ISO/PRF 8000-119

Data quality — Part 119: Application of ISO 8000-115 to transport unit identifiers

This document specifies the requirements for transport unit identifiers. These requirements supplement those of ISO 8000-115. The following are within the scope of this document: — the methods used to identify the originator of a potential shipment, — the methods used to identify the origin and destination locations of a potential shipment, — the requirements for the representation of the originator, origin, and destination locations of a potential shipment in a single identifier The following are outside the scope of this document: — the methods used to identify shipments in the transport phase, — the identification of the goods movement phase.

Qualité des données — Partie 119: Titre manque

General Information

• Status: Not Published
• ICS: 25.040.40 - Industrial process measurement and control
• Technical Committee: ISO/TC 184/SC 4 - Industrial data
• Drafting Committee: ISO/TC 184/SC 4/WG 13 - Industrial Data Quality
• Current Stage: 5020 - FDIS ballot initiated: 2 months. Proof sent to secretariat
• Start Date: 14-Nov-2025
• Completion Date: 13-Dec-2025

Standards Content (Sample)

International
Standard
ISO 8000-119
First edition
Data quality —
Part 119:
Application of ISO 8000-115 to
transport unit identifiers
PROOF/ÉPREUVE
Reference number
ISO 8000-119:2025(en) © ISO 2025

ISO 8000-119:2025(en)
© ISO 2025
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
PROOF/ÉPREUVE
ii
ISO 8000-119:2025(en)
Contents Page
Foreword .iv
Introduction .v
1 Scope . 1
2 Normative references . 1
3 Terms and definitions . 1
4 Fundamental principles and assumptions . 2
5 Encoding a transport unit identifier . 2
5.1 Prefix .2
5.2 Date and time .2
5.3 Natural location identifier for transport unit origin .2
5.4 Natural location identifier for transport unit destination .2
5.5 Purchase order number formatted as an identifier .2
6 Requirements for transport unit identifiers . 3
7 Conformance . 3
Annex A (informative) Document identification . 4
Bibliography . 5
PROOF/ÉPREUVE
iii
ISO 8000-119:2025(en)
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).
ISO draws attention to the possibility that the implementation of this document may involve the use of (a)
patent(s). ISO takes 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 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. ISO 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.
This document was prepared by Technical Committee ISO/TC 184, Automation systems and integration,
Subcommittee SC 4, Industrial data.
A list of all parts in the ISO 8000 series can be found on the ISO website.
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.
PROOF/ÉPREUVE
iv
ISO 8000-119:2025(en)
Introduction
0.1  Foundations of the ISO 8000 series
Digital data deliver value by enhancing all aspects of organizational performance including:
— operational effectiveness and efficiency;
— safety and security;
— reputation with customers and the wider public;
— compliance with statutory regulations;
— innovation;
— consumer costs, revenues and stock prices.
In addition, many organizations are now addressing these considerations with reference to the United
1)
Nations Sustainable Development Goals .
2)
The influence on performance originates from data being the formalized representation of information .
This information enables organizations to make reliable decisions. This decision making can be performed
by human beings directly and also by automated data processing including artificial intelligence systems.
Through widespread adoption of digital computing and associated communication technologies,
organizations become dependent on digital data. This dependency amplifies the negative consequences of
lack of quality in these data. These consequences are the decrease of organizational performance.
The biggest impact of digital data comes from two key factors:
— the data having a structure that reflects the nature of the subject matter;
