6.4.12 Data quality
From Geostandards
6 INSPIRE
6.1 Background and Motivation
- 6.1.1 Spatial Data Infrastructures
- 6.1.2 Requirements for a European SDI
- 6.1.3 Existing foundation for a European SDI
- 6.2.1 Background and history
- 6.2.2 The five components of the Directive
- 6.2.3 Implementation, status and schedule
- 6.2.4 Groups and responsibilities within INSPIRE
- 6.2.5 INSPIRE Implementing Rules and INSPIRE Guidance Documents
- 6.2.6 European and Global initiatives in the context of INSPIRE
6.3 Technical Architecture Overview
- 6.3.1 Relationship between the different components, in particular spatial data, metadata, registers, and network services
- 6.3.2 Terminology
6.4 Interoperabilty of spatial data sets / INSPIRE data specifications
- 6.4.1 Requirements of the INSPIRE Directive
- 6.4.2 Interoperability of spatial data
- 6.4.3 INSPIRE data scope
- 6.4.4 Modelling Framework
- 6.4.5 Generic Conceptual Model
- 6.4.6 ISO 19100 series of International Standards
- 6.4.7 Rules for application schemas and feature catalogues
- 6.4.8 Identifier Management
- 6.4.9 Object referencing modelling
- 6.4.10 Coordinate referencing
- 6.4.11 Multi-lingual text and cultural adaptability
- 6.4.12 Data quality
- 6.4.13 Metadata for evaluation and use
- 6.4.14 Multiple representations
- 6.4.15 Consistency between data
- 6.4.16 Portrayal model
- 6.4.17 Conformance
- 6.4.18 Generic Network Model
- 6.4.19 Gazetteers
- 6.4.20 Encoding and data formats
- 6.4.21 INSPIRE registers
- 6.4.22 Annex I data specifications
- 6.4.23 Outlook to Annex II/III data specifications
- 6.4.24 Extensions by countries or communities
The INSPIRE data specifications specify all data quality elements and sub-elements that are to be provided with the data set metadata in accordance with ISO 19113 and the implementing rule on Metadata. This includes a statement on applicable data quality measures as defined in ISO/TS 19138, but excludes the description of test methods and test procedures.
For example the cadastral parcels specification specifies two data quality sub-elements, both per spatial object type:
- Completeness - Omission (number of missing items in the dataset in relation to the number of items that should have been present)
- Positional accuracy - Absolute or external accuracy
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