Data quality — Part 2: Vocabulary

ISO 8000-2:2017 defines terms relating to data quality used in the ISO 8000 series of parts.

Qualité des données — Partie 2: Vocabulaire

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INTERNATIONAL ISO
STANDARD 8000-2
Second edition
2017-08
Data quality —
Part 2:
Vocabulary
Qualité des données —
Partie 2: Vocabulaire
Reference number
ISO 8000-2:2017(E)
©
ISO 2017

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ISO 8000-2:2017(E)

COPYRIGHT PROTECTED DOCUMENT
© ISO 2017, 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.
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ii © ISO 2017 – All rights reserved

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ISO 8000-2:2017(E)

Contents Page
Foreword .iv
Introduction .v
1 Scope . 1
2 Normative references . 1
3 Terms and definitions . 1
3.1 Terms relating to applications . 1
3.2 Terms relating to data and information . 2
3.3 Terms relating to quality . 3
3.4 Terms relating to data quality . 3
3.5 Terms relating to syntax and semantics . 5
3.6 Terms related to characteristic data . 5
3.7 Terms relating to data dictionaries . 6
3.8 Terms relating to transaction data . 6
3.9 Terms relating to measurement data . 6
3.10 Terms relating to master data . 7
3.11 Terms relating to product data . 7
3.12 Terms relating to items of production and items of supply . 8
3.13 Terms relating to roles . 9
3.14 Terms relating to process assessment .10
Annex A (normative) Document identification .13
Bibliography .14
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ISO 8000-2:2017(E)

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 voluntary nature of standards, 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: w w w . i s o .org/ iso/ foreword .html.
This document was prepared by Technical Committee ISO/TC 184, Automation systems and integration,
Subcommittee SC 4, Industrial data.
This second edition cancels and replaces the first edition (ISO 8000-2:2012), which has been technically
revised, with the addition and modification of some terms and definitions.
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 and product data quality. This document is a member of the general data quality series but
applicable to all of the three data quality series.
A list of all parts in the ISO 8000 series can be found on the ISO website.
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ISO 8000-2:2017(E)

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 document establishes the vocabulary for the ISO 8000 series of parts.
Annex A contains an identifier that unambiguously identifies this document in an open information
system.
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INTERNATIONAL STANDARD ISO 8000-2:2017(E)
Data quality —
Part 2:
Vocabulary
1 Scope
This document defines terms relating to data quality used in the ISO 8000 series of parts.
2 Normative references
There are no normative references in this document.
3 Terms and definitions
ISO and IEC maintain terminological databases for use in standardization at the following addresses:
— ISO Online browsing platform: available at http:// www .iso .org/ obp
— IEC Electropedia: available at http:// www .electropedia .org/
3.1 Terms relating to applications
3.1.1
application
group of one or more processes (3.3.3) creating or using product data (3.11.5)
[SOURCE: ISO 10303-1:1994, 3.2.2]
3.1.2
application protocol
AP
part of ISO 10303 that specifies an application interpreted model satisfying the scope and information
(3.2.7) requirements (3.3.4) for a specific application (3.1.1)
Note 1 to entry: This definition differs from the definition used in open system interconnection (OSI)
standards. However, since this document is not intended to be used directly with OSI communications, no
confusion should arise.
[SOURCE: ISO 10303-1:1994, 3.2.7, modified — The words “this International Standard” have been
replaced by “this document” in the Note to entry.]
3.1.3
application reference model
ARM
information (3.2.7) model that describes the information requirements (3.3.4) and constraints of a
specific application (3.1.1) context
[SOURCE: ISO 10303-1:1994, 3.2.8]
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ISO 8000-2:2017(E)

3.2 Terms relating to data and information
3.2.1
data
reinterpretable representation of information (3.2.7) in a formalized manner suitable for communication,
interpretation, or processing
[SOURCE: ISO/IEC 2382:2015, 2121272, modified — Notes to entry have been removed.]
3.2.2
data exchange
storing, accessing, transferring and archiving of data (3.2.1)
[SOURCE: ISO 10303-1:1994, 3.2.15]
3.2.3
data message
message used to exchange data (3.2.1) between organizations
EXAMPLE 1 Web Services call: data to be exchanged consisting of Extensible Markup Language (XML)
elements in a Simple Object Access Protocol (SOAP) envelope.
EXAMPLE 2 E-mail message: data to be exchanged consisting of an XML file attached to the e-mail.
EXAMPLE 3 Java remote method invocation call: data to be exchanged consisting of Java objects serialized
according to the Java Remote Method Invocation (RMI) specification.
EXAMPLE 4 Open Database Connectivity (ODBC) call: data to be exchanged consisting of an update statement
encoded according to the ODBC specification.
EXAMPLE 5 File or data to be exchanged contained on a compact diskette delivered to an organization by a
person: data to be exchanged consisting of a spreadsheet.
3.2.4
data set
logically meaningful grouping of data (3.2.1)
EXAMPLE 1 Computer-aided design (CAD) files.
EXAMPLE 2 Electronic data interchange (EDI) transactions.
3.2.5
data specification
rules for describing items belonging to a particular class using entries from a data dictionary (3.7.1)
[SOURCE: ISO 22745-2:2010, B.2.18, modified — Examples have been removed.]
3.2.6
entity
concrete or abstract thing in the domain under consideration
[SOURCE: ISO 19439:2006, 3.29, modified — The word “any” has been removed at the start of the
definition.]
3.2.7
information
knowledge concerning objects, such as facts, events, things, processes (3.3.3), or ideas, including
concepts, that within a certain context has a particular meaning
[SOURCE: ISO/IEC 2382:2015, 2121271, modified — Field of application and notes to entry have been
removed.]
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ISO 8000-2:2017(E)