EXAMPLE 1 A research scientist writes a report using a software application for word processing. This report
includes a table that uses a clear, logical layout to show results from an experiment. These results indicate how
material properties vary with temperature. The report is read by a designer, who uses the results to create a product
that works in a range of different operating temperatures.
— the data being computer processable (machine readable) rather than just being for a person to read and
understand.
EXAMPLE 2 A research scientist uses a database system to store the results of experiments on a material. This
system controls the format of different values in the data set. The system generates an output file of digital data.
This file is processed by a software application for engineering analysis. The application determines the optimum
geometry when using the material to make a product.
ISO 9000 explains that quality is not an abstract concept of absolute perfection. Quality is the conformance
of characteristics to requirements. This means that any item of data can be of high quality for one purpose
but not for a different purpose. The quality is different because the requirements are different between the
two purposes.
EXAMPLE 3 Time data are processed by calendar applications and also by control systems for propulsion units
on spacecraft. These data include start times for meetings in a calendar application and activation times in a control
system. These start times require less precision than the activation times.
1) https://sdgs.un.org/goals
2) ISO 8000-2 defines information as “knowledge concerning objects, such as facts, events, things, processes, or ideas,
including concepts, that within a certain context has a particular meaning”.
PROOF/ÉPREUVE
v
ISO 8000-119:2025(en)
The nature of digital data is fundamental to establishing requirements that are relevant to the specific
decisions that are made by each organization.
EXAMPLE 4 ISO 8000-1 identifies that data have syntactic (format), semantic (meaning) and pragmatic (usefulness)
characteristics.
To support the delivery of high-quality data, the ISO 8000 series addresses:
— data governance, data quality management and maturity assessment;
EXAMPLE 5 ISO 8000-61 specifies a process reference model for data quality management.
— creating and applying requirements for data and information;
EXAMPLE 6 ISO 8000-110 specifies how to exchange characteristic data that are master data.
— monitoring and measuring information and data quality;
EXAMPLE 7 ISO 8000-8 specifies approaches to measuring information and data quality.
— improving data and, consequently, information quality;
EXAMPLE 8 ISO/TS 8000-81 specifies an approach to data profiling, which identifies opportunities to improve
data quality.
— issues that are specific to the type of content in a data set.
EXAMPLE 9 ISO/TS 8000-311 specifies how to address quality considerations for product shape data.
Data quality management covers all aspects of data processing, including creating, collecting, storing,
maintaining, transferring, exploiting and presenting data to deliver information.
Effective data quality management is systemic and systematic, requiring an understanding of the root causes
of data quality issues. This understanding is the basis for not just correcting existing nonconformities but
for also implementing solutions that prevent future reoccurrence of those nonconformities.
EXAMPLE 10 If a data set includes dates in multiple formats including “yyyy-mm-dd”, “mm-dd-yy” and “dd-mm-yy”,
then data cleansing can correct the consistency of the values. Such cleansing requires additional information, however,
to resolve ambiguous entries (such as, “04-05-20”). The cleansing also cannot address any process issues and people
issues, including training, that have caused the inconsistency.
0.2  Role of this document
As a contribution to this overall capability of the ISO 8000 series and a specific application of
...

