Information technology - Artificial intelligence - Data life cycle framework (ISO/IEC 8183:2023)

Informationstechnologie - Künstliche Intelligenz - Rahmenwerk für den Datenlebenszyklus (ISO/IEC 8183:2023)

Technologies de l'information - Intelligence artificielle - Cadre du cycle de vie des données (ISO/IEC 8183:2023)

This document provides an overarching data life cycle framework that is instantiable for any AI system from data ideation to decommission. This document is applicable to the data processing throughout the AI system life cycle including the acquisition, creation, development, deployment, maintenance and decommissioning. This document does not define specific services, platforms or tools. This document is applicable to all organizations, regardless of type, sizes and nature, that use data in the development and use of AI systems.
It underpins the 5259 series which is already been adopted by CEN-CENELEC, and 25024 (JTC1 SC7).

Informacijska tehnologija - Umetna inteligenca - Okvir za življenjski cikel podatkov (ISO/IEC 8183:2023)

General Information

Status
Published
Public Enquiry End Date
29-Apr-2024
Publication Date
12-Nov-2024
Technical Committee
Current Stage
6060 - National Implementation/Publication (Adopted Project)
Start Date
21-Aug-2024
Due Date
26-Oct-2024
Completion Date
13-Nov-2024

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SLOVENSKI STANDARD
01-december-2024
Informacijska tehnologija - Umetna inteligenca - Okvir za življenjski cikel podatkov
(ISO/IEC 8183:2023)
Information technology - Artificial intelligence - Data life cycle framework (ISO/IEC
8183:2023)
Informationstechnologie - Künstliche Intelligenz - Rahmenwerk für den
Datenlebenszyklus (ISO/IEC 8183:2023)
Technologies de l'information - Intelligence artificielle - Cadre du cycle de vie des
données (ISO/IEC 8183:2023)
Ta slovenski standard je istoveten z: EN ISO/IEC 8183:2024
ICS:
35.020 Informacijska tehnika in Information technology (IT) in
tehnologija na splošno general
2003-01.Slovenski inštitut za standardizacijo. Razmnoževanje celote ali delov tega standarda ni dovoljeno.

EUROPEAN STANDARD EN ISO/IEC 8183

NORME EUROPÉENNE
EUROPÄISCHE NORM
June 2024
ICS 35.020
English version
Information technology - Artificial intelligence - Data life
cycle framework (ISO/IEC 8183:2023)
Technologies de l'information - Intelligence artificielle Informationstechnologie - Künstliche Intelligenz -
- Cadre du cycle de vie des données (ISO/IEC Rahmenwerk für den Datenlebenszyklus (ISO/IEC
8183:2023) 8183:2023)
This European Standard was approved by CEN on 10 June 2024.

CEN and CENELEC members are bound to comply with the CEN/CENELEC Internal Regulations which stipulate the conditions for
giving this European Standard the status of a national standard without any alteration. Up-to-date lists and bibliographical
references concerning such national standards may be obtained on application to the CEN-CENELEC Management Centre or to
any CEN and CENELEC member.
This European Standard exists in three official versions (English, French, German). A version in any other language made by
translation under the responsibility of a CEN and CENELEC member into its own language and notified to the CEN-CENELEC
Management Centre has the same status as the official versions.

CEN and CENELEC members are the national standards bodies and national electrotechnical committees of Austria, Belgium,
Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy,
Latvia, Lithuania, Luxembourg, Malta, Netherlands, Norway, Poland, Portugal, Republic of North Macedonia, Romania, Serbia,
Slovakia, Slovenia, Spain, Sweden, Switzerland, Türkiye and United Kingdom.

CEN-CENELEC Management Centre:
Rue de la Science 23, B-1040 Brussels
© 2024 CEN/CENELEC All rights of exploitation in any form and by any means
Ref. No. EN ISO/IEC 8183:2024 E
reserved worldwide for CEN national Members and for
CENELEC Members.
Contents Page
European foreword . 3

