On October 25, the INCF SBP committee voted to endorse Neo as a standard, with standard number INCFSN-22-02.
Neo is an object model for handling electrophysiology data in multiple formats. It is suitable for representing data acquired from electroencephalographic, intracellular, or extracellular recordings, or generated from simulations.

Mark Alan Musen, professor of Biomedical Informatics and of Biomedical Data Science at Stanford University points out in Nature that without appropriate metadata, shared data cannot be reused and data-sharing mandates will be pointless.

The Neurodata Without Borders (NWB) team recently published a paper in eLife, “The Neurodata Without Borders ecosystem for neurophysiological data science” that describes their 8 year long effort to develop a data standard and a surrounding software ecosystem for neurophysiology data.

INCF is asking for your help to review the Neo object model for electrophysiology data, to assess its value as a community standard. Participating is simple; read the INCF SBP committee review report on F1000 and leave your feedback in the comments!

There is still time to register for our yearly neuroinformatics community meet-up and training event, the INCF Assembly in September - and we have just opened up submissions of late-breaking abstracts! Submit your abstracts by Friday August 19.