Practical solutions to follow open science best practices in fMRI research. Learn how to comply with transparency best practices with little overhead!
Scientific communities are increasingly calling for more transparent research practices. Ideally, to maximise impact of our research, analysis code, data and manuscript should all be made available to the research community. But in practice, this can prove to difficult and time consuming.
This course explores current solutions to share data and code in support of the publication of an fMRI study and provides simple recipes for different levels of data and code sharing.
The course will be developed on GitHub and launched as a website. Preview is available at: https://easyreporting.github.io/fmri_reporting/.
All contributions are very welcome!
In particular, we are very interested to hear from you if you've published data or code in relation to an fMRI experiment and would like to share your thoughts on this experience. Please do open an issue describing your use-case and briefly outlining the tools ans method you used.
For other ways to get involved, please have a look at our open issues.
Please have a look at our contribution guidelines.
This project was started as part of Mozilla Open Leadership Training Round 3. Contributors are asked to follow Mozilla Community Participation Guidelines.