Title :
A Methodology for Information Quality Assessment in Data Warehousing
Author :
Su, Ying ; Jin, Zhanming
Author_Institution :
Resource Sharing & Promoting Center, Inst. of Sci. & Tech. Inf. of China, Beijing
Abstract :
This paper presents a methodology to determine two IQ characteristics-accuracy and comprehensiveness-that are of critical importance to data warehousing. This methodology can examine how the quality metrics of source information affect the quality for information outputs produced using the relational algebra operations selection, projection, and Cubic product. It can be used to determine how quality characteristics associated with diverse data sources affect the quality of the derived data. The study resulted in the development of a model of a data cube and an algebra to support IQ Assessment operations on this cube.
Keywords :
data integrity; data mining; data models; data warehouses; relational algebra; relational databases; OLAP; data cube model development; data warehousing; information quality assessment methodology; information quality metric; relational algebra; Algebra; Communications Society; Companies; Data warehouses; Databases; Information analysis; Information management; Quality assessment; Quality management; Warehousing;
Conference_Titel :
Communications, 2008. ICC '08. IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2075-9
Electronic_ISBN :
978-1-4244-2075-9
DOI :
10.1109/ICC.2008.1035
