A Generic Data Quality Framework Applied to the Product Data for Naval Vessels

The data quality framework presented here is a set of tools and methods providing services for the data quality assessment along the presented data quality dimensions. Thin adapters connect the framework to the underlying data sources such as Part 21 [21], xml or relational databases. In the other end, domain specific business rules defined by UML/OCL, Schematron or java/C# extends the framework. Client applications can provide rich graphics to visualize views on the data quality dimensions such as completeness, validation and overlap. If present, 3D models and external reference data libraries can be linked to the data to verify part locations and general lexical meaning of attributes. The semiotic information quality framework suggested by Price and Shanks in [15] is used to categorize some of the data quality dimensions described here. .