ISO 8000-118:2025
(Main)Data quality — Part 118: Application of ISO 8000-115 to natural location identifiers
Data quality — Part 118: Application of ISO 8000-115 to natural location identifiers
This document specifies requirements for natural location identifiers. These requirements supplement those of ISO 8000-115. The following are within the scope of this document: — requirements for the prefix element and a single sub-domain element in a location identifier; — requirements for representing latitude, longitude and storey or elevation of a location. The following are outside the scope of this document: — methods to identify latitude, longitude and elevation.
Qualité des données — Partie 118: Titre manque
General Information
Standards Content (Sample)
International
Standard
ISO 8000-118
First edition
Data quality —
2025-03
Part 118:
Application of ISO 8000-115 to
natural location identifiers
Reference number
© ISO 2025
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ii
Contents Page
Foreword .iv
Introduction .v
0.1 Foundations of the ISO 8000 series .v
0.2 Understanding more about the ISO 8000 series .vi
0.3 Role of this document .vi
0.4 Benefits of the ISO 8000 series . vii
1 Scope . 1
2 Normative references . 1
3 Terms and definitions . 1
4 Fundamental principles and assumptions . 1
4.1 Types of identifiers .1
4.1.1 General .1
4.1.2 Controlled identifiers .2
4.1.3 Natural identifiers . .2
4.2 Ownership and usability of identifiers .2
4.3 Geographic location identifiers .2
5 Natural location identifier representation . 3
5.1 General .3
5.2 Representation .3
5.3 Algorithms . .3
5.3.1 General .3
5.3.2 Identifier(latitude, longitude, elevation, elevationType) .4
5.3.3 EncodePoint(latitude, longitude).5
5.3.4 EncodeLatitude(latitude) .5
5.3.5 EncodeLongitude(longitude).6
5.3.6 EncodeElevation(elevation, elevationType) .6
5.3.7 EncodeStorey(storey) .7
5.3.8 EncodeGroundLevel(elevation) .8
5.3.9 EncodeDecimal(decimalPortion) .8
6 Supporting algorithms . 9
6.1 Common algorithms .9
6.2 Numeric encoding algorithms .9
6.2.1 General .9
6.2.2 Elimination of visually ambiguous encoding characters .9
6.2.3 EncodeBase14(number) .10
6.2.4 EncodeBase19(number) .10
6.2.5 EncodeBase32(number) .11
6.2.6 EncodeStoreyBase34(number) . 12
6.2.7 EncodeGroundBase34(number) .14
6.2.8 EncodeBaseGeneral(number, base, digits, table) .14
7 Requirements for natural location identifiers . 14
8 Conformance .15
Annex A (informative) Document identification .16
Annex B (informative) Encoding tables . 17
Annex C (informative) Example .25
Annex D (informative) Algorithms for representing natural location identifiers .26
Annex E (informative) Computer interpretable listings .28
Bibliography .29
iii
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 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).
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.
iv
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
...
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