EEG Study Schema (ESS) is an XML-based specification to hold all the information necessary to analyze an EEG study (e.g., task and paradigm description, recording parameters, sensor locations, gender, handedness, age and group associations of subjects, etc.) in a format that is both human- and machine-readable (meaning the XML file may be readily formatted into a readable description of the EEG study).
ESS embeds HED descriptions (Hierarchical Event Descriptor or HED tags, see HED whitepaper for more details) of experimental events and tasks along with subject information such as handedness and gender, into an ESS XML document. Together ESS and HED provide a metadata hierarchy for describing and documenting electrophysiological studies and their recorded data. ESS is designed from a user-centered viewpoint that emphasizes simplicity and ease of use. It is created to contain all the information a researcher unfamiliar with a particular EEG (or MEG) Study needs to further analyze the data.
Please visit www.eegstudy.org for more information.