This Working Group coordinates community efforts for the development of open, use case- driven and shared validatable data models (schemas, vocabularies) to enable the FAIR principles (Findable, Accessible, Interoperable and Reusable) for basic, computational and clinical neuroscience (meta)data. It uses provenance information to define the context from which scientific data was generated, including the type of data, its significance, quality and potential for integration and reuse. Data models have been developed thus far for electrophysiology, neuron morphology, brain atlases, and computational modelling. Future developments could include brain imaging, transcriptomic and clinical form data, as determined by the Working Group membership and community interests.
The following projects have adopted Neuroshapes: