If this proposal was successfully implemented then batch conversion of BIDS datasets in the EEG and MEG cases would be realized. The idea of having simple human-readable configuration files is also explored since this would help the sharing of common conversion parameters within similar communities. Here a python package is proposed to be able to infer the missing information from files accompanying the EEG and MEG files and/or a single bids-conversion example provided by the user. Currently software like mne-bids and Biscuit are available to assist and facilitate this conversion but there is still no automated way to produce a valid BIDS dataset for the EEG and MEG use-cases. Converting raw data to the BIDS standard is not difficult but requires a lot of time if done by hand.

Although developed for MRI originally, it has gained popularity within the EEG and MEG realms. SOVABIDS: A python package for the automatic conversion of MEG/EEG datasets to the BIDS standard, with a focus on making the most out of metadata Abstract #īIDS is a standard for neuroimaging datasets that helps with data sharing and reusability as a result it has been widely adopted by the community.

The following is the proposal presented to INCF and google.

Sovabids advanced week by week during the gsoc as narrated here Sovabids was born as a google summer of code project here

Gsoc proposal pdf