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1、BRITISH STANDARD BS EN ISO 19114:2005 Incorporating amendment no. 1 (renumbers BS ISO 19114:2003 as BS EN ISO 19114:2005) and corrigendum no. 1 Geographic information Quality evaluation procedures This European Standard EN ISO 19114:2005, incorporating corrigendum no. 1:2006, has the status of a Bri
2、tish Standard ICS 35.240.70 ? Licensed Copy: London South Bank University, London South Bank University, Tue Jan 23 07:42:51 GMT+00:00 2007, Uncontrolled Copy, (c) BSI BS EN ISO 19114:2005 This British Standard was published under the authority of the Standards Policy and Strategy Committee on 3 Nov
3、ember 2003 BSI 2007 ISBN 0 580 42855 9 National foreword This British Standard was published by BSI. It is the UK implementation of EN ISO 19114:2005, incorporating corrigendum July 2006. It is identical with ISO 19114:2003. The UK participation in its preparation was entrusted to Technical Committe
4、e IST/36, Geographic information. A list of organizations represented on this committee can be obtained on request to its secretary. This publication does not purport to include all the necessary provisions of a contract. Users are responsible for its correct application. Compliance with a British S
5、tandard cannot confer immunity from legal obligations. Amendments issued since publication Amd. No. DateComments 1556824 May 2005Implementation of the European Standard 16850 Corrigendum No. 1 31 January 2007 Replacement of Figure G.3 Licensed Copy: London South Bank University, London South Bank Un
6、iversity, Tue Jan 23 07:42:51 GMT+00:00 2007, Uncontrolled Copy, (c) BSI EUROPEAN STANDARD NORME EUROPENNE EUROPISCHE NORM EN ISO 19114 January 2005 ICS 35.240.70 English version Geographic information - Quality evaluation procedures (ISO 19114:2003) Information gographique - Procdures dvaluation de
7、 la qualit (ISO 19114:2003) Geoinformation - Verfahren zur Ermittlung der Datenqualitt (ISO 19114:2003) This European Standard was approved by CEN on 24 December 2004. CEN members are bound to comply with the CEN/CENELEC Internal Regulations which stipulate the conditions for giving this European St
8、andard 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 Central Secretariat or to any CEN member. This European Standard exists in three official versions (English, Frenc
9、h, 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 Central Secretariat has the same status as the official versions. CEN members are the national standards bodies of Austria, Belgium, Cyprus, Czech Republ
10、ic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Norway, Poland, Portugal, Slovakia, Slovenia, Spain, Sweden, Switzerland and United Kingdom. EUROPEAN COMMITTEE FOR STANDARDIZATION COMIT EUROPEN DE NORMALISAT
11、ION EUROPISCHES KOMITEE FR NORMUNG Management Centre: rue de Stassart, 36 B-1050 Brussels 2005 CENAll rights of exploitation in any form and by any means reserved worldwide for CEN national Members. Ref. No. EN ISO 19114:2005: E Incorporating corrigendum July 2006 Licensed Copy: London South Bank Un
12、iversity, London South Bank University, Tue Jan 23 07:42:51 GMT+00:00 2007, Uncontrolled Copy, (c) BSI EN ISO 19114:2005 (E) 2 Foreword The text of ISO 19114:2003 has been prepared by Technical Committee ISO/TC 211 “Geographic information/Geomatics” of the International Organization for Standardizat
13、ion (ISO) and has been taken over as EN ISO 19114:2005 by Technical Committee CEN/TC 287 “Geographic Information“, the secretariat of which is held by NEN. This European Standard shall be given the status of a national standard, either by publication of an identical text or by endorsement, at the la
14、test by July 2005, and conflicting national standards shall be withdrawn at the latest by July 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, Cyprus, Czech Repub
15、lic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Norway, Poland, Portugal, Slovakia, Slovenia, Spain, Sweden, Switzerland and United Kingdom. Endorsement notice The text of ISO 19114:2003 has been approved b
16、y CEN as EN ISO 19114:2005 without any modifications. EN ISO 19114:2005 Licensed Copy: London South Bank University, London South Bank University, Tue Jan 23 07:42:51 GMT+00:00 2007, Uncontrolled Copy, (c) BSI i Contents Page Foreword. iii Introduction . iv 1 Scope1 2 Conformance.1 3 Normative refer
17、ences .1 4 Terms and definitions.1 5 Abbreviated terms.2 6 Process for evaluating data quality 3 6.1 General.3 6.2 Components of the process.3 7 Data quality evaluation methods.4 7.1 Classification of data quality evaluation methods 4 7.2 Direct evaluation methods.5 7.3 Indirect evaluation method 6
18、7.4 Data quality evaluation examples .7 8 Reporting data quality evaluation information 7 8.1 Reporting as metadata .7 8.2 Reporting in a quality evaluation report.7 8.3 Reporting aggregated data quality result.7 Annex A (normative) Abstract test suites8 A.1 Introduction .8 A.2 Quality evaluation pr
19、ocedures 8 A.3 Evaluating data quality.8 A.4 Reporting data quality8 Annex B (informative) Uses of quality evaluation procedures9 B.1 Introduction .9 B.2 Development of a product specification or user requirements .9 B.3 Quality control during dataset creation9 B.4 Inspection for conformance to a pr
20、oduct specification9 B.5 Evaluation of dataset conformance to user requirements.9 B.6 Quality control during dataset update9 Annex C (informative) Applying quality evaluation procedures to dynamic datasets10 C.1 Introduction .10 C.2 Determining and reporting the quality of a dynamic dataset.10 C.3 E
21、stablishing continuous quality evaluation procedures10 C.4 Periodically re-establish the reference quality of the dataset11 Annex D (informative) Examples of data quality measures .12 D.1 Introduction .12 D.2 Relationship of the data quality components12 D.3 Examples of data quality completeness mea
22、sures.14 D.4 Examples of data quality logical consistency measures15 D.5 Examples of data quality positional accuracy measures .19 D.6 Examples of data quality temporal accuracy measures.23 D.7 Examples of data quality thematic accuracy measures .26 Annex E (informative) Guidelines for sampling meth
23、ods applied to geographic datasets30 EN ISO 19114:2005 Licensed Copy: London South Bank University, London South Bank University, Tue Jan 23 07:42:51 GMT+00:00 2007, Uncontrolled Copy, (c) BSI ii E.1 Introduction30 E.2 Lot and item.30 E.3 Sample size30 E.4 Sampling strategies 31 E.5 Probability-base
24、d sampling .34 Annex F (informative) Example of testing for thematic accuracy and completeness.36 F.1 Introduction36 F.2 Quality evaluation process.36 F.3 Method for data quality evaluation36 F.4 Inspection for quality37 F.5 Determination of data quality results and conformance.38 F.6 Reporting qual
25、ity results39 Annex G (informative) Example of measurement and reporting of completeness and thematic accuracy.42 G.1 Introduction42 G.2 Dataset description.42 G.3 Evaluation of data quality.47 G.4 Reporting quality results50 Annex H (informative) Example of an aggregated data quality result.53 H.1
26、Introduction53 H.2 Dataset description.53 H.3 Universe of discourse.54 H.4 Dataset55 H.5 Aggregation of evaluation results and reporting.55 Annex I (normative) Reporting quality information in a quality evaluation report 57 I.1 Introduction57 I.2 Quality evaluation report components57 Annex J (infor
27、mative) Aggregation of data quality results.61 J.1 Introduction61 J.2 100 % pass/fail.61 J.3 Weighted pass/fail.61 J.4 Subset of results sufficient for product purpose.62 J.5 Maximum/minimum value.62 Bibliography63 3002:41191 OSI SBEN ISO 19114:2005 Licensed Copy: London South Bank University, Londo
28、n South Bank University, Tue Jan 23 07:42:51 GMT+00:00 2007, Uncontrolled Copy, (c) BSI 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
29、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
30、collaborates closely with the International Electrotechnical Commission (IEC) on all matters of electrotechnical standardization. International Standards are drafted in accordance with the rules given in the ISO/IEC Directives, Part 2. The main task of technical committees is to prepare Internationa
31、l Standards. Draft International Standards adopted by the technical committees are circulated to the member bodies for voting. Publication as an International Standard requires approval by at least 75 % of the member bodies casting a vote. Attention is drawn to the possibility that some of the eleme
32、nts of this document may be the subject of patent rights. ISO shall not be held responsible for identifying any or all such patent rights. ISO 19114 was prepared by Technical Committee ISO/TC 211, Geographic information/Geomatics. 3002:41191 OSI SBEN ISO 19114:2005 Licensed Copy: London South Bank U
33、niversity, London South Bank University, Tue Jan 23 07:42:51 GMT+00:00 2007, Uncontrolled Copy, (c) BSI iv Introduction For the purpose of evaluating the quality of a dataset, clearly defined procedures must be used in a consistent manner. This enables data producers to express how well their produc
34、t meets the criteria set forth in its product specification and enables data users to establish the extent to which a dataset meets their requirements. The quality of a dataset is described using two components: a quantitative component and a non-quantitative component. The objective of this Interna
