SIST EN ISO/IEC 8183:2024

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

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 data in the
development and use of AI systems.

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)

Ta dokument določa faze in povezana dejanja obdelave podatkov v celotnem
življenjskem ciklu sistema umetne inteligence (UI), vključno s pridobivanjem, ustvarjanjem, razvojem, uvajanjem,
vzdrževanjem in izločitvijo iz uporabe. Ta dokument ne opredeljuje posebnih storitev, platform ali orodij.
Ta dokument se uporablja za vse organizacije, ne glede na vrsto, velikost ali področje dejavnosti, ki uporabljajo podatke
pri razvoju in uporabi sistemov umetne inteligence.

General Information

• Status: Published
• Public Enquiry End Date: 29-Apr-2024
• Publication Date: 12-Nov-2024
• ICS: 35.020 - Information technology (IT) in general
• ICS: 35.240.01 - Application of information technology in general
• Technical Committee: UMI - Artificial intelligence
• Current Stage: 6060 - National Implementation/Publication (Adopted Project)
• Start Date: 21-Aug-2024
• Due Date: 26-Oct-2024
• Completion Date: 13-Nov-2024
• Ref Project: EN ISO/IEC 8183:2024 - Information technology - Artificial intelligence - Data life cycle framework (ISO/IEC 8183:2023)

Overview

EN ISO/IEC 8183:2024 / ISO/IEC 8183:2023 defines a standardized data life cycle framework for artificial intelligence (AI) systems. Adopted by CEN as EN ISO/IEC 8183:2024, the standard maps the stages data pass through from initial idea conception to final system and data decommissioning. It is technology‑agnostic and does not mandate specific tools, services or platforms. The framework is intended to improve AI data governance, data quality, security and system utility across organizations of all sizes.

Key topics and technical requirements

• Ten life cycle stages are identified and described:
  • Idea conception, Business requirements, Data planning, Data acquisition, Data preparation, Building a model, System deployment, System operation, Data decommissioning, System decommissioning.
• Life cycle processes: actions and processes appropriate to each stage (planning, acquisition, preparation, verification/validation, maintenance, decommissioning).
• Verification vs validation: distinction between internal model verification/validation and whole‑system validation during operation.
• Data decommissioning vs system decommissioning: Stage 9 focuses on data-specific actions (secure deletion, archiving, repurposing) while Stage 10 covers disposal of the system regardless of data outcome.
• Terminology and references: aligns with ISO/IEC 22989 (AI concepts and terminology) and references other related work (e.g., ISO/IEC 23053, ISO/IEC 5212 under preparation).
• Applicability and constraints: applicable to all organizations using data in AI development and operation; highlights patent considerations and national adoption rules under CEN/CENELEC.

Practical applications

• Establishing repeatable AI data governance and lifecycle management processes.
• Designing compliant workflows for data planning, acquisition and preparation to reduce bias and improve data quality.
• Guiding teams on model building, verification/validation and safe system deployment/operation.
• Defining secure data decommissioning and archival procedures for privacy and compliance (e.g., PII handling, DPIA considerations).
• Informing procurement, auditing and risk management for AI projects.

Who should use this standard

• AI/ML engineers, data engineers and data scientists
• IT architects and system integrators
• Compliance, privacy and security teams
• Product managers and risk officers overseeing AI systems
• Standards bodies and organizations implementing AI governance

Related standards

• ISO/IEC 22989 - AI concepts and terminology
• ISO/IEC 23053 - data sets (referenced for dataset lifecycle details)
• ISO/IEC 5212 (under preparation) - data usage life cycle

Keywords: ISO/IEC 8183, data life cycle, AI data governance, artificial intelligence data framework, data decommissioning, model verification, AI system lifecycle.

Standards Content (Sample)

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: [phone]
Email: [e-mail]
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 data in the
development and use of AI systems.
2 Normative references
The following documents are referred to in the text in such a way that some or all of their content
constitutes requirements 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/IEC 22989, Information technology — Artificial intelligence — Artificial intelligence concepts and
terminology
3 Terms and definitions
For the purposes of this document, the terms and definitions given in ISO/IEC 22989 apply.
ISO and IEC maintain terminology databases for use in standardization at the following addresses:
— ISO Online browsing platform: available at https:// www .iso .org/ obp
— IEC Electropedia: available at https:// www .electropedia .org/
4 Symbols and abbreviated terms
AI artificial intelligence
DPIA data protection impact assessment
JSON JavaScript object notation
ML machine learning
OWL web ontology language
PII personally identifiable information
XML extensible markup language
5 Data life cycle overview
The data life cycle for AI systems encompasses the processing of data from the earliest conception of
a new AI system to the eventual decommissioning of the system and is separated into a number of
distinct stages. Each stage will often, but not always, be part of a data life cycle for an AI system.
© ISO/IEC 2023 – All rights reserved

ISO/IEC 8183:2023(E)
A data life cycle represents all the stages through which data can pass within any system that uses data
of any kind. It is designed to support the achievement of objectives related to system governance, system
utility, data quality and data security, by ensuring that data processing is given due consideration
during the planning, development, use and decommissioning of the system.
The detailed purpose and timing of use of these stages throughout the life cycle are influenced by
multiple factors, including societal, commercial, organizational and technical considerations, each of
which can vary or at times be combined with other stages during the life of a system. This document
describes the following 10 stages:
— stage 1 – idea conception;
— stage 2 – business requirements;
— stage 3 – data planning;
— stage 4 – data acquisition;
— stage 5 – data preparation;
— stage 6 – building model;
— stage 7 – system deployment;
— stage 8 – system operation;
— stage 9 – data decommissioning;
— stage 10 – system decommissioning.
1)
For information about a data life cycle for data usage, see ISO/IEC 5212: — .
6 Data life cycle framework
6.1 General
The data life cycle framework, shown in Figure 1, identifies a set of conceptually distinct stages that
data used in an AI system go through from data planning to data decommissioning. Figure 1 also
includes idea conception, business requirements and system decommissioning, which are system-
level life cycle stages. For information regarding data sets, refer to ISO/IEC 23053:2022, 6.5. Life cycle
processes appropriate to a defined task can be assigned to each stage. Life cycle processes describe the
actions taken on the data within the life cycle stage.
Stage 9 (data decommissioning) and stage 10 (system decommissioning) both pertain to
decommissioning but stage 9 specifically covers what happens to the data (e.g. secure deletion,
archiving, repurposing) while stage 10 covers what happens to the system irrespective of what happens
to the data that is being processed.
1) Under preparation. Stage at the time of publication: ISO/IEC DIS 5212:2023.
© ISO/IEC 2023 – All rights reserved
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