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4		-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.[[ >>https://json-ld.org/]]
	4	+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.
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7	7	[[JSON-LD>>https://json-ld.org/]] 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).
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10	10	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.
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	13	+=== JSON-LD - the openMINDS serialization format ===
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	16	+As stated above, openMINDS supports JSON-LD as serialization format for the metadata representations (instances) of its schemas.
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	18	+=== The openMINDS Python API ===
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	21	+For users with at least some programming experience, one possible way to write openMINDS conform JSON-LDs is to use the openMINDS Python API.
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	23	+=== The openMINDS spreadsheet templates ===
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	26	+For users with no programming experience, it is possible to provide at least openMINDS conform metadata by using the openMINDS spreadsheet templates.
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	28	+=== The Knowledge Graph Editor ===
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	31	+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.