[Eeglablist] BIDS input from users

PERNET Cyril cyril.pernet at ed.ac.uk
Fri Aug 23 06:47:46 PDT 2019

Dear all,

As many of you are perhaps aware, we have been working hard on standardizing data archival and storage of electrophysiology data through extensions to the Brain Imaging Data Structure (BIDS)<https://bids-specification.readthedocs.io/en/stable/> for EEG<https://www.nature.com/articles/s41597-019-0104-8>, iEEG<https://www.nature.com/articles/s41597-019-0105-7> and MEG<https://www.nature.com/articles/sdata2018110>.

While the focus so far was on raw files, the next step is to standardize the storage of so-called derivative or processed data. In this regard, we would like to survey the electrophysiology community on its present needs and to address them in a data-driven manner. We invite researchers in the community to take 5 minutes of their time to answer this poll: https://forms.gle/k8qpW1ddyk4Hqh5q8. Your feedback and suggestions are very important to us.

BIDS derivative team for electrophysiology

Dr Cyril Pernet,
Senior Academic Fellow
Neuroimaging Sciences

Centre for Clinical Brain Sciences
Chancellor's Building, Room GU426D
The University of Edinburgh
49 Little France Crescent
Edinburgh BioQuarter EH16 4SB

cyril.pernet at ed.ac.uk
tel:  +44 (0)131 465 9530

The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

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