ISO 8000-120:2016

INTERNATIONAL ISO
STANDARD 8000-120
First edition
2016-10-01
Data quality —
Part 120:
Master data: Exchange of
characteristic data: Provenance
Qualité des données —
Partie 120: Données permanentes: Échange des données
caractéristiques: Provenance
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. +41 22 749 01 11
Fax +41 22 749 09 47
copyright@iso.org
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 and notation . 2
4.1 Abbreviated terms . 2
4.2 Notation . 2
5 Fundamental concepts and assumptions . 2
6 Provenance data model . 3
6.1 Diagram . 3
6.2 date_and_time . 3
6.3 ISO_6523_identifier . 3
6.4 property_value_assignment . 3
6.5 provenance_event . 4
7 Data provenance record . 4
8 Conformance requirements . 6
Annex A (normative) Document identification . 7
Annex B (informative) Information to support implementations . 8
Annex C (informative) Scenarios . 9
Annex D (informative) Use cases .15
Bibliography .23
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 8000-120 cancels and replaces ISO/TS 8000-120:2009, 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.
ISO 8000-110 specifies requirements that can be checked by computer for the exchange, between
organizations and systems, of master data that consists of characteristic data. It provides requirements
for data quality, independent of syntax. This part of ISO 8000 specifies requirements for capture and
exchange of data provenance information and supplements the requirements of ISO 8000-110. This part
of ISO 8000 includes a conceptual data model for data provenance.
Data provenance information can be used to detect data echoes, and can be used to determine the
credibility, currency or value of data. Data provenance information provides a necessary capability to
support claims of data accuracy.
NOTE Requirements regarding claims of data accuracy are covered in ISO 8000-130.
Any claim of conformance to this part of ISO 8000 implies a claim of conformance to ISO 8000-110.
This part of ISO 8000 can be used with any other standard that specifies a formal syntax for a data set.
INTERNATIONAL STANDARD ISO 8000-120:2016(E)
Data quality —
Part 120:
Master data: Exchange of characteristic data: Provenance
1 Scope
This part of ISO 8000 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.
NOTE 1 ISO 8000-110 specifies that such data be represented as property values. This part of ISO 8000
provides additional requirements for property values when provenance information needs to be captured.
Provenance is the history or pedigree of a property value.
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 provenance information.
NOTE 2 This is done in other standards that reference this part of ISO 8000, e.g. ISO 22745-40.
The following are within the scope of this part of ISO 8000:
— scenarios for data provenance;
— requirements for capture and exchange of data provenance information;
— conceptual data model for data provenance information.
The following are outside the scope of this part of ISO 8000:
— 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 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.
NOTE 3 ISO 8000-100 provides an overview of the master data quality series of parts of ISO 8000 and a
description of its overall structure.
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 8000-110, Data quality — Part 110: Master data: Exchange of characteristic data: Syntax, semantic
encoding, and conformance to data specification
3 Terms and definitions
For the purposes of this document, the terms and definitions given in ISO 8000-2 apply.
4 Abbreviated terms and notation
4.1 Abbreviated terms
id Identifier
UML Unified Modeling Language
XML Extensible Markup Language
4.2 Notation
p Property
v Value
e event1)
pv(p, v) property value asserting that property p has value v
pv(p, v, (e1, e2,.)) property value asserting that property p has value v, with provenance
information given by events e1, e2, etc.
query(I, p) query for current value of property p of item I
create(orgID, personID, t) event that is the creation of a property value by the organization and
person at time t
extract(orgID, personID, t) event that is the extraction of a property value by the organization and
person at time t
MDM(I, (pv1, pv2,.)) master data message containing property values pv1, pv2, etc.
null no value given
5 Fundamental concepts and assumptions
The Oxford English Dictionary defines provenance as:
— the fact of coming from some particular source or quarter; origin, or derivation;
— the history or pedigree of a work of art, manuscript, rare book, etc.; concretely a record of the
ultimate derivation and passage of an item through its various owners.
In this part of ISO 8000, the term “data provenance” corresponds to the first part of the second definition
above: “history or pedigree of a property value”; the term “provenance record” corresponds to the
second half of second definition above: “record of the ultimate derivation and passage of a property
value through its various custodians”.
2 © ISO 2016 – All rights reserved

6 Provenance data model
6.1 Diagram
The UML class diagram for the provenance model is given in Figure 1.
Figure 1 — UML class diagram for provenance
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 provenance 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 appropriat
...