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.