A grounding-based ontology of data quality measures
Data quality and fitness for purpose can be assessed by data quality measures. Existing ontologies of data quality dimensions reflect, among others, which aspects of data quality are assessed and the mechanisms that lead to poor data quality. An understanding of which source of information is used...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Maine
2018-06-01
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| Series: | Journal of Spatial Information Science |
| Subjects: | |
| Online Access: | http://josis.org/index.php/josis/article/view/360 |