The metadata representation (instance) of each openMINDS metadata schema has to be provided as JSON-LD. For a graph database and correspondingly designed metadata models, a full metadata description of a research product includes multiple, interlinked metadata instances representing various schemas.
JSON-LD is a powerful, lightweight Linked Data format, ideal for storing such collections of interlinked metadata instances of a graph database (e.g., the EBRAINS Knowledge Graph).
Please find below, a general description of a typical JSON-LD as used in the EBRAINS Knowledge Graph and the different approaches in place for writing a metadata description for your research product in form of an openMINDS conform JSON-LD metadata collection.
As stated above, openMINDS supports JSON-LD as serialization format for the metadata representations (instances) of its schemas.
The openMINDS Python API
For users with at least some programming experience, one possible way to write openMINDS conform JSON-LDs is to use the openMINDS Python API.
The openMINDS spreadsheet templates
For users with no programming experience, it is possible to provide at least openMINDS conform metadata by using the openMINDS spreadsheet templates.
