followed up on using datalad for provenance tracking in nipype - how to? · Issue #3294 · nipy/nipype · GitHub . Summary: I think ATM best to run datalad run or datalad containers-run on top of the entire workflow. Ideally YODA style, like in GitHub - ReproNim/containers: Containers "distribution" for reproducible neuroimaging · GitHub 