FAIRsharing record for: Hierarchical Event Descriptors

This FAIRsharing record describes: HED (Hierarchical Event Descriptors) is a framework for using a controlled yet extensible vocabulary to systematically describe experiment events of all types (perceptual, action, experiment control, task …). The goals of HED are to enable and support its users to store and share recorded data in a fully analysis-ready format, and to support efficient (and/or extended cross-study) data search and analysis. HED may be used to annotate any type of data – but particularly data acquired in functional brain imaging (EEG, MEG, fNIRS, fMRI), multimodal (aka MoBI, mobile brain/body imaging), psychophysiological (ECG, EMG, GSR), or purely behavioral experiments.