Geographic information - Data quality (ISO 19157:2013)

ISO 19157 establishes the principles for describing the quality of geographic data. It defines components for describing data quality; specifies components and content structure of a register for data quality measures; describes general procedures for evaluating the quality of geographic data; establishes principles for reporting data quality. This International Standard also defines a set of data quality measures for use in evaluating and reporting data quality. It is applicable to data producers providing quality information to describe and assess how well a dataset conforms to its product specification and to data users attempting to determine whether or not specific geographic data is of sufficient quality for their particular application. This International Standard does not attempt to define minimum acceptable levels of quality for geographic data.
This International Standard also provides guidance on how to describe, evaluate and report data quality.
This International Standard is applicable to data producers providing quality information to describe and assess how well a dataset conforms to its product specification and to data users attempting to determine whether or not specific geographic data is of sufficient quality for their particular application.
This International Standard does not attempt to define a minimum acceptable level of quality for geographic data.

Geoinformation - Datenqualität (ISO 19157:2013)

Information géographique - Qualité de données (ISO 19157:2013)

L'ISO 19157:2013 établit les principes de description de la qualité des données géographiques. Elle
-      définit des composants destinés à décrire la qualité de données;
-      spécifie des composants et la structure du contenu d'un registre de mesures de qualité des données;
-      décrit des procédures générales d'évaluation de la qualité des données géographique;
-      pose les principes de la description de la qualité des données dans des rapports.
L'ISO 19157:2013 définit également un ensemble de mesures de qualité des données destinées à l'évaluation et à la mise en place de rapports sur la qualité de données. Elle s'applique aux producteurs de données fournissant des informations de qualité pour décrire et évaluer la façon dont un jeu de données répond à sa spécification de produit et aux utilisateurs cherchant à déterminer si des données géographiques spécifiques sont ou non de qualité suffisante pour leur application particulière.
L'ISO 19157:2013 ne cherche pas à définir des niveaux minimums acceptables de qualité en matière de données géographiques.

Geografske informacije - Kakovost podatkov (ISO 19157:2013)

Standard ISO 19157 določa načela za opisovanje kakovosti geografskih podatkov. Določa sestavne dele za opis kakovosti podatkov; določa sestavne dele in zgradbo vsebine registra za meritve kakovosti podatkov; opisuje splošne postopke za oceno kakovosti geografskih podatkov; določa načela za poročanje o kakovosti podatkov. Ta mednarodni standard določa tudi nabor meritev kakovosti podatkov za uporabo pri ocenjevanju in poročanju o kakovosti podatkov. Velja za proizvajalce podatkov, ki zagotavljajo kakovostne podatke, za opis in oceno stopnje ustreznosti nabora podatkov specifikaciji izdelka in uporabnike podatkov, ki poskušajo ugotoviti, ali so določeni geografski podatki dovolj kakovostni za njihovo želeno uporabo. Ta mednarodni standard ne poskuša določiti minimalnih sprejemljivih ravni kakovosti geografskih podatkov.

General Information

Status
Withdrawn
Public Enquiry End Date
30-Sep-2011
Publication Date
19-Jan-2015
Withdrawal Date
05-Jun-2023
Technical Committee
Current Stage
9900 - Withdrawal (Adopted Project)
Start Date
05-Jun-2023
Due Date
28-Jun-2023
Completion Date
06-Jun-2023

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SLOVENSKI STANDARD
SIST EN ISO 19157:2015
01-februar-2015
1DGRPHãþD
SIST EN ISO 19113:2005
SIST EN ISO 19114:2005
SIST EN ISO 19114:2005/AC:2006
Geografske informacije - Kakovost podatkov (ISO 19157:2013)
Geographic information - Data quality (ISO 19157:2013)
Geoinformation - Datenqualität (ISO 19157:2013)
Information géographique - Qualité de données (ISO 19157:2013)
Ta slovenski standard je istoveten z: EN ISO 19157:2013
ICS:
03.120.99 Drugi standardi v zvezi s Other standards related to
kakovostjo quality
07.040 Astronomija. Geodezija. Astronomy. Geodesy.
Geografija Geography
35.240.70 Uporabniške rešitve IT v IT applications in science
znanosti
SIST EN ISO 19157:2015 en,fr,de
2003-01.Slovenski inštitut za standardizacijo. Razmnoževanje celote ali delov tega standarda ni dovoljeno.

