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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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| − | The quality of all datasets in the '''oedb''' is analysed and rated by defined criterias.
| + | = = |
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| − | The first part of the quality criterias is connected to the '''Database Rules''', <br/>the second part is based on '''geometry correctness''' and <br/>a third part is based on '''user evaluation'''. | + | The quality of all datasets in the '''oedb''' is analysed and rated by defined criterias:<br/> |
| | + | |
| | + | The first part of the quality criterias is connected to the '''Database Rules''',<br/>the second part is based on '''geometry correctness''' and<br/>a third part is based on '''user evaluation'''. |
Revision as of 07:46, 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
The quality of all datasets in the oedb is analysed and rated by defined criterias:
The first part of the quality criterias is connected to the Database Rules,
the second part is based on geometry correctness and
a third part is based on user evaluation.
