OHBM 2022 Part 1: Bridging the annotation gap with HED
Автор: Hierarchical Event Descriptors (HED)
Загружено: 2023-04-25
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Описание:
HED (‘Hierarchical Event Descriptors’, pronounced either as /hed/ or /H//E//D/) is a framework for using a controlled yet extensible vocabulary to systematically describe experiment events of all types (perceptual, action, experiment control, task …).
HED enables users to use a standard method to detail the nature of each experiment event, and to record information about experiment organization, thus creating a permanent, both human- and machine-readable record embedded in the data record for use in any further analysis, re-analysis, and meta/mega-analysis.
For more information about HED tags, visit www.hedtags.org.
HED and its supporting infrastructure is community-based and entirely open source.
Part 1 of Annotating the Experimental Timeline (OHBM 2022 Short course on Neuroinformatics)
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