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SIST EN ISO 19157:2015

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SIST EN ISO 19157:2015

EUROPEAN STANDARD
EN ISO 19157

NORME EUROPÉENNE

EUROPÄISCHE NORM
December 2013
ICS 35.240.70 Supersedes EN ISO 19113:2005, EN ISO 19114:2005
English Version
Geographic information - Data quality (ISO 19157:2013)
Information géographique - Qualité des données (ISO Geoinformation - Datenqualität (ISO 19157:2013)
19157:2013)
This European Standard was approved by CEN on 9 November 2013.

CEN 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 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 member into its own language and notified to the CEN-CENELEC Management Centre has the same
status as the official versions.

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





EUROPEAN COMMITTEE FOR STANDARDIZATION
COMITÉ EUROPÉEN DE NORMALISATION

EUROPÄISCHES KOMITEE FÜR NORMUNG

CEN-CENELEC Management Centre: Avenue Marnix 17, B-1000 Brussels
© 2013 CEN All rights of exploitation in any form and by any means reserved Ref. No. EN ISO 19157:2013 E
worldwide for CEN national Members.

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SIST EN ISO 19157:2015
EN ISO 19157:2013 (E)
Contents Page
Foreword .3

2

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SIST EN ISO 19157:2015
EN ISO 19157:2013 (E)
Foreword
This document (EN ISO 19157:2013) has been prepared by Technical Committee ISO/TC 211 “Geographic
information/Geomatics” in collaboration with Technical Committee CEN/TC 287 “Geographic Information” the
secretariat of which is held by BSI.
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 June 2014, and conflicting national standards shall be withdrawn at
the latest by June 2014.
Attention is drawn to the possibility that some of the elements of this document may be the subject of patent
rights. CEN [and/or CENELEC] shall not be held responsible for identifying any or all such patent rights.
This document supersedes EN ISO 19113:2005, EN ISO 19114:2005.
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, Former Yugoslav Republic of Macedonia, France, Germany, Greece,
Hungary, Iceland, Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Norway, Poland, Portugal,
Romania, Slovakia, Slovenia, Spain, Sweden, Switzerland, Turkey and the United Kingdom.
Endorsement notice
The text of ISO 19157:2013 has been approved by CEN as EN ISO 19157:2013 without any modification.

3

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SIST EN ISO 19157:2015

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SIST EN ISO 19157:2015
INTERNATIONAL ISO
STANDARD 19157
First edition
2013-12-15
Geographic information — Data quality
Information géographique — Qualité des données
Reference number
ISO 19157:2013(E)
©
ISO 2013

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SIST EN ISO 19157:2015
ISO 19157:2013(E)

COPYRIGHT PROTECTED DOCUMENT
© ISO 2013
All rights reserved. Unless otherwise specified, 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
Case postale 56 • CH-1211 Geneva 20
Tel. + 41 22 749 01 11
Fax + 41 22 749 09 47
E-mail copyright@iso.org
Web www.iso.org
Published in Switzerland
ii © ISO 2013 – All rights reserved

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SIST EN ISO 19157:2015
ISO 19157:2013(E)

Contents Page
Foreword .iv
Introduction .v
1 Scope . 1
2 Conformance . 1
3 Normative references . 1
4 Terms and definitions . 2
5 Abbreviated terms . 4
5.1 Abbreviations . 4
5.2 Package abbreviations . 5
6 Overview of data quality . 5
7 Components of data quality . 6
7.1 Overview of the components . 6
7.2 Data quality unit . 7
7.3 Data quality elements . 8
7.4 Descriptors of data quality elements .11
7.5 Metaquality elements .14
7.6 Descriptors of a metaquality element .15
8 Data quality measures .16
8.1 General .16
8.2 Standardized data quality measures .16
8.3 User defined data quality measures .16
8.4 Catalogue of data quality measures .16
8.5 List of components .17
8.6 Component details .18
9 Data quality evaluation.20
9.1 The process for evaluating data quality .20
9.2 Data quality evaluation methods .21
9.3 Aggregation and derivation.23
10 Data quality reporting .23
10.1 General .23
10.2 Particular cases .24
Annex A (normative) Abstract test suites .26
Annex B (informative) Data quality concepts and their use .28
Annex C (normative) Data dictionary for data quality .34
Annex D (normative) List of standardized data quality measures .50
Annex E (informative) Evaluating and reporting data quality .96
Annex F (informative) Sampling methods for evaluating .119
Annex G (normative) Data quality basic measures .127
Annex H (informative) Management of data quality measures .132
Annex I (informative) Guidelines for the use of Quality Elements .135
Annex J (informative) Aggregation of data quality results .144
Bibliography .146
© ISO 2013 – All rights reserved iii

