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The data quality assurance and control processes within the boundaries of the EEA’s and Eionet’s responsibility (data flows managed by EEA) are following the concepts and procedures recognized by the International Organization for Standardization (ISO) and the Open Geospatial Consortium (OGC). The Directive 2007/2/EC establishing an Infrastructure for Spatial Information in the European Community (INSPIRE) use the standard ISO 19157 Geographic Information-Data quality to define the spatial data quality requirements. In the INSPIRE context, data quality covers data quality elements and sub-elements, measure (e.g. error count, correct items count), a priori data quality requirements (e.g. code list, enumeration), quality evaluation, conformity with an acceptable quality level (e.g. absolute positional accuracy – target result min. 1m), and reporting quality information as metadata (e.g. lineage, spatial resolution). This paper aims to present the main aspects of the quality assurance framework at the EEA and the links to the INSPIRE data quality principles.
Topic Area: [2.4] Technical standards: Challenges and approaches to the standardization of spatial data and services Abstract Type: Oral Presentation and paper in IJSDIR
Comments: data quality, error, consistency, accuracy, standards, ISO
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