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.