Data quality — Part 150: Master data: Quality management framework

ISO/TS 8000-150:2011 specifies fundamental principles of master data quality management, and requirements for implementation, data exchange and provenance. ISO/TS 8000-150:2011 also contains an informative framework that identifies processes for data quality management. This framework can be used in conjunction with, or independently of, quality management systems standards, for example, ISO 9001.

Qualité des données — Partie 150: Données permanentes: Cadre de management de la qualité

General Information

Status
Withdrawn
Publication Date
06-Dec-2011
Current Stage
9599 - Withdrawal of International Standard
Start Date
13-May-2022
Completion Date
13-May-2022
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ISO/TS 8000-150:2011 - Data quality
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TECHNICAL ISO/TS
SPECIFICATION 8000-150
First edition
2011-12-15
Data quality —
Part 150:
Master data: Quality management
framework
Qualité des données —
Partie 150: Données permanentes: Cadre de management de la qualité

Reference number
©
ISO 2011
©  ISO 2011
All rights reserved. Unless otherwise specified, no part of this publication may be reproduced or utilized in any form or by any means,
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Published in Switzerland
ii © ISO 2011 – All rights reserved

Contents Page
Foreword .v
Introduction .vi
1 Scope.1
2 Normative references.1
3 Terms, definitions and abbreviated terms.2
3.1 Terms and definitions.2
3.2 Abbreviated terms .2
4 Fundamental principles of master data quality management.2
5 Requirements .3
5.1 Implementation requirements.3
5.2 Data exchange requirements .3
5.3 Provenance requirements .3
6 Conformance.4
Annex A (normative) Document identification.5
Annex B (informative) Master data quality management framework.6
B.1 Overview of the master data quality management framework.6
B.2 The top-level processes of the framework.7
B.2.1 The three top-level processes.7
B.2.2 Data operations .7
B.2.3 Data quality monitoring .8
B.2.4 Data quality improvement.8
B.3 The roles in the framework .8
B.3.1 The three roles.8
B.3.2 Data manager .8
B.3.3 Data administrator.9
B.3.4 Data technician.9
B.4 The lower level processes in the framework .10
B.4.1 The nine lower level processes .10
B.4.2 Data architecture management.10
B.4.2.1 Overview of data architecture management .10
B.4.2.2 Constituent activities of data architecture management .11
B.4.2.3 Required responsibilities of data manger for data architecture management.11
B.4.2.4 Relationship of data architecture management to other processes .11
B.4.3 Data design.11
B.4.3.1 Overview of data design.11
B.4.3.2 Constituent activities of data design.12
B.4.3.3 Required responsibilities of the data administrator for data design .12
B.4.3.4 Relationship of data design to other processes.12
B.4.4 Data processing.12
B.4.4.1 Overview of data processing .12
B.4.4.2 Constituent activities of data processing .12
B.4.4.3 Required responsibilities of data technician for data processing.13
B.4.4.4 Relationships of data processing to other processes.13
B.4.5 Data quality planning.13
B.4.5.1 Overview of data quality planning .13
B.4.5.2 Constituent activities of data quality planning .13
B.4.5.3 Required responsibilities of data manager for data quality planning .13
B.4.5.4 Relationship of data quality plan to other processes .14
B.4.6 Data quality criteria setup .14
B.4.6.1 Overview of data quality criteria setup .14

B.4.6.2 Constituent activities of data quality criteria setup .14

B.4.6.3 Required responsibilities of data administrator for data quality criteria setup.14

B.4.6.4 Relationship of data quality criteria setup to other processes.14

B.4.7 Data quality measurement.15

B.4.7.1 Overview of data quality measurement.15

B.4.7.2 Constituent activities of data quality measurement.15

B.4.7.3 Required responsibilities of data technician for data quality measurement .15
B.4.7.4 Relationship of data quality measurement to other processes.15

B.4.8 Data stewardship and flow management .15

B.4.8.1 Overview of data stewardship and flow management.15

B.4.8.2 Constituent activities of data stewardship and flow management.16

B.4.8.3 Required responsibilities of data manager for data stewardship and flow
management.16

B.4.8.4 Relationship of data stewardship and flow management to other processes.16

B.4.9 Data error cause analysis .16

B.4.9.1 Overview of data error cause analysis.16

B.4.9.2 Constituent activities of data error cause analysis.17

B.4.9.3 Required responsibilities of data administrator for data error cause analysis .17

B.4.9.4 Relationship of data error cause analysis to other processes.17

B.4.10 Data error correction.17

B.4.10.1 Overview of data error correction .17

B.4.10.2 Constituent activities of data error correction .18

B.4.10.3 Required responsibilities of data technician for data error correction.18

B.4.10.4 Relationship of data error correction to other processes .18

Annex C (informative) The functional model of the framework .19

Annex D (informative) Business scenario with examples for the framework .22

D.1 Business environment and situation .22

D.2 Data architecture management .22

D.3 Data design.22

D.4 Data processing .22

D.5 Data quality plan .22

D.6 Data quality criteria setup.23

D.7 Data quality measurement .23

D.8 Data stewardship and flow .23

D.9 Data error cause analysis.23

D.10 Data error correction .24

Bibliography.25

Index.26

iv © ISO 2011 – 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.
International Standards are drafted in accordance with the rules given in the ISO/IEC Directives,
Part 2.
The main task of technical committees is to prepare International Standards. Draft International
Standards adopted by the technical committees are circulated to the member bodies for voting.
Publication as an International Standard requires approval by at least 75% of the member bodies
casting a vote.
In other circumstances, particularly when there is an urgent market requirement for such documents, a
technical committee may decide to publish other types of normative document:
— an ISO Publicly Available Specification (ISO/PAS) represents an agreement between technical
experts in an ISO working group and is accepted for publication if it is approved by more than
50% of the members of the parent committee casting a vote;
— an ISO Technical Specification (ISO/TS) represents an agreement between the members of a
technical committee and is accepted for publication if it is approved by 2/3 of the members of
the committee casting a vote.
An ISO/PAS or ISO/TS is reviewed every three years with a view to deciding whether it can be
transformed into an International Standard.
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.
ISO/TS 8000-150 was prepared by 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 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 complete list of parts of ISO 8000 is available from the Internet:
http://www.tc184-sc4.org/titles/DATA_QUALITY_Titles.htm

Introduction
The ability to create, collect, store, maintain, transfer, process and present data to support business
processes in a timely and cost effective manner r
...

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