3.2.8
metadata
data (3.2.1) defining and describing other data
[SOURCE: ISO/IEC 11179-1:2015, 3.2.16, modified — The words “that defines and describes” have been
replaced by “defining and describing”.]
3.2.9
organization identifier
reference that can be resolved unambiguously to the legal name, location and the administrator of the
organization
3.3 Terms relating to quality
3.3.1
quality
degree to which a set of inherent characteristics of an object fulfils requirements (3.3.4)
Note 1 to entry: The term “quality” can be used with adjectives such as poor, good or excellent.
Note 2 to entry: “Inherent”, as opposed to “assigned”, means existing in the object.
[SOURCE: ISO 9000:2015, 3.6.2]
3.3.2
quality management system
part of a management system with regard to quality (3.3.1)
[SOURCE: ISO 9000:2015, 3.5.4]
3.3.3
process
set of interrelated or interacting activities that use inputs to deliver an intended result
[SOURCE: ISO 9000:2015, 3.4.1, modified – Notes to entry have been removed.]
3.3.4
requirement
need or expectation that is stated, generally implied or obligatory
[SOURCE: ISO 9000:2015, 3.6.4, modified – Notes to entry have been removed.]
3.4 Terms relating to data quality
3.4.1
accepted reference value
value that serves as an agreed-upon reference for comparison
Note 1 to entry: The accepted reference value is derived as:
a)  a theoretical or established value, based on scientific principles;
b)  an assigned or certified value, based on experimental work of some national or international organization;
c)  a consensus or certified value, based on collaborative experimental work under the auspices of a scientific or
technical group;
d)  the expectation, i.e. the mean of a specified set of measurements (3.9.2), when a), b) and c) are not available.
[SOURCE: ISO 3534-2:2006, 3.2.7]
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ISO 8000-2:2017(E)

3.4.2
authoritative data source
owner of a process (3.3.3) that creates data (3.2.1)
EXAMPLE The Department of Transportation of the Commonwealth of Pennsylvania, USA, is the
authoritative data source for Pennsylvania motor vehicle registration records.
3.4.3
data accuracy
closeness of agreement between a property value (3.6.2) and the true value (3.4.11)
Note 1 to entry: In practice, the accepted reference value (3.4.1) is substituted for the true value.
3.4.4
data accuracy record
record of the information (3.2.7) provided about the accuracy (3.11.1) of a piece of data (3.2.1)
Note 1 to entry: A data accuracy record can include representations and warranties of the data’s accuracy.
3.4.5
data completeness
quality (3.3.1) of having all data (3.2.1) that existed in the possession of the sender at time the data
message (3.2.3) was created
3.4.6
data completeness record
record of the information (3.2.7) provided about the completeness of a piece of data (3.2.1)
Note 1 to entry: A data completeness record can include representations and warranties of the data’s
completeness.
3.4.7
data error
non-fulfilment of a data (3.2.1) requirement (3.3.4)
Note 1 to entry: In this term, “error” is synonymous with nonconformity (3.14.8).
3.4.8
data quality
degree to which a set of inherent characteristics of data (3.2.1) fulfils requirements (3.3.4)
Note 1 to entry: See also quality (3.3.1).
3.4.9
data quality management
coordinated activities to direct and control an organization with regard to data quality (3.4.8)
3.4.10
data provenance record
record of the ultimate derivation and passage of a piece of data (3.2.1) through its various owners or
custodians
Note 1 to entry: A data provenance record can include information (3.2.7) about creation, update, transcription,
abstraction, validation (3.4.12), and transferring ownership of data.
3.4.11
true value
value that characterizes a characteristic perfectly defined in the conditions that exist when the
characteristic is considered
Note 1 to entry: The true value is a theoretical concept and, in general, cannot be known exactly.
[SOURCE: ISO 3534-2:2006, 3.2.5, modified.]
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ISO 8000-2:2017(E)

3.4.12
validation
confirmation, through the provision of objective evidence (3.14.9), that the requirements (3.3.4) for a
specific intended use or application (3.1.1) have been fulfilled
[SOURCE: ISO 9000:2015, 3.8.13, modified – Notes to entry have been removed.]
3.4.13
verification
confirmation, through the provision of objective evidence (3.14.9), that specified requirements (3.3.4)
have been fulfilled
[SOURCE: ISO 9000:2015, 3.8.12, modified – Notes to entry have been removed.]
3.5 Terms relating to syntax and semantics
3.5.1
formal syntax
specification of the valid sentences of a formal language using a formal grammar
EXAMPLE 1 An XML document type definition (DTD) is a formal syntax.
EXAMPLE 2 ISO 10303-21 contains a formal syntax in Wirth Syntax Notation (WSN) for ISO 10303 physical files.
Note 1 to entry: A formal language is computer-interpretable.
Note 2 to entry: Formal grammars are usually Chomsky context-free grammars.
Note 3 to entry: Variants of Backus-Naur Form (BNF) such as Augmented Backus-Naur Form (ABNF) and Wirth
Syntax Notation (WSN) are often used to specify the syntax of computer programming languages and data
(3.2.1) languages.
3.5.2
semantic encoding
technique of replacing natural language terms in a message with identifiers that reference data
dictionary entries (3.7.2)
3.5.3
semantically coded data specification
data requirements statement
data specification (3.2.5) that uses entries from a data dictionary (3.7.1)
EXAMPLE 1 An ISO/TS 22745-30 compliant identification guide.
EXAMPLE 2 ISO 13584-501.
Note 1 to entry: A semantically coded data specification can be used to specify rules for describing items
belonging to a particular class using semantic encoding (3.5.2).
3.6 Terms related to characteristic data
3.6.1
characteristic data
descript
...

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