Hauptseite > Publikationsdatenbank > Open Research Software Infrastructure in Neuro-Medicine > print |
001 | 1040340 | ||
005 | 20250304202150.0 | ||
024 | 7 | _ | |a 10.34734/FZJ-2025-01848 |2 datacite_doi |
037 | _ | _ | |a FZJ-2025-01848 |
100 | 1 | _ | |a Wagner, Adina Svenja |0 P:(DE-Juel1)178612 |b 0 |e Corresponding author |u fzj |
111 | 2 | _ | |a deRSE 2025 |g deRSE25 |c Karlsruhe |d 2025-02-25 - 2025-02-27 |w Germany |
245 | _ | _ | |a Open Research Software Infrastructure in Neuro-Medicine |
260 | _ | _ | |c 2025 |
336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
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520 | _ | _ | |a 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. |
536 | _ | _ | |a 5254 - Neuroscientific Data Analytics and AI (POF4-525) |0 G:(DE-HGF)POF4-5254 |c POF4-525 |f POF IV |x 0 |
700 | 1 | _ | |a Dukart, Jürgen |0 P:(DE-Juel1)177727 |b 1 |u fzj |
700 | 1 | _ | |a Fischer, Jona Marcus |0 P:(DE-Juel1)173663 |b 2 |u fzj |
700 | 1 | _ | |a Swarthout Goddard, Jenna |0 P:(DE-Juel1)207913 |b 3 |u fzj |
700 | 1 | _ | |a Hanke, Michael |0 P:(DE-Juel1)177087 |b 4 |u fzj |
700 | 1 | _ | |a Heunis, Stephan |0 P:(DE-Juel1)187419 |b 5 |u fzj |
700 | 1 | _ | |a Narava, Mamaka |0 P:(DE-Juel1)190196 |b 6 |u fzj |
700 | 1 | _ | |a Raimondo, Federico |0 P:(DE-Juel1)185083 |b 7 |u fzj |
700 | 1 | _ | |a Turna, Mehran |0 P:(DE-Juel1)177922 |b 8 |u fzj |
700 | 1 | _ | |a Eickhoff, Simon |0 P:(DE-Juel1)131678 |b 9 |u fzj |
856 | 4 | _ | |u https://juser.fz-juelich.de/record/1040340/files/abcd-j.pdf |y OpenAccess |
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913 | 1 | _ | |a DE-HGF |b Key Technologies |l Natural, Artificial and Cognitive Information Processing |1 G:(DE-HGF)POF4-520 |0 G:(DE-HGF)POF4-525 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Decoding Brain Organization and Dysfunction |9 G:(DE-HGF)POF4-5254 |x 0 |
914 | 1 | _ | |y 2025 |
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