ME-ICA / ME-ICA/multi-echo-data-analysis
DataLad for multi-echo data access
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- Dominant language
- TeX
- Stars
- 6
- Forks
- 4
- PR merge metrics
- No merged PRs in 30d
Description
What do you think about using DataLad to streamline data access for publicly available ME datasets? It looks like all of the datasets used in the book that don't require a data use agreement are on OpenNeuro, i.e. they are already DataLad datasets. It will be easy to include those as subdatasets into a multi-echo "super dataset" that people can clone and then download individual subdatasets or files selectively.
Of course, we don't have to make DataLad a requirement for people working with the book's tutorials, so this could also just be an alternative for those who have datalad installed.
Additionally, if some tutorials can be run on Binder, we have this ready-made config for running datalad on binder: https://github.com/datalad/datalad-binder
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reviewing the issue's 17-comment discussion and the OpenNeuro datasets used by the book's tutorials; compare the proposed multi-echo “super dataset” and optional DataLad workflow with the datalad-binder configuration. Done would require an agreed scope and documented implementation path, but the issue does not identify files or tests.
Written by the indexing model from the issue text.
Assessment
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100