The DataLad Handbook at http://handbook.datalad.org is the ultimate introduction into DataLad.
This is a WiP example on how to organize your study as DataLad dataset and use datalad-container extension to facilitate efficient and reproducible research:
# Create a dataset where we will keep all bits and pieces of a study # With -c text2git we instruct to have data files to go to annex, while # text files (code, docs, scripts) to git datalad create -c text2git 1021_actions cd 1021_actions # Install a (sub)dataset with (Singularity) containers datalad install -d . http://github.com/repronim/containers # Install ReproIn'ed dataset from rolando datalad install -d . -s rolando.cns.dartmouth.edu:/inbox/BIDS/Haxby/Sam/1021_actions bids # Getting only a sample data (1 subject) for demonstration here datalad get bids/sub-sid000005
Meanwhile, have a look at
- a bit too convoluted ATM example with either
reproman runfor scheduling parallel execution across cluster: https://github.com/ReproNim/reproman/pull/438
- and possible future answers on https://neurostars.org/t/using-fmriprep-with-datalad-containers-run/5327