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| | |Sources=https://en.wikipedia.org/wiki/Data_quality; http://iaidq.org/main/glossary.shtml#I | | |Sources=https://en.wikipedia.org/wiki/Data_quality; http://iaidq.org/main/glossary.shtml#I |
| | }} | | }} |
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| | = Data Quality in the oedb = | | = Data Quality in the oedb = |
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| | The quality of all datasets in the '''oedb''' is analysed and rated by defined criteria:<br/> | | The quality of all datasets in the '''oedb''' is analysed and rated by defined criteria:<br/> |
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| − | #Quality criteria in the '''database rules''', | + | #Data integrity in the '''database rules''', |
| | #Based on '''geometry correctness''' and | | #Based on '''geometry correctness''' and |
| | #Based on '''user evaluation'''. | | #Based on '''user evaluation'''. |
Revision as of 13:31, 26 May 2016
Definition
1. Data quality refers to the level of quality of data.
2. The fitness for use of information; information that meets the requirements of its authors, users, and administrators. (Martin Eppler)
Abbreviation
Synonyms
Information Quality
Superterms
Data
Subterms
Sources
https://en.wikipedia.org/wiki/Data_quality; http://iaidq.org/main/glossary.shtml#I
Data Quality in the oedb
The quality of all datasets in the oedb is analysed and rated by defined criteria:
- Data integrity in the database rules,
- Based on geometry correctness and
- Based on user evaluation.
