ISO 8000-61:2016

INTERNATIONAL ISO
STANDARD 8000-61
First edition
2016-11-15
Data quality —
Part 61:
Data quality management: Process
reference model
Qualité des données —
Partie 61: Gestion de la qualité des données: Modèle de référence des
procédés
Reference number
©
ISO 2016
© ISO 2016, Published in Switzerland
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ii © ISO 2016 – All rights reserved

Contents Page
Foreword .v
Introduction .vi
1 Scope . 1
2 Normative references . 1
3 Terms, definitions and abbreviated terms . 1
3.1 Terms and definitions . 1
3.2 Abbreviated terms . 2
4 Fundamental principles of data quality management . 2
5 The data quality management process . 2
5.1 The basic structure of the data quality management process . 2
5.2 The detailed structure of the data quality management process. 3
5.3 The elements of a process description . 5
6 The Implementation process. 5
6.1 Overview of Implementation . 5
6.2 Data Quality Planning . 6
6.2.1 Overview of Data Quality Planning . 6
6.2.2 Requirements Management . 6
6.2.3 Data Quality Strategy Management . 7
6.2.4 Data Quality Policy/Standards/Procedures Management . 7
6.2.5 Data Quality Implementation Planning . 8
6.3 Data Quality Control . 9
6.3.1 Overview of Data Quality Control . 9
6.3.2 Provision of Data Specifications and Work Instructions . 9
6.3.3 Data Processing . . 9
6.3.4 Data Quality Monitoring and Control .10
6.4 Data Quality Assurance .11
6.4.1 Overview of Data Quality Assurance .11
6.4.2 Review of Data Quality Issues .11
6.4.3 Provision of Measurement Criteria .12
6.4.4 Measurement of Data Quality and Process Performance .12
6.4.5 Evaluation of Measurement Results .12
6.5 Data Quality Improvement .13
6.5.1 Overview of Data Quality Improvement .13
6.5.2 Root Cause Analysis and Solution Development .13
6.5.3 Data Cleansing .14
6.5.4 Process Improvement for Data Nonconformity Prevention .14
7 The Data-Related Support process .15
7.1 Overview of Data-Related Support .15
7.2 Data Architecture Management .15
7.3 Data Transfer Management .15
7.4 Data Operations Management .16
7.5 Data Security Management .17
8 The Resource Provision process .17
8.1 Overview of Resource Provision .17
8.2 Data Quality Organization Management .17
8.3 Human Resource Management .18
9 Relationship between data quality management and data governance .19
10 Implementation requirements .19
Annex A (normative) Document identification .20
Bibliography .21
iv © ISO 2016 – All rights reserved

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.
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
general data quality series but is also applicable to the other series.
A list of all parts in the ISO 8000 series can be found on the ISO website.
Introduction
The ability to create, collect, store, maintain, transfer, process and present information and data to
support business processes in a timely and cost effective manner requires both an understanding of
the characteristics of the information and data that determine its quality, and an ability to measure,
manage and report on information and data quality.
ISO 8000 defines characteristics of information and data that determine its quality, and provides
methods to manage, measure and improve the quality of information and data.
When assessing the quality of information and data, it is useful to perform the assessment in accordance
with documented methods. It is also important to document the tailoring of standardized methods with
respect to the expectation and requirements pertinent to the business case at hand.
ISO 8000 includes parts applicable to all types of data and parts applicable to specific types of data.
ISO 8000 can be used independently or in conjunction with quality management systems.
There is a limit to data quality improvement when only the nonconformity of data is corrected, since
the nonconformity can recur. However, when the root causes of the data nonconformity and the related
data are traced and corrected through data quality processes, recurrence of the same type of data
nonconformity can be prevented. Therefore, a framework for process-centric data quality management
is required to improve data quality more effectively and efficiently. Furthermore, data quality can be
improved through assessing processes and improving under-performing processes identified by the
assessment.
This part of ISO 8000 specifies the processes required for data quality management. This specification
is used as a reference for assessing and improving the capability of the processes or increasing
organizational maturity with respect to data quality management.
This part of ISO 8000 can be used on its own or in conjunction with other parts of ISO 8000.
This part of ISO 8000 is intended for use by those actors that have a vested interest in information or
data quality, with a focus on one or more information systems both inter- and intra-organization views,
throughout all phases of the data life cycle.
Annex A contains an identifier that unambiguously identifies this part of ISO 8000 in an open
information system.
vi © ISO 2016 – All rights reserved

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