ISO 8000-120:2016 PDF

Data quality — Part 120: Master data: Exchange of characteristic data: Provenance

First page of standard ISO 8000-120:2016

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Title (English):

ISO 8000-120:2016

Data quality — Part 120: Master data: Exchange of characteristic data: Provenance

Document status:: Active
Format:: Electronic (PDF)
Number of pages:: 23
Publication date:: September 23, 2016
Edition:: ISO IS 8000 edition 1 version 1
ICS:: 25.040.40

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Description (English):

ISO 8000-120:2016 specifies requirements for the representation and exchange of information about the provenance of master data that consists of characteristic data, and supplements the requirements of ISO 8000‑110. ISO 8000-120:2016 does not specify a complete model for characteristic data, nor does it specify an exchange format for characteristic data with provenance information. The following are within the scope of ISO 8000-120:2016: · scenarios for data provenance; · requirements for capture and exchange of data provenance information; · data model for data provenance information. The following are outside the scope of ISO 8000-120:2016: · exchange format for data provenance information; · scheme for registering and resolving organization identifiers and person identifiers; · provenance of data that are not characteristic data represented as property values; · configuration management; · change control; · syntax of identifiers; · resolution of identifiers. Some of the requirements in ISO 8000-120:2016 can apply to exchange of data that is not master data which consists of characteristic data represented as property values.

Technical details

Technical committee: ISO/TC 184/SC 4 - Industrial data
SKU: ISO 8000-120:2016

Abstract

Overview

ISO 8000-120:2016 - part of the ISO 8000 data quality series - defines requirements for representing and exchanging data provenance information for master data that consists of characteristic data (property values). It supplements ISO 8000-110 by specifying how to capture the history or pedigree of a property value (provenance), and includes a conceptual provenance data model. The standard is conceptual only: it does not mandate a complete characteristic-data model or a specific exchange format.

Key topics and technical requirements

Scope and purpose: Covers scenarios for data provenance, requirements for capture and exchange of provenance info, and a conceptual data model for provenance. Excludes exchange formats, identifier registration schemes, configuration/change control, and identifier syntax/resolution.
Provenance data model: Provided as a UML class diagram linking provenance to the target data model via a property_value_assignment entity.
Property value structure: A property_value_assignment pairs a value with a property identifier and must reference one or more provenance events.
Provenance events (provenance_event): Each event records provenance for a single property value and includes attributes such as event_type, organization_ref (ISO_6523 identifier), person_ref, role_ref, and when (UTC date_and_time).
Data provenance record: May be either embedded in the property value structure or stored separately and referenced. Examples use XML-style fragments but the standard does not require XML.
Conformance: Any claim of conformity to ISO 8000-120 implies conformance to ISO 8000-110.
Identifiers: Recommends use of ISO_6523_identifier for organizations; formats for person and role identifiers are left to implementers.

Practical applications

Improve master data management (MDM) by tracking origin, custody and transformations of property values.
Support data governance, quality assurance, and regulatory auditing by providing verifiable provenance trails.
Detect and manage data echoes and assess data credibility, currency and usability.
Integrate provenance into product lifecycle systems, procurement catalogs, supply chain data exchanges, and data synchronization workflows.

Who should use it

Data architects and MDM practitioners designing provenance-aware master data models.
Software vendors and integrators implementing data exchange, DTOs, or APIs that include provenance metadata.
Data governance teams, auditors, and quality managers requiring standardized provenance records.
Standards implementers mapping conceptual provenance requirements to XML/JSON/other exchange formats.

Related standards

ISO 8000-110 (syntax, semantic encoding and conformance for characteristic data)
ISO 8000-2 (vocabulary)
ISO 8000-130 (claims of data accuracy)
ISO/IEC 6523-1 and -2 (organization identifier structures)
ISO 22745-40 (examples of standards that reference ISO 8000-120)

Keywords: ISO 8000-120, data provenance, master data, characteristic data, provenance data model, property_value_assignment, provenance_event, ISO 8000-110, data quality.

Related standards

Standards mentioned in the description

Abstract

Overview

Key topics and technical requirements

Scope and purpose: Covers scenarios for data provenance, requirements for capture and exchange of provenance info, and a conceptual data model for provenance. Excludes exchange formats, identifier registration schemes, configuration/change control, and identifier syntax/resolution.
Provenance data model: Provided as a UML class diagram linking provenance to the target data model via a property_value_assignment entity.
Property value structure: A property_value_assignment pairs a value with a property identifier and must reference one or more provenance events.
Provenance events (provenance_event): Each event records provenance for a single property value and includes attributes such as event_type, organization_ref (ISO_6523 identifier), person_ref, role_ref, and when (UTC date_and_time).
Data provenance record: May be either embedded in the property value structure or stored separately and referenced. Examples use XML-style fragments but the standard does not require XML.
Conformance: Any claim of conformity to ISO 8000-120 implies conformance to ISO 8000-110.
Identifiers: Recommends use of ISO_6523_identifier for organizations; formats for person and role identifiers are left to implementers.

Practical applications

Improve master data management (MDM) by tracking origin, custody and transformations of property values.
Support data governance, quality assurance, and regulatory auditing by providing verifiable provenance trails.
Detect and manage data echoes and assess data credibility, currency and usability.
Integrate provenance into product lifecycle systems, procurement catalogs, supply chain data exchanges, and data synchronization workflows.

Who should use it

Data architects and MDM practitioners designing provenance-aware master data models.
Software vendors and integrators implementing data exchange, DTOs, or APIs that include provenance metadata.
Data governance teams, auditors, and quality managers requiring standardized provenance records.
Standards implementers mapping conceptual provenance requirements to XML/JSON/other exchange formats.

Related standards

ISO 8000-110 (syntax, semantic encoding and conformance for characteristic data)
ISO 8000-2 (vocabulary)
ISO 8000-130 (claims of data accuracy)
ISO/IEC 6523-1 and -2 (organization identifier structures)
ISO 22745-40 (examples of standards that reference ISO 8000-120)

Keywords: ISO 8000-120, data provenance, master data, characteristic data, provenance data model, property_value_assignment, provenance_event, ISO 8000-110, data quality.

ISO 8000-120:2016 PDF

Technical details

Abstract

Overview

Key topics and technical requirements

Practical applications

Who should use it

Related standards

Related standards

Abstract

Overview

Key topics and technical requirements

Practical applications

Who should use it

Related standards

Related standards

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