Accessing Behavior for Clinical Data and Joint Usage

The ABCD-J platform provides an integrated collection and analysis environment for digital biomarkers & mobile health in North Rhine-Westphalia. The overarching goal of ABCD-J is to elevate existing technical solutions for research practice adoption. To this end, we develop interoperable technologies (JTrack, DataLad, and julearn) for data collection, data management and machine learning-based data analysis. From the social perspective, the ABCD-J project aims to promote and facilitate collaboration between multiple research centers, while from the technical perspective the project will accelerate research through homogenization of workflows and processes, with particular emphasis on digital biomarker development.

Part of #

• Psychoinformatics

Objectives #

• Self-hosted research IT infrastructure (Deliverable)
• Build tools for reproducible, shareable science (Deliverable)
• Promote open science through shared data and collaboration (Long-term goal)
• Integrate psychology with informatics (Long-term goal)

People #

Currently associated #

• Jenna Swarthout Goddard (Research team member)
• Stephan Heunis (Research team member)
• Adina Wagner (Research team member)
• Simon Eickhoff (Lead, Principal investigator (PI))
• Michael Hanke (Principal investigator (PI))
• Tosca Heunis (Research team member)

Outputs #

• ABCD-J logo
• Case-e
• DataLad: Our Introduction, Your Usecases
• DataLad: An Introduction
• Open Research Software Infrastructure in Neuro-Medicine
• Data Management with DataLad