NS EN ISO 19114 : 2005 AC 2006

Foreword
Introduction
1 Scope
2 Conformance
3 Normative references
4 Terms and definitions
5 Abbreviated terms
6 Process for evaluating data quality
  6.1 General
  6.2 Components of the process
7 Data quality evaluation methods
  7.1 Classification of data quality evaluation methods
  7.2 Direct evaluation methods
  7.3 Indirect evaluation method
  7.4 Data quality evaluation examples
8 Reporting data quality evaluation information
  8.1 Reporting as metadata
  8.2 Reporting in a quality evaluation report
  8.3 Reporting aggregated data quality result
Annex A (normative) Abstract test suites
  A.1 Introduction
  A.2 Quality evaluation procedures
  A.3 Evaluating data quality
  A.4 Reporting data quality
Annex B (informative) Uses of quality evaluation procedures
  B.1 Introduction
  B.2 Development of a product specification or user
      requirements
  B.3 Quality control during dataset creation
  B.4 Inspection for conformance to a product specification
  B.5 Evaluation of dataset conformance to user requirements
  B.6 Quality control during dataset update
Annex C (informative) Applying quality evaluation procedures to
                      dynamic datasets
  C.1 Introduction
  C.2 Determining and reporting the quality of a dynamic
      dataset
  C.3 Establishing continuous quality evaluation procedures
  C.4 Periodically re-establish the reference quality of the
      dataset
Annex D (informative) Examples of data quality measures
  D.1 Introduction
  D.2 Relationship of the data quality components
  D.3 Examples of data quality completeness measures
  D.4 Examples of data quality logical consistency measures
  D.5 Examples of data quality positional accuracy measures
  D.6 Examples of data quality temporal accuracy measures
  D.7 Examples of data quality thematic accuracy measures
Annex E (informative) Guidelines for sampling methods applied to
                      geographic datasets
  E.1 Introduction
  E.2 Lot and item
  E.3 Sample size
  E.4 Sampling strategies
  E.5 Probability-based sampling
Annex F (informative) Example of testing for thematic accuracy
                      and completeness
  F.1 Introduction
  F.2 Quality evaluation process
  F.3 Method for data quality evaluation
  F.4 Inspection for quality
  F.5 Determination of data quality results and conformance
  F.6 Reporting quality results
Annex G (informative) Example of measurement and reporting of
                      completeness and thematic accuracy
  G.1 Introduction
  G.2 Dataset description
  G.3 Evaluation of data quality
  G.4 Reporting quality results
Annex H (informative) Example of an aggregated data quality
                      result
  H.1 Introduction
  H.2 Dataset description
  H.3 Universe of discourse
  H.4 Dataset
  H.5 Aggregation of evaluation results and reporting
Annex I (normative) Reporting quality information in a quality
                    evaluation report
  I.1 Introduction
  I.2 Quality evaluation report components
Annex J (informative) Aggregation of data quality results
  J.1 Introduction
  J.2 100% pass/fail
  J.3 Weighted pass/fail
  J.4 Subset of results sufficient for product purpose
  J.5 Maximum/minimum value
Bibliography

Presents a framework of procedures for determining and evaluating quality that is applicable to digital geographic datasets, consistent with the data quality principles defined in ISO 19113. It also shows a framework for evaluating and reporting data quality results, either as part of data quality metadata only, or also as a quality evaluation report.