The main aim of this project is to improve reporting methods and results in neuroimaging (f/MRI, i/EEG, MEG, PET...) in order to increase transparency and reproducibility.
We want to do this by developing a checklist based on best practices guidelines that is both easy and practical to use, and that provides a computer readable output that can be used to automatically generate parts of the methods section.
The prototype apps for this checklist are listed below
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For the version for fMRI (based on Neurovault): see HERE
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For the version for PET (based an extension to BIDS): see HERE
Those apps and incoming ones are based on the following best practices guidelines:
- Best Practices in Data Analysis and Sharing in Neuroimaging using MRI
- Best Practices in Data Analysis and Sharing in Neuroimaging using MEEG
- Guideline for Reporting Standards of Eye-tracking Research in Decision Sciences
- Guidelines for the content and format of PET brain data in publications and archives: A consensus paper
You want to know more about:
- the motivations behind the project?
- the different goals of the project?
- how it is implemented?
Head over to our documentation
If you want to be kept posted about the progress of the project, you can join our google group.
For more frequent updates and behind the scenes, come and join us on the
cobidas_checklist channel on the brainhack mattermost.
Otherwise you can open a new issue on the repository itself if there is something you would like to discuss directly here.
We are looking for people to give us feedback or help us move forward.
To learn more about how to contribute see here.
Thanks goes to these wonderful people (emoji key).
For a more detailed description of the contributions, see here.
This project follows the all-contributors specification. Contributions of any kind welcome!