Open metadata markup language (odML) is a format for storing metadata in an organised human- and machine-readable way. It does not constrain the metadata content, while providing a common schema (with implementations in XML, JSON, YAML) to integrate metadata from various sources. In addition, odML facilitates and encourages standardization by providing terminologies for metadata.
Learn more: https://g-node.github.io/python-odml/
LinksTraining Resources odML webpage
odML documents that can be re-used when collecting the same kind of information over the course of multiple identical experiments templates github repository
Use odML if you would like:
An open, XML-based format to collect, store, and share metadata that is both machine- and human-readable
A format for neurophysiological data with defined terminologies
Flexible format. The basic idea of the odML approach is to combine a rather general data model with domain specific terminologies. Independence of format and content offers a maximum of flexibility. The terminologies introduce the basis for standardization that, however, can be ignored or extended when necessary