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SIST EN ISO 19157:2015
ISO 19157:2013(E)

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).
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. Details of
any patent rights identified during the development of the document will be in the Introduction and/or
on the ISO list of patent declarations received (see www.iso.org/patents).
Any trade name used in this document is information given for the convenience of users and does not
constitute an endorsement.
For an explanation on the meaning of ISO specific terms and expressions related to conformity
assessment, as well as information about ISO’s adherence to the WTO principles in the Technical Barriers
to Trade (TBT) see the following URL: Foreword - Supplementary information
The committee responsible for this document is ISO/TC 211, Geographic information/Geomatics
This edition of ISO 19157:2013 cancels and replaces ISO/TS 19138:2006, ISO 19114:2003 and
ISO 19113:2002, which have been technically revised.
iv © ISO 2013 – All rights reserved

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SIST EN ISO 19157:2015
ISO 19157:2013(E)

Introduction
Geographic data are increasingly being shared, interchanged and used for purposes other than their
producers’ intended ones. Information about the quality of available geographic data are vital to the
process of selecting a data set in that the value of data are directly related to its quality. A user of
geographic data may have multiple data sets from which to choose. Therefore, it is necessary to compare
the quality of the data sets to determine which best fulfils the requirements of the user.
The purpose of describing the quality of geographic data is to facilitate the comparison and selection
of the data set best suited to application needs or requirements. Complete descriptions of the quality
of a data set will encourage the sharing, interchange and use of appropriate data sets. Information on
the quality of geographic data allows a data producer to evaluate how well a data set meets the criteria
set forth in its product specification and assists data users in evaluating a product’s ability to satisfy
the requirements for their particular application. For the purpose of this evaluation, clearly defined
procedures are used in a consistent manner.
To facilitate comparisons, it is essential that the results of the quality reports are expressed in a
comparable way and that there is a common understanding of the data quality measures that have
been used. These data quality measures provide descriptors of the quality of geographic data through
comparison with the universe of discourse. The use of incompatible measures makes data quality
comparisons impossible to perform. This International Standard standardizes the components and
structures of data quality measures and defines commonly used data quality measures.
This International Standard recognizes that a data producer and a data user may view data quality
from different perspectives. Conformance quality levels can be set using the data producer’s product
specification or a data user’s data quality requirements. If the data user requires more data quality
information than that provided by the data producer, the data user can follow the data producer’s data
quality evaluation process flow to get the additional information. In this case the data user requirements
are treated as a product specification for the purpose of using the data producer process flow.
The objective of this International Standard is to provide principles for describing the quality for
geographic data and concepts for handling quality information for geographic data, and a consistent
and standard manner to determine and report a data set’s quality information. It aims also to provide
guidelines for evaluation procedures of quantitative quality information for geographic data.
© ISO 2013 – All rights reserved v

