fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.
Current documentation (especially workflow description) is ok when it comes to answering fairly technical and specific questions ("What was used to perform skull stripping?"). However, to make FMRIPREP more appealing to less knowledgeable users we should add more educational content to the documentation. The workflow description should be understandable by someone who never performed fMRI data preprocessing - explaining each processing step, describing the details of our implementation, and linking to other resources on the web and/or papers which users can use to deepen their knowledge.
Resources that could be useful when adding more educational content:
Current documentation (especially workflow description) is ok when it comes to answering fairly technical and specific questions ("What was used to perform skull stripping?"). However, to make FMRIPREP more appealing to less knowledgeable users we should add more educational content to the documentation. The workflow description should be understandable by someone who never performed fMRI data preprocessing - explaining each processing step, describing the details of our implementation, and linking to other resources on the web and/or papers which users can use to deepen their knowledge.
Resources that could be useful when adding more educational content: