ISO 8000-140:2016

Data quality - Part 140: Master data: Exchange of characteristic data: Completeness

ISO 8000-140:2016 is an optional addition to ISO 8000‑120 and specifies requirements for representation and exchange of information about completeness of master data that consists of characteristic data. NOTE 1 ISO 8000‑110 specifies that such data be represented as property values. ISO 8000‑120 provides additional requirements for property values when data provenance information needs to be captured. ISO 8000-140:2016 does not specify a complete model for characteristic data, nor does it specify an exchange format for characteristic data with data completeness information. NOTE 2 This is done in other standards that reference this part of ISO 8000, e.g. ISO/TS 22745‑40. The following are within the scope of this part of ISO 8000: - requirements for capture and exchange of data completeness information in the form of statements and assertions of data completeness; - conceptual data model for data completeness information in the form of statements and assertions of data completeness. The following are outside the scope of this part of ISO 8000: - requirements for data completeness; NOTE 3 The requirements for data completeness depend on many factors, e.g. the kind of data, how the data are being used, industry, and needs of the partners exchanging the data. It is not possible to state general requirements for data completeness. - exchange format for data completeness information; - scheme for registering and resolving organization identifiers and person identifiers; - completeness of data that are not characteristic data represented as property values; - syntax of identifiers; - resolution of identifiers. Some of the requirements in ISO 8000-140:2016 can apply to exchange of data that is not master data which consists of characteristic data represented as property values.

Qualité des données — Partie 140: Données permanentes: Échange de données caractéristiques: Complétude

General Information

• Status: Published
• Publication Date: 22-Sep-2016
• ICS: 25.040.40 - Industrial process measurement and control
• Technical Committee: ISO/TC 184/SC 4 - Industrial data
• Drafting Committee: ISO/TC 184/SC 4/WG 13 - Industrial Data Quality
• Current Stage: 9093 - International Standard confirmed
• Start Date: 30-Dec-2021
• Completion Date: 13-Dec-2025

Relations

• Revises: ISO/TS 8000-140:2009 - Data quality - Part 140: Master data: Exchange of characteristic data: Completeness
• Effective Date: 06-Jul-2012

Overview

ISO 8000-140:2016 - Data quality: Master data - Exchange of characteristic data: Completeness defines requirements for representing and exchanging information about the completeness of master data that consists of characteristic data (represented as property values). It is an optional extension to ISO 8000-120 and focuses on how to record, state and assert data completeness for property values, and on a conceptual completeness data model - not on exchange formats or a complete model for characteristic data.

Key topics and technical requirements

• Scope and purpose
  • Specifies requirements for capture and exchange of data completeness information as statements and assertions.
  • Provides a conceptual data model for completeness information (UML class diagram, clauses 6–9).
  • Does not define data completeness thresholds, exchange formats, identifier registration or identifier syntax/resolution.
• Completeness data model
  • Core entities: property_value_assignment (intersection with target data model), completeness_event, completeness_method.
  • UML diagram and entity relationships show how completeness events link to property values (clause 6).
• Completeness event
  • Records an event where completeness was declared: attributes include details, event_type (statement or assertion), method, organization_ref, person_ref, and timestamp (when).
• Completeness method
  • Describes how completeness is measured (examples: percent, real number 0–1, qualitative labels), with name and description.
• Statements vs Assertions
  • Statement: a factual description enabling recipients to judge fitness for use.
  • Assertion: a written declaration that a property value meets an objective measure; must include the measure claimed, claim process, contact address for service, and remedies if the measure is not met.
• Data completeness record
  • The completeness record for a property value documents derivation and custodial history; it can be embedded within the property value structure or stored separately and referenced (examples in clause 9).
• Conformance
  • Conformance requirements are specified (see clause 10) for implementers to follow the model.

Applications and users

• Practical for data stewards, master data managers, system integrators, suppliers, buyers, and IT architects who need to:
  • Communicate completeness status of product or master data across organizations.
  • Integrate completeness metadata with ERP, PLM, PIM or data exchange processes.
  • Support contractual claims about data completeness (assertions) and traceability of property values.
• Useful in industries with complex supply chains (manufacturing, engineering, procurement) where transparent data quality and provenance are required.

Related standards

• ISO 8000-110 (property values / representation)
• ISO 8000-120 (provenance of characteristic master data)
• ISO 8000-2 (vocabulary)
• ISO/TS 22745‑40 (example of an exchange format referencing ISO 8000-140)
• ISO/IEC 6523 (organization identifier structure referenced by ISO 8000-140)

Keywords: ISO 8000-140:2016, data quality, master data, data completeness, characteristic data, completeness data model, data provenance, property values, completeness record.

Standards Content (Sample)

INTERNATIONAL ISO
STANDARD 8000-140
First edition
Data quality —
Part 140:
Master data: Exchange of
characteristic data: Completeness
Qualité des données —
Partie 140: Données permanentes: Échange de données
caractéristiques: Complétude
PROOF/ÉPREUVE
Reference number
©
ISO 2016
© ISO 2016, Published in Switzerland
All rights reserved. Unless otherwise specified, no part of this publication may be reproduced or utilized otherwise in any form
or by any means, electronic or mechanical, including photocopying, or posting on the internet or an intranet, without prior
written permission. Permission can be requested from either ISO at the address below or ISO’s member body in the country of
the requester.
ISO copyright office
Ch. de Blandonnet 8 • CP 401
CH-1214 Vernier, Geneva, Switzerland
Tel. [phone]
Fax [phone]
[e-mail]
www.iso.org
ii © ISO 2016 – All rights reserved

Contents Page
Foreword .iv
Introduction .v
1 Scope . 1
2 Normative references . 1
3 Terms and definitions . 2
4 Abbreviated terms . 2
5 General . 2
6 Completeness data model . 2
6.1 Referenced types and entities . 2
6.2 Diagram . 2
6.3 completeness_event . 3
6.4 completeness_method . 3
7 Statement of data completeness . 4
8 Assertion of data completeness . 4
9 Data completeness record . 5
10 Conformance requirements . 7
Annex A (normative) Document identification . 8
Annex B (informative) Information to support implementations . 9
Annex C (informative) Codes used in examples .10
Bibliography .11
Foreword
ISO (the International Organization for Standardization) is a worldwide federation of national standards
bodies (ISO member bodies). The work of preparing International Standards is normally carried out
through ISO technical committees. Each member body interested in a subject for which a technical
committee has been established has the right to be represented on that committee. International
organizations, governmental and non-governmental, in liaison with ISO, also take part in the work.
ISO collaborates closely with the International Electrotechnical Commission (IEC) on all matters of
electrotechnical standardization.
The procedures used to develop this document and those intended for its further maintenance are
described in the ISO/IEC Directives, Part 1. In particular the different approval criteria needed for the
different types of ISO documents should be noted. This document was drafted in accordance with the
editorial rules of the ISO/IEC Directives, Part 2 (see www.iso.org/directives).
Attention is drawn to the possibility that some of the elements of this document may be the subject of
patent rights. ISO shall not be held responsible for identifying any or all such patent rights. Details of
any patent rights identified during the development of the document will be in the Introduction and/or
on the ISO list of patent declarations received (see www.iso.org/patents).
Any trade name used in this document is information given for the convenience of users and does not
constitute an endorsement.
For an explanation on the meaning of ISO specific terms and expressions related to conformity assessment,
as well as information about ISO’s adherence to the World Trade Organization (WTO) principles in the
Technical Barriers to Trade (TBT) see the following URL: www.iso.org/iso/foreword.html.
The committee responsible for this document is Technical Committee ISO/TC 184, Automation systems
and integration, Subcommittee SC 4, Industrial data.
This first edition of ISO 8000-140 cancels and replaces ISO/TS 8000-140:2009, which has been
technically revised.
ISO 8000 is organized as a series of parts, each published separately. The structure of ISO 8000 is
described in ISO/TS 8000-1.
Each part of ISO 8000 is a member of one of the following series: general data quality, master data
quality, transactional data quality, and product data quality. This part of ISO 8000 is a member of the
master data quality series.
A list of all parts in the ISO 8000- series can be found on the ISO website.
iv PROOF/ÉPREUVE © ISO 2016 – All rights reserved

Introduction
The ability to create, collect, store, maintain, transfer, process and present data to support business
processes in a timely and cost effective manner requires both an understanding of the characteristics
of the data that determine its quality, and an ability to measure, manage and report on data quality.
ISO 8000 defines characteristics that can be tested by any organization in the data supply chain to
objectively determine conformance of the data to ISO 8000.
ISO 8000 provides frameworks for improving data quality for specific kinds of data. The frameworks
can be used independently or in conjunction with quality management systems.
ISO 8000 covers industrial data quality characteristics throughout the product life cycle from
conception to disposal. ISO 8000 addresses specific kinds of data including, but not limited to, master
data, transaction data, and product data.
This part of ISO 8000 is an optional addition to ISO 8000-120 and specifies requirements for
representation and exchange of information about completeness of master data that consists of
characteristic data. ISO 8000-120 is an optional addition to ISO 8000-110 and specifies requirements
for representation and exchange of information about provenance of master data that consists of
characteristic data. ISO 8000-110 specifies basic requirements for representation and exchange
of information about provenance of master data that consists of characteristic data, in particular,
conformance to a formal syntax, semantic encoding, and conformance to a data specification.
INTERNATIONAL STANDARD ISO 8000-140:2016(E)
Data quality —
Part 140:
Master data: Exchange of characteristic data: Completeness
1 Scope
This part of ISO 8000 is an optional addition to ISO 8000-120 and specifies requirements for
representation and exchange of information about completeness of master data that consists of
characteristic data.
NOTE 1 ISO 8000-110 specifies that such data be represented as property values. ISO 8000-120 provides
additional requirements for property values when data provenance information needs to be captured.
This part of ISO 8000 does not specify a complete model for characteristic data, nor does it specify an
exchange format for characteristic data with data completeness information.
NOTE 2 This is done in other standards that reference this part of ISO 8000, e.g. ISO/TS 22745-40.
The following are within the scope of this part of ISO 8000:
— requirements for capture and exchange of data completeness information in the form of statements
and assertions of data completeness;
— conceptual data model for data completeness information in the form of statements and assertions
of data completeness.
The following are outside the scope of this part of ISO 8000:
— requirements for data completeness;
NOTE 3 The requirements for data completeness depend on many factors, e.g. the kind of data, how the
data are being used, industry, and needs of the partners exchanging the data. It is not possible to state general
requirements for data completeness.
— exchange format for data completeness information;
— scheme for registering and resolving organization identifiers and person identifiers;
— completeness of data that are not characteristic data represented as property values;
— syntax of identifiers;
— resolution of identifiers.
Some of the requirements in this part of ISO 8000 can apply to exchange of data that is not master data
which consists of characteristic data represented as property values.
2 Normative references
The following referenced documents are indispensable for the application of this document. For dated
references, only the edition cited applies. For undated references, the latest edition of the referenced
document (including any amendments) applies.
ISO 8000-2, Data quality — Part 2: Vocabulary
ISO 8000-120, Data quality — Part 120: Master data: Exchange of characteristic data: Provenance
3 Terms and definitions
For the purposes of this document, the terms and definitions given in ISO 8000-2 apply.
4 Abbreviated terms
UML Unified Modeling Language
XML Extensible Markup Language
5 General
A data provider may declare the completeness of data through either a statement (see Clause 7) or an
assertion (see Clause 8).
6 Completeness data model
6.1 Referenced types and entities
The following types and entities are used by the completeness model:
— ISO_6523_identifier, defined in ISO 8000-120;
— date_and_time, defined in ISO 8000-120;
— property_value_assignment, defined in ISO 8000-120.
6.2 Diagram
The UML class diagram for the completeness model is given in Figure 1.
Figure 1 — UML class diagram for completeness
2 PROOF/ÉPREUVE © ISO 2016 – All rights reserved

NOTE The entity property_value_assignment is the intersection point between this data model and the
target data model: the model of data for which completeness information is to be recorded. When the data model
in Clause 6 is integrated with the target data model, this entity needs to be replaced with the appropriate entity
from the target data model.
6.3 completeness_event
A completeness_event is an event for which data completeness information is recorded.
Attribute definitions:
details: the details of the completeness_event.
NOTE 1  This could include the text of the statement or assertion of complete
...

INTERNATIONAL ISO
STANDARD 8000-140
First edition
2016-10-01
Data quality —
Part 140:
Master data: Exchange of
characteristic data: Completeness
Qualité des données —
Partie 140: Données permanentes: Échange de données
caractéristiques: Complétude
Reference number
©
ISO 2016
© ISO 2016, Published in Switzerland
All rights reserved. Unless otherwise specified, no part of this publication may be reproduced or utilized otherwise in any form
or by any means, electronic or mechanical, including photocopying, or posting on the internet or an intranet, without prior
written permission. Permission can be requested from either ISO at the address below or ISO’s member body in the country of
the requester.
ISO copyright office
Ch. de Blandonnet 8 • CP 401
CH-1214 Vernier, Geneva, Switzerland
Tel. [phone]
Fax [phone]
[e-mail]
www.iso.org
ii © ISO 2016 – All rights reserved

Contents Page
Foreword .iv
Introduction .v
1 Scope . 1
2 Normative references . 1
3 Terms and definitions . 2
4 Abbreviated terms . 2
5 General . 2
6 Completeness data model . 2
6.1 Referenced types and entities . 2
6.2 Diagram . 2
6.3 completeness_event . 3
6.4 completeness_method . 3
7 Statement of data completeness . 4
8 Assertion of data completeness . 4
9 Data completeness record . 5
10 Conformance requirements . 7
Annex A (normative) Document identification . 8
Annex B (informative) Information to support implementations . 9
Annex C (informative) Codes used in examples .10
Bibliography .11
Foreword
ISO (the International Organization for Standardization) is a worldwide federation of national standards
bodies (ISO member bodies). The work of preparing International Standards is normally carried out
through ISO technical committees. Each member body interested in a subject for which a technical
committee has been established has the right to be represented on that committee. International
organizations, governmental and non-governmental, in liaison with ISO, also take part in the work.
ISO collaborates closely with the International Electrotechnical Commission (IEC) on all matters of
electrotechnical standardization.
The procedures used to develop this document and those intended for its further maintenance are
described in the ISO/IEC Directives, Part 1. In particular the different approval criteria needed for the
different types of ISO documents should be noted. This document was drafted in accordance with the
editorial rules of the ISO/IEC Directives, Part 2 (see www.iso.org/directives).
Attention is drawn to the possibility that some of the elements of this document may be the subject of
patent rights. ISO shall not be held responsible for identifying any or all such patent rights. Details of
any patent rights identified during the development of the document will be in the Introduction and/or
on the ISO list of patent declarations received (see www.iso.org/patents).
Any trade name used in this document is information given for the convenience of users and does not
constitute an endorsement.
For an explanation on the meaning of ISO specific terms and expressions related to conformity assessment,
as well as information about ISO’s adherence to the World Trade Organization (WTO) principles in the
Technical Barriers to Trade (TBT) see the following URL: www.iso.org/iso/foreword.html.
The committee responsible for this document is Technical Committee ISO/TC 184, Automation systems
and integration, Subcommittee SC 4, Industrial data.
This first edition of ISO 8000-140 cancels and replaces ISO/TS 8000-140:2009, which has been
technically revised.
ISO 8000 is organized as a series of parts, each published separately. The structure of ISO 8000 is
described in ISO/TS 8000-1.
Each part of ISO 8000 is a member of one of the following series: general data quality, master data
quality, transactional data quality, and product data quality. This part of ISO 8000 is a member of the
master data quality series.
A list of all parts in the ISO 8000 series can be found on the ISO website.
iv © ISO 2016 – All rights reserved

