Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Generate json and yaml files from the BIDS tree, use image03 #1

Open
agt24 opened this issue Jun 14, 2024 · 4 comments
Open

Generate json and yaml files from the BIDS tree, use image03 #1

agt24 opened this issue Jun 14, 2024 · 4 comments
Assignees
Labels
enhancement New feature or request

Comments

@agt24
Copy link

agt24 commented Jun 14, 2024

A short summary of what you would like to see in the uploader.

Briefly summarizing discussing between @agt24 @ericearl and @hjbockholt on Friday Jun 14, 2024. Additional details to be added later.

The goal is a tool to automate (as much as possible) depositing dataset in OpenNeuro and OpenNeuroPET into the NIMH Data Archive (NDA).

This repo is a fork of code @ericearl had written previously for the DCAN labs that does much of the heavy lifting already (especially with respect to creating manifest files). However, a few modification are needed:

  • The current tool is focused on fmriresults01 from the NDA data dictionary. We will instead use the image03 datatype from the NDA data dictionary.
  • The current tool requires the user to create a json and yaml file manual. In the modified version, this information will be extracted from files in the BIDS tree.
  • Our test case for development will be a recent PET dataset from NIMH https://openneuro.org/datasets/ds004733

Do you have any interest in helping implement the feature?

Yes!

Add any additional information or context about the request here.

No response

@agt24 agt24 added the enhancement New feature or request label Jun 14, 2024
@ericearl
Copy link
Member

Regarding:

This repo is a fork of code @ericearl had written previously for the DCAN labs that does much of the heavy lifting already

I would like to give credit where credit is due to:

  1. Natalie Alton (who did most of the up-front work with my guidance)
  2. Anders Perrone
  3. Luci Moore
  4. Jacob Lundquist
  5. rae McCollum
  6. Audrey Houghton

Also this way you know not all the bugs and gaps in documentation are my fault. 😄 Go team!

@agt24
Copy link
Author

agt24 commented Jun 30, 2024

@hjbockholt & @pbbaba
Just checking in on this project. Let us know if we can help with getting things started

@agt24
Copy link
Author

agt24 commented Jul 11, 2024

@hjbockholt @pbbaba @vdcalhoun
Anything we can assist with on this project?

@hjbockholt
Copy link
Collaborator

hjbockholt commented Jul 11, 2024 via email

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
enhancement New feature or request
Projects
None yet
Development

No branches or pull requests

4 participants