• There are no items in your cart
We noticed you’re not on the correct regional site. Switch to our AMERICAS site for the best experience.
Dismiss alert

INCITS ISO 19114 : 2003(R2013)

Withdrawn

Withdrawn

A Withdrawn Standard is one, which is removed from sale, and its unique number can no longer be used. The Standard can be withdrawn and not replaced, or it can be withdrawn and replaced by a Standard with a different number.

GEOGRAPHIC INFORMATION - QUALITY EVALUATION PROCEDURES

Withdrawn date

23-07-2013

Published date

12-01-2013

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 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.

DocumentType
Standard
PublisherName
Information Technology Industry Council
Status
Withdrawn

Standards Relationship
ISO 19114:2003 Identical

ISO 3951-1:2013 Sampling procedures for inspection by variables — Part 1: Specification for single sampling plans indexed by acceptance quality limit (AQL) for lot-by-lot inspection for a single quality characteristic and a single AQL
ISO 19108:2002 Geographic information Temporal schema
ISO 3534-2:2006 Statistics Vocabulary and symbols Part 2: Applied statistics
ISO 19115:2003 Geographic information Metadata
ISO 8601:2004 Data elements and interchange formats Information interchange Representation of dates and times
ISO 9001:2015 Quality management systems — Requirements
ISO 19113:2002 Geographic information Quality principles

View more information
Sorry this product is not available in your region.

Access your standards online with a subscription

Features

  • Simple online access to standards, technical information and regulations.

  • Critical updates of standards and customisable alerts and notifications.

  • Multi-user online standards collection: secure, flexible and cost effective.