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60	60	Through the integration pipeline of the openMINDS generator, the openMINDS vocabulary is automatically gathered and stored in the main openMINDS GitHub in order to centrally maintain general definitions and references for **types** and **properties** used in schemas across all openMINDS repositories. How this works is explained in the following.
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63		-Schema types and properties are stored in dedicated JSON files (**##types.json##** and **##properties.json##**) under the folder **##vocab##** located in the main openMINDS GitHub directory. Each schema type and property occurring in the openMINDS metadata models is automatically represented in those files as nested dictionaries. Here a cutout of the **##types.json##** and **##properties.json##**:
	63	+Schema types and properties are stored in dedicated JSON files (**##types.json##** and **##properties.json##**) under the folder **##vocab##** located in the main openMINDS GitHub directory. Each schema type and property occurring in the openMINDS metadata models is automatically represented in those files as nested dictionaries. Here a cutout of the **##types.json##**:
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65	65	{{code language="json"}}
66	66	{
67	67	...,
68	68	"https://openminds.ebrains.eu/core/Person": {
69		- "description": "Structured information on a person.",
	69	+ "description": "Structured information on a person (alive or dead).",
70	70	"name": "Person",
71	71	"translatableTo": [
72	72	"https://schema.org/Person"
...	...	@@ -76,6 +76,8 @@
76	76	}
77	77	{{/code}}
78	78
	79	+... and a cutout of the **##properties.json##**:
	80	+
79	79	{{code language="json"}}
80	80	{
81	81	...,
...	...	@@ -95,9 +95,12 @@
95	95	{{/code}}
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98		-The keywords of those nested dictionaries are pre-defined to consistently capture for all schema types and properties their namespace, their occurrence, their general description, and possible references to related or matching schema types and properties of other metadata initiatives (e.g., schema.org). This setup also allows us to define some values/entries to be automatically filled in by the openMINDS integration pipeline with each commit to one of the openMINDS repositories (e.g., the namespace and occurrence) and others to be manually editable later on (e.g., the general description and references).
	100	+The keywords of those nested dictionaries are pre-defined to consistently capture for all schema types and properties their namespace, their occurrence (cf. **##"schemas"##** in **##properties.json##**), their general description (cf. **##"description"##** in **##types.json##** and **##properties.json##**), and possible references to related or matching schema types (cf. **##"translatableTo"##** in **##types.json##**) and properties (cf. **##""sameAs""##** in **##properties.json##**) of other metadata initiatives (e.g., schema.org).
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	103	+This setup also allows us to define some values/entries to be automatically filled in by the openMINDS integration pipeline with each commit to one of the openMINDS repositories (**##"name"##**, **##"schemas"##**) and others to be manually editable later on (**##"description"##**, **##"translatableTo"##**, **##"sameAs"##**, **##"nameForReverseLink"##**).
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101	101	For security, outdated entries in those openMINDS vocabulary files (e.g., because the namespace of the schema type or property changed or the schema type or property was deleted) are not automatically deleted, but kept and marked as being deprecated. After evaluation, deprecated schema types or properties can be deleted manually from openMINDS vocabulary.
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