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ISO 11179:2023
ISO 11179:2023 Information technology – Metadata registries (MDR) – Part 31: Metamodel for data specification registration
CDN $351.00
Description
This document provides a specification for an extension to a Metadata Registry (MDR), as specified in ISO/IEC¬†11179–3, in which metadata that describes data elements and associated concepts, such as ‚Äúdata element concepts‚Äù, ‚Äúconceptual domains‚Äù and ‚Äúvalue domains‚Äù can be registered.
The specification in this document, together with the relevant clauses of the specification in ISO/IEC¬†11179–3, provides the ability to record metadata about:
a)    data elements, units of measure and derivation rules;
b)    data element concepts and associated object classes and properties;
c)    conceptual domains, conceptual domain subsets and value meanings;
d)    value domains, value domain subsets, datatypes and permissible values.
This document is applicable to the formulation of data representations, concepts, meanings and relationships to be shared among people and machines, independent of the organization that produces the data. It is not applicable to the physical representation of data as bits and bytes at the machine level.
Edition
1
Published Date
2023-01-16
Status
PUBLISHED
Pages
76
Format 
Secure PDF
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Abstract
This document provides a specification for an extension to a Metadata Registry (MDR), as specified in ISO/IEC 11179-3, in which metadata that describes data elements and associated concepts, such as “data element concepts”, “conceptual domains” and “value domains” can be registered.
The specification in this document, together with the relevant clauses of the specification in ISO/IEC 11179-3, provides the ability to record metadata about:
a)    data elements, units of measure and derivation rules;
b)    data element concepts and associated object classes and properties;
c)    conceptual domains, conceptual domain subsets and value meanings;
d)    value domains, value domain subsets, datatypes and permissible values.
This document is applicable to the formulation of data representations, concepts, meanings and relationships to be shared among people and machines, independent of the organization that produces the data. It is not applicable to the physical representation of data as bits and bytes at the machine level.
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