35、tional Standard is to provide guidelines for evaluation procedures of quantitative quality information for geographic data in accordance with the quality principles described in ISO 19113. It also offers guidance on reporting quality information. This International Standard recognizes that a data pr
36、oducer and a data user may view data quality from different perspectives. Conformance quality levels can be set using the data producers product specification or a data users data quality requirements. If the data user requires more data quality information than that provided by the data producer, t
37、he data user may follow the data producers 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 quality evaluation procedures described in t
38、his International Standard, when applied in accordance with ISO 19113, provide a consistent and standard manner to determine and report the quality information in a dataset. EN ISO 19114:2005 Licensed Copy: London South Bank University, London South Bank University, Tue Jan 23 07:42:51 GMT+00:00 200
39、7, Uncontrolled Copy, (c) BSI INTENRATIONAL TSANDADR IS:41191 O3002(E) Geographic information Quality evaluation procedures 1 Scope This International Standard provides a framework of procedures for determining and evaluating quality that is applicable to digital geographic datasets, consistent with
40、 the data quality principles defined in ISO 19113. It also establishes a framework for evaluating and reporting data quality results, either as part of data quality metadata only, or also as a quality evaluation report. This International Standard is applicable to data producers when providing quali
41、ty information on how well a dataset conforms to the product specification, and to data users attempting to determine whether or not the dataset contains data of sufficient quality to be fit for use in their particular applications. Although this International Standard is applicable to all types of
42、digital geographic data, its principles can be extended to many other forms of geographic data such as maps, charts and textual documents. 2 Conformance This International Standard defines three classes of conformance: one for quality evaluation procedures, one for evaluating data quality, and one f
43、or reporting quality information. The abstract test suites for the three classes of conformance are given in Annex A. 3 Normative references The following referenced documents are indispensable for the application of this document. For dated references, only the edition cited applies. For undated re
44、ferences, the latest edition of the referenced document (including any amendments) applies. ISO 19113:2002, Geographic information Quality principles ISO 19115:2003, Geographic information Metadata 4 Terms and definitions For the purposes of this document, the terms and definitions given in ISO 1911
45、3 and ISO 19115 (some of which are repeated for convenience) and the following apply. 4.1 conformance quality level threshold value or set of threshold values for data quality results used to determine how well a dataset meets the criteria set forth in its product specification or user requirements
46、4.2 dataset identifiable collection of data ISO 19115 3002:41191 OSI SB 1 EN ISO 19114:2005 Licensed Copy: London South Bank University, London South Bank University, Tue Jan 23 07:42:51 GMT+00:00 2007, Uncontrolled Copy, (c) BSI ISO 19114:2003(E) 2 I SO 3002 All irhgts seredevr NOTE A dataset may b
47、e a smaller grouping of data which, though limited by some constraint such as spatial extent or feature type, is located physically within a larger dataset. For purposes of data quality evaluation, a dataset may be as small as a single feature or feature attribute contained within a larger dataset.
48、4.3 dataset series collection of datasets sharing the same product specification ISO 19115 4.4 direct evaluation method method of evaluating the quality of a dataset based on inspection of the items within the dataset 4.5 full inspection inspection of every item in a dataset NOTE Full inspection is
49、also known as 100 % inspection. 4.6 indirect evaluation method method of evaluating the quality of a dataset based on external knowledge NOTE Examples of external knowledge are dataset lineage, such as production method or source data. 4.7 item that which can be individually described or considered ISO 2859-1 NOTE An item can be any part of a dataset, such as a feature, feature relationship, feature attribute, or combination of these. 4.8 population totality of items under consideratio