European foreword
The text of ISO/IEC 8183:2023 has been prepared by Technical Committee ISO/IEC JTC 1 "Information
technology” of the International Organization for Standardization (ISO) and has been taken over as
secretariat of which is held by DS.
This European Standard shall be given the status of a national standard, either by publication of an
identical text or by endorsement, at the latest by December 2024, and conflicting national standards
shall be withdrawn at the latest by December 2024.
Attention is drawn to the possibility that some of the elements of this document may be the subject of
patent rights. CEN-CENELEC shall not be held responsible for identifying any or all such patent rights.
Any feedback and questions on this document should be directed to the users’ national standards body.
A complete listing of these bodies can be found on the CEN and CENELEC websites.
According to the CEN-CENELEC Internal Regulations, the national standards organizations of the
following countries are bound to implement this European Standard: Austria, Belgium, Bulgaria,
Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland,
Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Norway, Poland, Portugal, Republic of
North Macedonia, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, Türkiye and the
United Kingdom.
Endorsement notice
The text of ISO/IEC 8183:2023 has been approved by CEN-CENELEC as EN ISO/IEC 8183:2024 without
any modification.
INTERNATIONAL ISO/IEC
STANDARD 8183
First edition
2023-07
Information technology — Artificial
intelligence — Data life cycle
framework
Reference number
ISO/IEC 8183:2023(E)
© ISO/IEC 2023
ISO/IEC 8183:2023(E)
© ISO/IEC 2023
All rights reserved. Unless otherwise specified, or required in the context of its implementation, 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
CP 401 • Ch. de Blandonnet 8
CH-1214 Vernier, Geneva
Phone: +41 22 749 01 11
Email: copyright@iso.org
Website: www.iso.org
Published in Switzerland
ii
© ISO/IEC 2023 – All rights reserved

ISO/IEC 8183:2023(E)
Contents Page
Foreword .iv
Introduction .v
1 Scope . 1
2 Normative references . 1
3 Terms and definitions . 1
4 Symbols and abbreviated terms.1
5 Data life cycle overview . 1
6 Data life cycle framework .2
6.1 General . 2
6.2 Stage 1: Idea conception . 3
6.3 Stage 2: Business requirements . 4
6.4 Stage 3: Data planning . 4
6.5 Stage 4: Data acquisition. 5
6.6 Stage 5: Data preparation . 5
6.7 Stage 6: Building a model . 6
6.8 Stage 7: System deployment . 6
6.9 Stage 8: System operation . 7
6.10 Stage 9: Data decommissioning . 7
6.11 Stage 10: System decommissioning . 7
7 Stages and processes within the data life cycle . 7
Bibliography .10
iii
© ISO/IEC 2023 – All rights reserved

ISO/IEC 8183:2023(E)
Foreword
ISO (the International Organization for Standardization) and IEC (the International Electrotechnical
Commission) form the specialized system for worldwide standardization. National bodies that are
members of ISO or IEC participate in the development of International Standards through technical
committees established by the respective organization to deal with particular fields of technical
activity. ISO and IEC technical committees collaborate in fields of mutual interest. Other international
organizations, governmental and non-governmental, in liaison with ISO and IEC, also take part in the
work.
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 document 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 or
www.iec.ch/members_experts/refdocs).
ISO and IEC draw attention to the possibility that the implementation of this document may involve the
use of (a) patent(s). ISO and IEC take no position concerning the evidence, validity or applicability of
any claimed patent rights in respect thereof. As of the date of publication of this document, ISO and IEC
had not received notice of (a) patent(s) which may be required to implement this document. However,
implementers are cautioned that this may not represent the latest information, which may be obtained
from the patent database available at www.iso.org/patents and https://patents.iec.ch. ISO and IEC shall
not be held responsible for identifying any or all such patent rights.
Any trade name used in this document is information given for the convenience of users and does not
constitute an endorsement.
For an explanation of 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
www.iso.org/iso/foreword.html. In the IEC, see www.iec.ch/understanding-standards.
This document was prepared by Joint Technical Committee ISO/IEC JTC 1, Information technology,
Subcommittee SC 42, Artificial intelligence.
Any feedback or questions on this document should be directed to the user’s national standards
body. A complete listing of these bodies can be found at www.iso.org/members.html and
www.iec.ch/national-committees.
iv
© ISO/IEC 2023 – All rights reserved

ISO/IEC 8183:2023(E)
Introduction
Artificial intelligence (AI) systems are being adopted by organizations of all types, sizes and purposes.
Data are essential to the development and operation of AI systems.
In the field of AI systems, there are many data life cycles in use and under consideration for different
purposes (e.g. data quality, bias in data, data governance, development and use of AI systems). Without
an overarching framework, these different data life cycles can be challenging to correctly interpret by
those without previous knowledge, context and expertise. There is a risk that these multiple data life
cycles will not be applied as intended.
This document provides a data life cycle overview in Clause 5, describes a data life cycle framework in
Clause 6 and provides more information on the stages or processes of the data life cycle in Clause 7.
v
© ISO/IEC 2023 – All rights reserved

INTERNATIONAL STANDARD ISO/IEC 8183:2023(E)
Information technology — Artificial intelligence — Data
life cycle framework
1 Scope
This document defines the stages and identifies associated actions for data processing throughout the
artificial intelligence (AI) system life cycle, including acquisition, creation, development, deployment,
maintenance and decommissioning. This document does not define specific services, platforms or tools.
This document is applicable to all organizations, regardless of type, size or nature, that use dat
...

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