Introduction
The ability to create, collect, store, maintain, transfer, process and present data to support business
processes in a timely and cost effective manner requires both an understanding of the characteristics
of the data that determine its quality, and an ability to measure, manage and report on data quality.
ISO 8000 defines characteristics that can be tested by any organization in the data supply chain to
objectively determine conformance of the data to ISO 8000.
ISO 8000 provides frameworks for improving data quality for specific kinds of data. The frameworks
can be used independently or in conjunction with quality management systems.
ISO 8000 covers industrial data quality characteristics throughout the product life cycle from
conception to disposal. ISO 8000 addresses specific kinds of data including, but not limited to, master
data, transaction data, and product data.
This part of ISO 8000 is an optional addition to ISO 8000-120 and specifies requirements for
representation and exchange of information about completeness of master data that consists of
characteristic data. ISO 8000-120 is an optional addition to ISO 8000-110 and specifies requirements
for representation and exchange of information about provenance of master data that consists of
characteristic data. ISO 8000-110 specifies basic requirements for representation and exchange
of information about provenance of master data that consists of characteristic data, in particular,
conformance to a formal syntax, semantic encoding, and conformance to a data specification.
INTERNATIONAL STANDARD ISO 8000-140:2016(E)
Data quality —
Part 140:
Master data: Exchange of characteristic data: Completeness
1 Scope
This part of ISO 8000 is an optional addition to ISO 8000-120 and specifies requirements for
representation and exchange of information about completeness of master data that consists of
characteristic data.
NOTE 1 ISO 8000-110 specifies that such data be represented as property values. ISO 8000-120 provides
additional requirements for property values when data provenance information needs to be captured.
This part of ISO 8000 does not specify a complete model for characteristic data, nor does it specify an
exchange format for characteristic data with data completeness information.
NOTE 2 This is done in other standards that reference this part of ISO 8000, e.g. ISO/TS 22745-40.
The following are within the scope of this part of ISO 8000:
— requirements for capture and exchange of data completeness information in the form of statements
and assertions of data completeness;
— conceptual data model for data completeness information in the form of statements and assertions
of data completeness.
The following are outside the scope of this part of ISO 8000:
— requirements for data completeness;
NOTE 3 The requirements for data completeness depend on many factors, e.g. the kind of data, how the
data are being used, industry, and needs of the partners exchanging the data. It is not possible to state general
requirements for data completeness.
— exchange format for data completeness information;
— scheme for registering and resolving organization identifiers and person identifiers;
— completeness of data that are not characteristic data represented as property values;
— syntax of identifiers;
— resolution of identifiers.
Some of the requirements in this part of ISO 8000 can apply to exchange of data that is not master data
which consists of characteristic data represented as property values.
2 Normative references
The following referenced documents are indispensable for the application of this document. For dated
references, only the edition cited applies. For undated references, the latest edition of the referenced
document (including any amendments) applies.
ISO 8000-2, Data quality — Part 2: Vocabulary
ISO 8000-120, Data quality — Part 120: Master data: Exchange of characteristic data: Provenance
3 Terms and definitions
For the purposes of this document, the terms and definitions given in ISO 8000-2 apply.
4 Abbreviated terms
UML Unified Modeling Language
XML Extensible Markup Language
5 General
A data provider may declare the completeness of data through either a statement (see Clause 7) or an
assertion (see Clause 8).
6 Completeness data model
6.1 Referenced types and entities
The following types and entities are used by the completeness model:
— ISO_6523_identifier, defined in ISO 8000-120;
— date_and_time, defined in ISO 8000-120;
— property_value_assignment, defined in ISO 8000-120.
6.2 Diagram
The UML class diagram for the completeness model is given in Figure 1.
Figure 1 — UML class diagram for completeness
2 © ISO 2016 – All rights reserved

NOTE The entity property_value_assignment is the intersection point between this data model and the
target data model: the model of data for which completeness information is to be recorded. When the data model
in Clause 6 is integrated with the target data model, this entity needs to be replaced with the appropriate entity
from the target data model.
6.3 completeness_event
A completeness_event is an event for which data completeness information is recorded.
Attribute definitions:
details: the details of the completeness_event.
NOTE 1  This could include the text of the st
...