Evaluating and Aggregating Data Believability across Quality Sub-Dimensions and Data Lineage
Data quality is crucial for operational efficiency and sound decision making. This paper focuses on believability, a major aspect of data quality. The issue of believability is particularly relevant in the context of Web 2.0, where mashups facilitate the combination of data from different sources. O...
| Main Authors: | , |
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| Format: | Working Paper |
| Language: | en_US |
| Published: |
Massachusetts Institute of Technology. Engineering Systems Division
2016
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| Online Access: | http://hdl.handle.net/1721.1/102858 |
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Evaluating and Aggregating Data Believability across Quality Sub-Dimensions and Data Lineage
Published 2008
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Working Paper