Here we document standard practices we’ve developed while working with lots of messy data. The goal is to have a accurately-curated, provenance-tracked, usable data set as a basis for studies.
Table of contents
- Fetching Your Data
- Curating BIDS Datasets
- Interfacing with the clusters via Jupyter and MacFuse
- Atom on the clusters (with GitHub)
- Running Pipelines with DataLad