This title appears in the Scientific Report :
2023
Please use the identifier:
http://dx.doi.org/10.34734/FZJ-2023-05212 in citations.
Please use the identifier: http://dx.doi.org/10.5281/ZENODO.10149348 in citations.
Open research software infrastructure in Neuro-Medicine
Open research software infrastructure in Neuro-Medicine
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 cente...
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Personal Name(s): | Wagner, Adina Svenja (Corresponding author) |
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Dukart, Jürgen / Patil, Kaustubh | |
Contributing Institute: |
Gehirn & Verhalten; INM-7 |
Imprint: |
2023
|
DOI: |
10.34734/FZJ-2023-05212 |
DOI: |
10.5281/ZENODO.10149348 |
Conference: | ZI Mannheim Open Science Symposium, virtual (Germany), 2023-11-21 - |
Document Type: |
Talk (non-conference) |
Research Program: |
Neuroscientific Data Analytics and AI |
Subject (ZB): | |
Link: |
OpenAccess |
Publikationsportal JuSER |
Please use the identifier: http://dx.doi.org/10.5281/ZENODO.10149348 in citations.
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. |