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SIST EN ISO 19157:2015

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SIST EN ISO 19157:2015
INTERNATIONAL STANDARD ISO 19157:2013(E)
Geographic information — Data quality
1 Scope
This International Standard establishes the principles for describing the quality of geographic data. It
— defines components for describing data quality;
— specifies components and content structure of a register for data quality measures;
— describes general procedures for evaluating the quality of geographic data;
— establishes principles for reporting data quality.
This International Standard also defines a set of data quality measures for use in evaluating and reporting
data quality. It is applicable to data producers providing quality information to describe and assess how
well a data set conforms to its product specification and to data users attempting to determine whether
or not specific geographic data are of sufficient quality for their particular application.
This International Standard does not attempt to define minimum acceptable levels of quality for
geographic data.
2 Conformance
Any product claiming conformance to this International Standard shall pass all the requirements
described in the abstract test suite presented in Annex A as follows:
a) A data quality evaluation process shall pass the tests outlined in A.1;
b) Data quality metadata shall pass the tests outlined in A.2 and A.3;
c) A standalone quality report shall pass the tests outlined in A.4;
d) A data quality measure shall pass the tests outlined in A.5.
3 Normative references
The following referenced documents, in whole or in part, are normatively referenced in this document
and are indispensable for its application. For dated references, only the edition cited applies. For undated
references, the latest edition of the referenced document (including any amendments) applies.
ISO/TS 19103:2005, Geographic information — Conceptual schema language
ISO 19108:2002, Geographic information — Temporal schema
1)
ISO 19115-1:2014, Geographic information — Metadata — Part 1: Fundamentals
ISO 19115-2:2009, Geographic information — Metadata — Part 2: Extensions for imagery and gridded data
ISO 19135:2005, Geographic information — Procedures for item registration
1) Under preparation.
© ISO 2013 – All rights reserved 1

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SIST EN ISO 19157:2015
ISO 19157:2013(E)

4 Terms and definitions
4.1
accuracy
closeness of agreement between a test result or measurement result and the true value
Note 1 to entry: In this International Standard, the true value can be a reference value that is accepted as true.
[SOURCE: ISO 3534-2:2006, 3.3.1, modified – original Note has been deleted. New Note 1 to entry
has been added.]
4.2
catalogue
collection of items (4.18) or an electronic or paper document that contains information about the
collection of items
[SOURCE: ISO 10303-227:2005, 3.3.10, modified - Note has been deleted.]
4.3
conformance
fulfilment of specified requirements
[SOURCE: ISO 19105:2000, 3.8]
4.4
conformance quality level
threshold value or set of threshold values for data quality (4.21) results used to determine how well a
dataset (4.8) meets the criteria set forth in its data product specification (4.6) or user requirements
4.5
correctness
correspondence with the universe of discourse (4.24)
4.6
data product specification
detailed description of a dataset (4.8) or dataset series (4.9) together with additional information that
will enable it to be created, supplied to and used by another party
[SOURCE: ISO 19131:2007, 4.7, modified - Note has been deleted.]
4.7
data quality basic measure
generic data quality (4.21) measure used as a basis for the creation of specific data quality measures
Note 1 to entry: Data quality basic measures are abstract data types. They cannot be used directly when reporting
data quality.
4.8
dataset
identifiable collection of data
Note 1 to entry: A data set can be a smaller grouping of data which, though limited by some constraint such as
spatial extent or feature type (4.15), is located physically within a larger data set. Theoretically, a data set can be
as small as a single feature (4.11) or feature attribute (4.12) contained within a larger data set. A hardcopy map or
chart can be considered a data set.
2)
[SOURCE: ISO 19115-1:—, 4.3 ]
2) To be published.
2 © ISO 2013 – All rights reserved

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SIST EN ISO 19157:2015
ISO 19157:2013(E)

4.9
dataset series
collection of datasets (4.8) sharing common characteristics
3)
[SOURCE: ISO 19115-1:—, 4.10]
4.10
direct evaluation method
method of evaluating the quality (4.21) of a dataset (4.8) based on inspection of the items (4.18)
within the dataset
4.11
feature
abstraction of real world phenomena
Note 1 to entry: A feature may occur as a type or an instance. Feature type (4.15) or feature instance (4.13) will be
used when only one is meant.
[SOURCE: ISO 19101:2002, 4.11]
4.12
feature attribute
characteristic of a feature (4.11)
Note 1 to entry: A feature attribute has a name, a data type and a value domain associated with it. A feature
attribute for a feature instance (4.13) also has an attribute value taken from the value domain.
[SOURCE: ISO 19101:2002, 4.12, modified – Examples have been deleted. Note 1 to entry has been added.]
4.13
feature instance
individual of a given feature type (4.15) having specified feature attribute (4.12) values
4)
[SOURCE: ISO 19101-1:—, 4.1.14]
4.14
feature operation
operation that every instance of a feature type (4.15) may perform
[SOURCE: ISO 19110:2005, 4.5 - modified, Example and Note have been removed.]
4.15
feature type
class of features (4.11) having common characteristics
[SOURCE: ISO 19156:2011, 4.7]
4.16
geographic data
data with implicit or explicit reference to a location relative to the Earth
[SOURCE: ISO 19109:2005, 4.12, modified - Note has been deleted.]
4.17
indirect evaluation method
method of evaluating the quality (4.21) of a dataset (4.8) based on external knowledge
Note 1 to entry: Examples of external knowledge are data set lineage, such as production method or source data.
3) To be published.
4) To be published.
© ISO 2013 – All rights reserved 3

