BS EN ISO 19157-1:2023
$215.11
Geographic information. Data quality – General requirements
Published By | Publication Date | Number of Pages |
BSI | 2023 | 114 |
This document establishes the principles for describing the quality of geographic data. It: — defines a well-considered system of components for describing data quality; — defines the process for defining additional, domain-specific components for describing data quality; — specifies components and the content structure of data quality measures; — describes general procedures for evaluating the quality of geographic data; — establishes principles for reporting data quality. This document 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 are of sufficient quality for their particular application. This document does not attempt to define minimum acceptable levels of quality for geographic data. Such information is usually present as a requirement in a data product specification, defined in accordance with ISO 19131, for example.
PDF Catalog
PDF Pages | PDF Title |
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2 | undefined |
4 | European foreword Endorsement notice |
7 | Foreword |
9 | Introduction |
11 | 1 Scope 2 Normative references 3 Terms and definitions |
15 | 4 Abbreviated terms and packages 4.1 Abbreviated terms 4.2 Abbreviated packages 5 Conformance 5.1 General |
16 | 5.2 Content of a data quality model 5.3 XML encoding of a data quality model 6 General requirements for geographic information quality 6.1 General 6.2 Data quality — general requirements, recommendations and permissions |
18 | 7 Overview of data quality |
19 | 8 Components of data quality 8.1 Overview of the components |
20 | 8.2 Data quality unit |
21 | 8.3 Data quality elements 8.3.1 General |
22 | 8.3.2 Completeness 8.3.3 Logical consistency |
23 | 8.3.4 Positional accuracy 8.3.5 Temporal quality 8.3.6 Thematic quality |
24 | 8.3.7 Metaquality elements 8.4 Extending the data quality information model |
25 | 8.5 Descriptors of data quality elements 8.5.1 General 8.5.2 Measure reference |
26 | 8.5.3 Evaluation method 8.5.4 Quality result |
29 | 8.5.5 Descriptors of a metaquality element 9 Data quality measures 9.1 General 9.2 Standardized data quality measures 9.2.1 General |
31 | 9.2.2 Measure identifier 9.2.3 Name 9.2.4 Alias 9.2.5 Element name 9.2.6 Basic measure 9.2.7 Definition 9.2.8 Description |
32 | 9.2.9 Parameter 9.2.10 Value type 9.2.11 Value structure 9.2.12 Source reference 9.2.13 Example 9.3 User-defined data quality measures |
33 | 10 Data quality evaluation 10.1 The process for evaluating data quality 10.1.1 Introduction 10.1.2 The process flow |
34 | 10.1.3 Process steps 10.2 Data quality evaluation methods 10.2.1 Classification of data quality evaluation methods |
35 | 10.2.2 Direct evaluation 10.2.3 Indirect evaluation |
36 | 10.3 Aggregation and derivation 11 Data quality reporting 11.1 General |
37 | 11.2 Particular cases 11.2.1 Reporting aggregation (aggregated results) |
38 | 11.2.2 Reporting derivation (derived results) 11.2.3 Reference to the original data quality result 11.2.4 Hierarchy principle |
39 | 12 Requirements for XML encoding |
40 | Annex A (normative) Abstract test suite |
41 | Annex B (informative) Data quality concepts and their use |
47 | Annex C (normative) Data dictionary for data quality |
63 | Annex D (informative) Evaluating and reporting data quality |
88 | Annex E (informative) Sampling methods for evaluating data quality |
96 | Annex F (informative) Guidelines for the use of quality elements |
105 | Annex G (informative) Aggregation of data quality results |
107 | Annex H (normative) XML Encoding description |
108 | Annex I (informative) Backward compatibility with ISO 19157:2013 |
111 | Bibliography |