Christine Ecker
Christine Ecker is a professor at Goethe University Frankfurt, specializing in clinical neuroscience and psychiatry.
Q02: Data management for computational modelling
Data management and training platform. A decentralized data management
infrastructure will help focus on developmental and therapeutic longitudinal
data, training all participating researchers in the necessary skills for future
use. This strategy will lay the foundations for further data-driven
computational modelling projects in the next funding period.
This is a distributed project, with representatives at all main TRR379 sites.
As a key software solution, this project employs DataLad. DataLad is a data management software designed to facilitate the organization, sharing, and reproducibility of scientific datasets. It integrates version control with data handling, allowing researchers to track changes, collaborate efficiently, and ensure the accessibility and integrity of their data. By leveraging tools like Git and Git-annex, DataLad provides a streamlined way to manage large datasets, making it particularly valuable in fields like neuroimaging and bioinformatics.
Gabriele Ende
Gabriele Ende is a researcher associated with the Central Institute of Mental Health (ZI) in Mannheim, Germany.
Michael Hanke
Michael Hanke is a professor at the Heinrich Heine University Düsseldorf, and head of the Psychoinformatics group in the Institute for Neuroscience and Medicine (INM-7) at the Forschungszentrum Jülich.
Klaus Mathiak
B03: A process-based brain-computer interface to modulate aggressive behavior – a real-time fMRI neurofeedback study
C02: Aggressive decisions in social conflicts: Neuro-cognitive models for healthy individuals and psychiatric patients with high scores of aggression
Q02: Data management for computational modelling
Principal investigator
RWTH Aachen
Klaus Mathiak is a professor at RWTH Aachen University, specializing in psychiatry and psychotherapy.
Draft
In this work, we detail and evaluate our multi-modal teaching approach to research data management in the DataLad ecosystem, both in general and with concrete software use.