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SIST EN ISO 19157:2015
ISO 19157:2013(E)

4.18
item
anything that can be described and considered separately
Note 1 to entry: An item can be any part of a data set (4.8), such as a feature (4.11), feature relationship, feature
attribute (4.12), or combination of these.
[SOURCE: ISO 2859-5:2005, 3.4, modified – Original Example has been removed. Note 1 to entry has
been added.]
4.19
metadata
information about a resource
5)
[SOURCE: ISO 19115-1:—, 4.9]
4.20
metaquality
information describing the quality (4.21) of data quality
4.21
quality
degree to which a set of inherent characteristics fulfils requirements
[SOURCE: ISO 9000:2005, 3.1.1, modified - Original Notes have been removed.]
4.22
register
set of files containing identifiers assigned to items (4.18) with descriptions of the associated items
[SOURCE: ISO 19135:2005, 4.1.9]
4.23
standalone quality report
free text document providing fully detailed information about data quality (4.21) evaluations, results
and measures used
4.24
universe of discourse
view of the real or hypothetical world that includes everything of interest
[SOURCE: ISO 19101:2002, 4.29]
5 Abbreviated terms
5.1 Abbreviations
ADQR aggregated data quality results
AQL acceptance quality limit [ISO 3534-2:2006]
RMSE root mean square error
UML Unified Modeling Language
XML Extensible Markup Language
5) To be published.
4 © ISO 2013 – All rights reserved

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SIST EN ISO 19157:2015
ISO 19157:2013(E)

5.2 Package abbreviations
Abbreviations are used to denote the package that contains a class. Those abbreviations precede class
names, connected by a “_”. The standard in which those classes are located is indicated in parentheses.
A list of those abbreviations follows.
CI Citation [ISO 19115-1:2014]
CT Catalogues [ISO/TS 19139:2007]
DQ Data Quality [ISO 19157]
DQM Data Quality Measure [ISO 19157]
EX Extent [ISO 19115-1:2014]
GF General Feature [ISO 19109:2005]
MD Metadata [ISO 19115-1:2014]
QE Quality Extended [ISO 19115-2:2009]
RE Registration [ISO 19135:2005]
6 Overview of data quality
Working with data quality includes:
— understanding of the concepts of data quality related to geographic data. Annex B is a description of
data quality concepts used to establish the components for describing the quality of geographic data;
— defining data quality conformance levels in data product specifications or based on user
requirements. Establishment of data product specifications is described in ISO 19131:2007;
— specifying quality aspects in application schemas;
— evaluating data quality;
— reporting data quality.
NOTE 1 The development of application schemas is described in ISO 19109:2005.
A data quality evaluation can be applied to data set series, a data set or a subset of data within a data set,
sharing common characteristics so that its quality can be evaluated.
Data quality shall be described using the data quality elements. Data quality elements and their
descriptors are used to describe how well a data set meets the criteria set forth in its data product
specification or user requirements and provide quantitative quality information.
When data quality information describes data that have been created without a detailed data product
specification or with a data product specification that lacks quantitative measures and descriptors, the
data element may be evaluated in a non-quantitative subjective way as a descriptive result for each element.
© ISO 2013 – All rights reserved 5

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SIST EN ISO 19157:2015
ISO 19157:2013(E)

Some quality related information is provided by purpose, usage and lineage. This information is reported
as metadata in conformance with ISO 19115-1:2014.
NOTE 2 Purpose describes the rationale for creating a data set and contains information about its intended
use, which may not be the same as the actual use of the data set. Usage describes the application(s) for which a
data set has been used, either by the data producer or by other data users. Lineage describes the history of a data
set and recounts the life cycle of a data set from collection and acquisition through compilation and derivation to
its current form. This general, non-quantitative information is illustrative for users and can help assessing the
quality of a data set, especially in cases where it is used for a particular application that differs from the intended
application (see also 9.2.3).
This International Standard recog
...

