Application details

Version 6.2 by lzehl on 2021/02/24 11:51

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.

JSON-LD - the openMINDS serialization format

As stated above, openMINDS supports JSON-LD as serialization format for the metadata representations (instances) of its schemas. In the following we will briefly explain the JSON-LD syntax essential for writing a correct openMINDS instance.

Let us first start with the example of an openMINDS core schema that is not linked to any other openMINDS schema: the ContactInformation. According to its schema template (cf. its HTML), the only required property for a contact information instance is "email". Nonetheless, a valid JSON-LD needs two more properties: @type and @id.

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.

The Knowledge Graph Editor

For curators of the EBRAINS Share Data service, it is possible to register openMINDS conform metadata into the EBRAINS Knowledge Graph database by using the Knowledge Graph Editor.