HED (Hierarchical Event Descriptors) is a framework for annotating event data. This site hosts HED documentation and some examples of annotation.
How do I annotate my data in HED?
Event annotation typically two forms: code-specific and event-specific. In code-specific annotation, researchers identify a small number of event classes or categories and annotate the categories with HED tags. Downstream tools then map the HED tags to event instances during analysis. In event-specific annotation, researchers tag individual event instances. One can combine these approaches, using code-specific annotation to describe common properties, for example that events with this code represent visual target events. An additional event-specific layer might be provided to label the location of the target in each individual event. Researchers can choose the layers of interest during downstream analysis. HED also supports data feature annotations.
Using HEDTools plug-in for EEGLAB
HED annotation is integrated into EEGLAB, a MATLAB toolbox for processing EEG brain imaging data. There are two ways to install the HEDTools EEGLAB plug-in:
- In EEGLAB, go to File > Manage EEGLAB extensions. Look for HEDTools and install it.
- Alternatively, you can download the plug-in zip file and extract it into EEGLAB plugins folder. Restart EEGLAB.
Check out the Quick guide to start tagging your EEG data.
Using spreadsheet and HED validators
Follow the instructions on the HED validator page to prepare your event-HED tag spreadsheet and to validate it with the HED validator.
Tagging Strategy Guide
Once you are familiar HED basics, check out the HED Tagging Strategy Guide for some practical annotation strategies.
hedtags.org is the home page for HED tag users.
hed-standard is the HED community organization repository for HED development.