SLOVENSKI STANDARD
oSIST prEN ISO 19157:2011
01-september-2011
Geografske informacije - Kakovost podatkov (ISO/DIS 19157:2011)
Geographic information - Data quality (ISO/DIS 19157:2011)
Geoinformation - Datenqualität (ISO/DIS 19157:2011)
Information géographique - Qualité de données (ISO/DIS 19157:2011)
Ta slovenski standard je istoveten z: prEN ISO 19157
ICS:
03.120.99 Drugi standardi v zvezi s Other standards related to
kakovostjo quality
07.040 Astronomija. Geodezija. Astronomy. Geodesy.
Geografija Geography
35.240.70 Uporabniške rešitve IT v IT applications in science
znanosti
oSIST prEN ISO 19157:2011 en,fr,de
2003-01.Slovenski inštitut za standardizacijo. Razmnoževanje celote ali delov tega standarda ni dovoljeno.

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oSIST prEN ISO 19157:2011

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oSIST prEN ISO 19157:2011


EUROPEAN STANDARD
DRAFT
prEN ISO 19157
NORME EUROPÉENNE

EUROPÄISCHE NORM

July 2011
ICS 35.240.70 Will supersede EN ISO 19113:2005, EN ISO 19114:2005
English Version
Geographic information - Data quality (ISO/DIS 19157:2011)
Information géographique - Qualité de données (ISO/DIS Geoinformation - Datenqualität (ISO/DIS 19157:2011)
19157:2011)
This draft European Standard is submitted to CEN members for parallel enquiry. It has been drawn up by the Technical Committee
CEN/TC 287.

If this draft becomes a European Standard, CEN 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.

This draft European Standard was established by CEN in three official versions (English, French, German). A version in any other language
made by translation under the responsibility of a CEN member into its own language and notified to the CEN-CENELEC Management
Centre has the same status as the official versions.

CEN members are the national standards bodies 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, Romania, Slovakia, Slovenia, Spain, Sweden, Switzerland and United Kingdom.

Recipients of this draft are invited to submit, with their comments, notification of any relevant patent rights of which they are aware and to
provide supporting documentation.

Warning : This document is not a European Standard. It is distributed for review and comments. It is subject to change without notice and
shall not be referred to as a European Standard.


EUROPEAN COMMITTEE FOR STANDARDIZATION
COMITÉ EUROPÉEN DE NORMALISATION

EUROPÄISCHES KOMITEE FÜR NORMUNG

Management Centre: Avenue Marnix 17, B-1000 Brussels
© 2011 CEN All rights of exploitation in any form and by any means reserved Ref. No. prEN ISO 19157:2011: E
worldwide for CEN national Members.

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oSIST prEN ISO 19157:2011
prEN ISO 19157:2011 (E)
Contents Page
Foreword .3

2

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oSIST prEN ISO 19157:2011
prEN ISO 19157:2011 (E)
Foreword
This document (prEN ISO 19157:2011) has been prepared by Technical Committee ISO/TC 211 "Geographic
information/Geomatics" in collaboration with Technical Committee CEN/TC 287 “Geographic Information” the
secretariat of which is held by BSI.
This document is currently submitted to the parallel Enquiry.
This document will supersede EN ISO 19113:2005, EN ISO 19114:2005.
Endorsement notice
The text of ISO/DIS 19157:2011 has been approved by CEN as a prEN ISO 19157:2011 without any
modification.