ISO/DISPRF 8000-119:2025(en)
ISO/TC 184/SC 04/WG 13 4
Secretariat: ANSI
Date: 2025-07-1811-14
Data quality — —
Part 119:
Application of ISO 8000-115 to transport unit identifiers
PROOF
ISO/DISPRF 8000-119:2025(Een)
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
EmailE-mail: [e-mail]
Website: www.iso.org
Published in Switzerland
ii
ISO/DISPRF 8000-119:2025(en)
Contents
Foreword . iv
Introduction . v
1 Scope . 1
2 Normative references . 1
3 Terms and definitions . 1
4 Fundamental principles and assumptions . 2
5 Encoding a transport unit identifier . 2
5.1 Prefix . 2
5.2 Date and time . 2
5.3 Natural location identifier for transport unit origin. 2
5.4 Natural location identifier for transport unit destination . 2
5.5 Purchase order number formatted as an identifier . 2
6 Requirements for transport unit identifiers . 3
7 Conformance . 3
Annex A (informative) Document identification . 4
Bibliography . 5

iii
ISO/DISPRF 8000-119:2025(Een)
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 documentdocuments 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).
ISO draws attention to the possibility that the implementation of this document may involve the use of (a)
patent(s). ISO takes 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 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. ISO 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'sISO’s adherence to the World Trade
Organization (WTO) principles in the Technical Barriers to Trade (TBT), see www.iso.org/iso/foreword.html.
This document was prepared by Technical Committee ISO/TC 184, Automation systems and integration,
Subcommittee SC 4, Industrial data.
A list of all parts in the ISO 8000 series can be found on the ISO website.
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.
iv
ISO/DISPRF 8000-119:2025(en)
Introduction
0.1 0.1  Foundations of the ISO 8000 series
Digital data deliver value by enhancing all aspects of organizational performance including:
— — operational effectiveness and efficiency;
— — safety and security;
— — reputation with customers and the wider public;
— — compliance with statutory regulations;
— — innovation;
— — consumer costs, revenues and stock prices.
In addition, many organizations are now addressing these considerations with reference to the United Nations
1 1)
Sustainable Development Goals . .
2 2)
The influence on performance originates from data being the formalized representation of information . .
This information enables organizations to make reliable decisions. This decision making can be performed by
human beings directly and also by automated data processing including artificial intelligence systems.
Through widespread adoption of digital computing and associated communication technologies,
organizations become dependent on digital data. This dependency amplifies the negative consequences of lack
of quality in these data. These consequences are the decrease of organizational performance.
The biggest impact of digital data comes from two key factors:
— — the data having a structure that reflects the nature of the subject matter;
EXAMPLE 1 A research scientist writes a report using a software application for word processing. This report includes
a table that uses a clear, logical layout to show results from an experiment. These results indicate how material properties
vary with temperature. The report is read by a designer, who uses the results to create a product that works in a range
of different operating temperatures.
— — the data being computer processable (machine readable) rather than just being for a person to read
and understand.
EXAMPLE 2 A research scientist uses a database system to store the results of experiments on a material. This system
controls the format of different values in the data set. The system generates an output file of digital data. This file is
processed by a software application for engineering analysis. The application determines the optimum geometry when
using the material to make a product.
ISO 9000 explains that quality is not an abstract concept of absolute perfection. Quality is the conformance of
characteristics to requirements. This means that any item of data can be of high quality for one purpose but

https://sdgs.un.org/goals
1)
https://sdgs.un.org/goals
ISO 8000-2 defines information as “knowledge concerning objects, such as facts, events, things, processes, or ideas,
including concepts, that within a certain context has a particular meaning”.
2)
ISO 8000-2 defines information as “knowledge concerning objects, such as facts, events, things, processes, or ideas,
including concepts, that within a certain context has a particular meaning”.
v
ISO/DISPRF 8000-119:2025(Een)
not for a different purpose. The quality is different because the requirements are different between the two
purposes.
EXAMPLE 3 Time data are processed by calendar applications and also by control systems for propulsion units on
spacecraft. These data include start times for meetings in a calendar application and activation times in a control system.
These start times require less precision than the activation times.
The nature of digital data is fundamental to establishing requirements that are relevant to the specific
decisions that are made by each organization.
EXAMPLE 4 ISO 8000--1 identifies that data have syntactic (format), semantic (meaning) and pragmatic (usefulness)
characteristics.
To support the delivery of high--quality data, the ISO 8000 series addresses:
— — data governance, data quality management and maturity assessment;
EXAMPLE 5 ISO 8000--61 specifies a process reference model for data quality management.
— — creating and applying requirements for data and information;
EXAMPLE 6 ISO 8000--110 specifies how to exchange characteristic data that are master data.
— — monitoring and measuring information and data quality;
EXAMPLE 7 ISO 8000--8 specifies approaches to measuring information and data quality.
— — improving data and, consequently, information quality;
EXAMPLE 8 ISO/TS 8000--81 specifies an approach to data profiling, which identifies opportunities to improve data
quality.
— — issues that are specific to the type of content in a data set.
EXAMPLE 9 ISO/TS 8000--311 specifies how to address quality considerations for product shape data.
Data quality management covers all aspects of data processing, including creating, collecting, storing,
maintaining, transferring, exploiting and presenting data to deliver information.
Effective data quality management is systemic and systematic, requiring an understanding of the root causes
of data quality issues. This understanding is the basis for not just correcting existing nonconformities but for
also implementing solutions that prevent future reoccurrence of those nonconformities.
EXAMPLE 10 If a data set includes dates in multiple formats including “yyyy--mm--dd”, “mm--dd--yy” and
“dd--mm--yy”, then data cleansing can correct the consistency of the values. Such cleansing requires additional
information, however, to resolve ambiguous entries (such as, “04--05--20”). The cleansing also cannot address any
process issues and people issues, including training, that have caused the inconsistency.
0.2 0.2  Role of this document
As a contribution to this overall capability of the ISO 8000 series and a specific application of ISO 8000-115 to
solve a current problem in the transport exchange, this document specifies requirements for a transport unit
identifier (TUID) also referred to as a load identifier. These requirements support the data to represent
unambiguously the information that organizations use. Transport unit identifiers are important to
organizations because these identifiers allow them to unambiguously identify a load throughout its shipment
phases. The transport unit identifier allows systems and so
...