typeVoie2Etablissement (FR.RC)
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Name Name of a concept, e.g. a data model concept. In contrast to terms, the name does not depend on a given context, e.g. a country-specific language. | typeVoie2Etablissement |
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Description Informal and comprehensive human-readable definition of a concept. | Street type, line 2:
ALL: Driveway AV: Avenue BD: Boulevard CAR: Carrefour CHE: Path CHS: Road CITE: City COR: Cornice CRS: Course DOM: Domain DSC: Descent ECA: Difference ESP: Esplanade FG: Suburb GR: Grande Rue HAM: Hamlet HLE: Hall IMP: Dead end LD: Place says LOT: Allotment TUE: Market MTE: Climb PAS: Passage PL: Place PLN: Plain PLT: Tray PRO: Walk PRV: Parvis QUA: Neighborhood QUAY: Quay RES: Residence RLE: Alley ROC: Ring road RPT: Roundabout RTE: Road STREET: Street SEN: Sente - Path SQ: Square TPL: Plot TRA: Traverse VLA: Villa VLGE: Village |
Part of Hierarchical relation between two concepts of the CDQ Data Model. | Data source FR.RC |
Technical key Defines a unique key by which e.g. data model concepts can be referenced in a technical integration context. These keys are unique in the CDL context. | etablissementValue_typeVoie2Etablissement
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Parent concept Hierarchical relation between two concepts of a data model, e.g., the CDQ Data Model. | etablissementValue (FR.RC) |
Cardinality Cardinality of data model concepts.<br/><code>ZERO_OR_ONE</code>: Optional, but max. 1 instance related to its parent.<br/><code>EXACTLY_ONE</code>: Exactly 1 instance related to its parent.<br/><code>ZERO_OR_MORE</code>: Optional, multiple instances related to its parent may exist.<br/><code>ONE_OR_MORE</code>: Mandatory, multiple instances related to its parent may exist. | ZERO_OR_ONE
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Data type Data type of a data model concept, i.e., <code>ARRAY</code>, <code>BOOLEAN</code>, <code>DATE</code>, <code>ENUM</code>, <code>INTEGER</code>, <code>OBJECT</code>, or <code>STRING</code>. | STRING
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Path JSON Path to identify attributes in a data item. | ['etablissementValue.typeVoie2Etablissement']
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Concept role The role of a Category:Data model concept in the tree structure of a data model.<br/><code>ROOT</code>: Root concept in a data model, i.e., no parent concepts.<br/><code>NODE</code>: Structure concepts in a data model, i.e., parent and child concepts.<br/><code>LEAF</code>: Leaf concept in a data model, i.e., no child concepts, provides the effective data values.<br/> | LEAF
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Mapping |