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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 = |
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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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| | The first part of the quality criteria 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 first part of the quality criteria 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 09:10, 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:
The first part of the quality criteria is connected to the database rules,
the second part is based on geometry correctness and
a third part is based on user evaluation.
