transparent and reproducible processing
In order to build and maintain confidence in the tedana
processing the software must provide back to the user enough information on what methods were applied to the data and which specific selection criteria were used in making denoising decisions.
Additionally it is necessary that each analysis can be reproduced and therefore the non-deterministic steps …
In order to build and maintain confidence in the tedana
processing the software must provide back to the user enough information on what methods were applied to the data and which specific selection criteria were used in making denoising decisions.
Additionally it is necessary that each analysis can be reproduced and therefore the non-deterministic steps must be able to be repeated identically by running the code with a fixed random seed.
Finally, transparent and reproducible processing will permit clear reporting of the ME-EPI results in published studies.
This milestone will close when an analysis can be reproduced by an independent researcher who has access to the same data, and when the internal decision making process for which components are selected is made accessible to the end user.