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oSIST prEN ISO 19157:2011

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oSIST prEN ISO 19157:2011

DRAFT INTERNATIONAL STANDARD ISO/DIS 19157
ISO/TC 211 Secretariat: SN
Voting begins on Voting terminates on

2011-07-14 2011-12-14
INTERNATIONAL ORGANIZATION FOR STANDARDIZATION    МЕЖДУНАРОДНАЯ ОРГАНИЗАЦИЯ ПО СТАНДАРТИЗАЦИИ    ORGANISATION INTERNATIONALE DE NORMALISATION


Geographic information — Data quality
Information géographique — Qualité de données
(Revision of ISO 19113:2002, ISO 19114:2006 and ISO/TS 19138:2006)
ICS 35.240.70





ISO/CEN PARALLEL PROCESSING
This draft has been developed within the International Organization for Standardization (ISO), and
processed under the ISO-lead mode of collaboration as defined in the Vienna Agreement.
This draft is hereby submitted to the ISO member bodies and to the CEN member bodies for a parallel
five-month enquiry.
Should this draft be accepted, a final draft, established on the basis of comments received, will be
submitted to a parallel two-month approval vote in ISO and formal vote in CEN.

In accordance with the provisions of Council Resolution 15/1993 this document is circulated in
the English language only.
Conformément aux dispositions de la Résolution du Conseil 15/1993, ce document est distribué
en version anglaise seulement.

To expedite distribution, this document is circulated as received from the committee
secretariat. ISO Central Secretariat work of editing and text composition will be undertaken at
publication stage.
Pour accélérer la distribution, le présent document est distribué tel qu'il est parvenu du
secrétariat du comité. Le travail de rédaction et de composition de texte sera effectué au
Secrétariat central de l'ISO au stade de publication.



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REFERRED TO AS AN INTERNATIONAL STANDARD UNTIL PUBLISHED AS SUCH.
IN ADDITION TO THEIR EVALUATION AS BEING ACCEPTABLE FOR INDUSTRIAL, TECHNOLOGICAL, COMMERCIAL AND USER PURPOSES,
DRAFT INTERNATIONAL STANDARDS MAY ON OCCASION HAVE TO BE CONSIDERED IN THE LIGHT OF THEIR POTENTIAL TO BECOME
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RECIPIENTS OF THIS DRAFT ARE INVITED TO SUBMIT, WITH THEIR COMMENTS, NOTIFICATION OF ANY RELEVANT PATENT RIGHTS OF WHICH
THEY ARE AWARE AND TO PROVIDE SUPPORTING DOCUMENTATION.
©  International Organization for Standardization, 2011

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oSIST prEN ISO 19157:2011
ISO/DIS 19157

Copyright notice
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ii © ISO 2011 – All rights reserved

