ*

2025

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Please use a persistent id in citations: doi:10.34734/FZJ-2025-01848

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.

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Contributing Institute(s):

1. Gehirn & Verhalten (INM-7)

Research Program(s):

1. 5254 - Neuroscientific Data Analytics and AI (POF4-525) (POF4-525)

Appears in the scientific report 2025

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