attributes; basic data types; primitive types; complex types; predefined derived types; enumerated types; codelist relationships and associations; composition and aggregation; stereotypes and optional, conditional and mandatory attributes and associations; – naming and name spaces; notes; packages. Recommendation 2: Data Quality Measure Conceptual Consistency to follow the guidelines from S-100 Part 1 and to be included in the Product Specification Logical Consistency > Domain Consistency: this is described in S-100 Part 5 Feature – Catalogue. This Part provides a standard framework for organizing and reporting the classification of real phenomena in a set of geographic data. It defines the methodology for classification of the feature types and specifies how they are organized in a feature catalogue and presented to the users of a set of geographic data. This methodology is applicable to creating catalogues of feature types in previously uncatalogued domains and to revising existing feature catalogues to comply with standard practice. It applies to the cataloguing of feature types that are represented in digital form. Its principles can be extended to the cataloguing of other forms of geographic data. Recommendation 3: Data Quality Measure Domain Consistency to follow the guidelines from Part 5 and to be included in the Product Specification Logical Consistency > Format Consistency this is described in S-100 Part 10 Encoding – formats. S-100 does not mandate particular encoding formats so it is left to developers of product specifications to decide on suitable encoding standards and to document their chosen format. The issue of encoding information is complicated by the range of encoding standards that are available, which include but are not limited to: ISO/IEC8211, GML, XML, GeoTiff, HDF-5, JPEG2000. Recommendation 4: Data Quality Measure Format Consistency to follow the guidelines from Part 10 and to be included in the Product Specification Logical Consistency > Topological Consistency this is described in S-100 Part 7 Spatial – Schema. It supports 0, 1, 2 and 2.5 dimensional spatial schemas and two levels of complexity – geometric primitives and geometric complexes. Some figures of this part are copied here as a quick reference:
attributes; basic data types; primitive types; complex types; predefined derived types; enumerated types; codelist relationships and associations; composition and aggregation; stereotypes and optional, conditional and mandatory – attributes and associations; naming and name spaces; notes; packages. Recommendation 2: Data Quality Measure Conceptual Consistency to follow the guidelines from S-100 Part 1 and to be included in the Product Specification Logical Consistency > Domain Consistency: this is described in S-100 Part 5 – Feature Catalogue. This Part provides a standard framework for organizing and reporting the classification of real phenomena in a set of geographic data. It defines the methodology for classification of the feature types and specifies how they are organized in a feature catalogue and presented to the users of a set of geographic data. This methodology is applicable to creating catalogues of feature types in previously uncatalogued domains and to revising existing feature catalogues to comply with standard practice. It applies to the cataloguing of feature types that are represented in digital form. Its principles can be extended to the cataloguing of other forms of geographic data. Recommendation 3: Data Quality Measure Domain Consistency to follow the guidelines from Part 5 and to be included in the Product Specification Logical Consistency > Format Consistency this is described in S-100 Part 10 – Encoding formats. S-100 does not mandate particular encoding formats so it is left to developers of product specifications to decide on suitable encoding standards and to document their chosen format. The issue of encoding information is complicated by the range of encoding standards that are available, which include but are not limited to: ISO/IEC8211, GML, XML, GeoTiff, HDF-5, JPEG2000. Recommendation 4: Data Quality Measure Format Consistency to follow the guidelines from Part 10 and to be included in the Product Specification Logical Consistency > Topological Consistency this is described in S-100 Part 7 – Spatial Schema. It supports 0, 1, 2 and 2.5 dimensional spatial schemas and two levels of complexity – geometric primitives and geometric complexes. Some figures of this part are copied here as a quick reference:
Draft%20Data%20quality%20checklist%2020180509%20v0.3.docx