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oSIST prEN ISO 19157:2011
ISO/DIS 19157
Contents Page
Foreword . vii
Introduction . viii
1 Scope . 1
2 Conformance . 1
3 Normative references . 1
4 Terms and definitions . 2
5 Abbreviated terms . 4
5.1 Abbreviations . 4
5.2 Package abbreviations . 5
6 Overview of data quality . 5
7 Components of data quality . 6
7.1 Overview of the components . 6
7.2 Data quality unit . 7
7.3 Data quality scope . 8
7.4 Data quality elements . 9
7.4.1 General . 9
7.4.2 Completeness . 10
7.4.3 Logical consistency . 10
7.4.4 Positional accuracy . 11
7.4.5 Thematic accuracy . 11
7.4.6 Temporal quality . 11
7.4.7 Usability element . 11
7.5 Descriptors of data quality elements . 12
7.5.1 General . 12
7.5.2 Measure . 12
7.5.3 Evaluation method . 13
7.5.4 Result . 13
7.6 Metaquality elements . 15
7.7 Descriptors of a metaquality element . 16
8 Data quality measures . 17
8.1 General . 17
8.2 Standardised data quality measures . 17
8.3 User defined data quality measures . 17
8.4 Catalogue of data quality measures . 17
8.5 List of components . 18
8.6 Component details . 19
8.6.1 Measure identifier . 19
8.6.2 Name . 19
8.6.3 Alias . 19
8.6.4 Element name . 19
8.6.5 Basic measure . 20
8.6.6 Definition . 20
8.6.7 Description . 20
8.6.8 Parameter . 20
8.6.9 Value type . 20
8.6.10 Value structure . 20
8.6.11 Source reference . 20
8.6.12 Example . 20
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oSIST prEN ISO 19157:2011
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9 Data quality evaluation . 21
9.1 The process for evaluating data quality . 21
9.1.1 Introduction . 21
9.1.2 The process flow. 21
9.1.3 Process steps . 22
9.2 Data quality evaluation methods . 22
9.2.1 Classification of data quality evaluation methods . 22
9.2.2 Direct evaluation . 23
9.2.3 Indirect evaluation . 23
9.3 Aggregation and derivation . 24
10 Data quality reporting . 24
10.1 General . 24
10.2 Particular cases . 25
10.2.1 Reporting Aggregation (aggregated results) . 25
10.2.2 Reporting Derivation (derived results) . 25
10.2.3 Reference to the original data quality result . 26
Annex A (normative) Abstract test suites. 27
A.1 Test case identifier: Quality evaluation process . 27
A.2 Test case identifier: Data quality metadata . 27
A.3 Test case identifier: Metadata conformity . 27
A.4 Test case identifier: Standalone quality report . 28
A.5 Test case identifier: Data quality measures . 28
Annex B (informative) Data quality concepts and their use . 29
B.1 Framework of data quality concepts . 29
B.2 The structure of datasets and components for quality description . 30
B.3 When to use quality evaluation procedures . 31
B.4 Reporting quality information . 32
B.4.1 Why report data quality . 32
B.4.2 When to report quality information . 32
B.4.3 How to report quality information . 33
Annex C (normative) Data dictionary for data quality . 35
C.1 Data dictionary overview . 35
C.1.1 Introduction . 35
C.1.2 Name/role name . 35
C.1.3 Definition . 35
C.1.4 Obligation/Condition . 35
C.1.5 Maximum occurrence . 36
C.1.6 Data type . 36
C.1.7 Domain . 36
C.2 Quality package data dictionaries. 37
C.2.1 Data quality information . 37
C.2.2 Measures information . 45
C.3 CodeLists and enumerations . 49
C.3.1 Introduction . 49
C.3.2 DQ_EvaluationMethodTypeCode <> . 49
C.3.3 DQM_ValueStructure <> . 49
Annex D (normative) List of standardised data quality measures . 50
D.1 Introduction . 50
D.2 Completeness . 50
D.2.1 Commission . 50
D.2.2 Omission . 53
D.3 Logical consistency . 54
D.3.1 Conceptual consistency . 54
D.3.2 Domain consistency . 59
D.3.3 Format consistency . 61
D.3.4 Topological consistency . 62
D.4 Positional accuracy . 69
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oSIST prEN ISO 19157:2011
ISO/DIS 19157
D.4.1 Absolute or external accuracy . 69
D.4.2 Gridded data position accuracy . 92
D.5 Temporal quality . 93
D.5.1 Accuracy of a time measurement . 93
D.5.2 Temporal consistency . 96
D.5.3 Temporal validity . 96
D.6 Thematic accuracy . 96
D.6.1 Classification correctness . 96
D.6.2 Non-quantitative attribute correctness . 101
D.6.3 Quantitative attribute accuracy . 102
D.7 Aggregation Measures . 105
Annex E (informative) Evaluating and reporting data quality . 108
E.1 Introduction . 108
E.2 Dataset description . 108
E.2.1 Data product specification . 108
E.2.2 Representation of the real world, the universe of discourse and the dataset . 109
E.3 Quality evaluation process . 112
E.3.1 Specify data quality unit(s) . 112
E.3.2 Specify data quality measures . 112
E.3.3 Specify data quality evaluation procedures . 112
E.3.4 Determine the output of the data quality evaluation (Result) . 113
E.4 Reporting data quality . 118
E.4.1 Reporting as metadata . 118
E.4.2 Reporting in a standalone quality report . 127
E.5 Additional examples . 127
E.5.1 General . 127
E.5.2 Reporting descriptive results as metadata . 128
E.5.3 Reporting metaquality as metadata . 128
E.5.4 How to report sampling procedure . 130
Annex F (informative) Sampling methods for evaluating . 132
F.1 Introduction . 132
F.2 Lot and item . 132
F.3 Sample size . 132
F.4 Sampling strategies . 133
F.4.1 Introduction . 133
F.4.2 Probabilistic versus judgemental sampling . 134
F.4.3 Feature-guided versus area-guided sampling . 134
F.5 Probability-based sampling. 136
F.5.1 General considerations . 136
F.5.2 Existing standard for inspection by sampling . 136
F.5.3 Sampling process . 139
Annex G (normative) Data quality basic measures .
...

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