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Production and Industrial Facilities - INSPIRE - Europa

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<strong>INSPIRE</strong> Reference: D2.8.III.8_v2.0(.0)<br />

TWG-PF Data Specification on <strong>Production</strong> <strong>and</strong><br />

<strong>Industrial</strong> <strong>Facilities</strong><br />

7.1.3 Logical Consistency – Topological consistency<br />

7.1.5 Positional accuracy – Absolute or external accuracy<br />

7.1.6 Thematic accuracy –<br />

7.1.1 Completeness – Commission<br />

Commission should be documented using the rate of excess items.<br />

2011-06-15 Page LV<br />

Name Rate of excess items<br />

Alternative name –<br />

Data quality element Completeness<br />

Data quality sub-element Commission<br />

Data quality basic measure Error rate<br />

Definition Number of excess items in the dataset in relation to the number of<br />

items that should have been present.<br />

Description -<br />

Evaluation scope data set<br />

Reporting scope data set<br />

Parameter –<br />

Data quality value type Real, percentage, ratio (example: 0,0189 ; 98,11% ; 11:582)<br />

Data quality value structure –<br />

Source reference –<br />

Example Only entities directly related with <strong>Production</strong> <strong>and</strong> <strong>Industrial</strong> <strong>Facilities</strong><br />

as is described on the scope should be included on the Dataset.<br />

Other entities closely related could be included on the provided<br />

Datasets.<br />

Measure identifier 3 (ISO 19138)<br />

7.1.2 Completeness – Omission<br />

Omission should be documented using the rate of missing items.<br />

Name Rate of missing items<br />

Alternative name –<br />

Data quality element Completeness<br />

Data quality sub-element Omission<br />

Data quality basic measure Error rate<br />

Definition Number of missing items in the dataset in relation to the number of<br />

items that should have been present.<br />

Description -<br />

Evaluation scope data set<br />

Reporting scope data set<br />

Parameter –<br />

Data quality value type Real, percentage, ratio (example: 0,0189 ; 98,11% ; 11:582)<br />

Data quality value structure –<br />

Source reference –<br />

Example Potential data sources can be focus on a wider scope than the<br />

geographical one or the real geo-referenced entities are not tested.<br />

These elements should be avoided.

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