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| Talk (non-conference) (Invited) | FZJ-2023-05212 |
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2023
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Please use a persistent id in citations: doi:10.5281/ZENODO.10149348 doi:10.34734/FZJ-2023-05212
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.
Keyword(s): Open Science ; Open Source Software ; Research Software ; Research Software Engineering ; Data Management ; Clinical data acquisition ; Patient data
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