I try to dataladify our cohort study data adhering to YODA principles. For that I want to add for each subject a subject subdataset in the dataset containing the bidsified raw data and in each output/derivative dataset (e.g. for qsiprep). Since it takes a really long time doing this sequentally isn’t feasible. Is there a way to add a large amount of subdatasets in parallel? When running ´datalad create -d^. ` via GNU parallel it errors and some subdatasets aren’t registered in the parent dataset.
Grateful for any input.