HED resources#
What is HED?#
HED (Hierarchical Event Descriptors) is a framework for describing experiment events using a standardized, machine-readable vocabulary. HED annotations enable researchers to create analysis-ready datasets that are easily searchable and shareable across studies.
HED is used across neuroimaging (EEG, MEG, fMRI), physiological (ECG, EMG, GSR), and behavioral experiments to create permanent, human- and machine-readable records of what happened during data collection.
HED is integrated into data standards like BIDS (Brain Imaging Data Structure) and NWB (Neurodata Without Borders), making it easy to share analysis-ready datasets.
Where to begin?#
New to HED? Start with the Introduction to HED for core concepts (5 min read).
Ready to get started? Use the How can you use HED? guide to find role-specific workflows and detailed guidance for your use case (experimenters, annotators, analysts, developers, or schema builders).
Need tools? Browse the HED online tools for validation, annotation, and analysis, or visit the HED standard organization on GitHub.