Paper Info
Title
Investigation of application specific metrics to data quality assessment
Abstract
Databases have risen to be one of the most important corporate assets, but usually their data quality is poor or even not manageable at all. Several metrics of data quality have been designed and implemented to monitor a database of an information system. The primary goal of data quality metrics design was to provide the managers of information centres the tools for monitoring of their databases and for alerting that the amount of errors crossed a given threshold value and it is necessary to undertake activities aimed at data cleansing. The metrics should also be useful for the software producers to enable them to improve their applications. The proposed metrics have been evaluated using databases of several cadastral information systems. The investigation of data quality changes during the period of last three years is presented in the paper. Several metrics applying to domain and referential defects have been used. The study has revealed that simple metrics based on the number of defects detected in a database are not sufficient. The metrics calculating the cost of defect removal have been proposed and evaluated. The experiments covered also metrics specific for cadastral data.
Year
DOI
Venue
2007
10.1007/978-3-540-72035-5_34
BIS
Keywords
Field
DocType
important corporate asset,data quality change,cadastral data,data quality assessment,application specific metrics,cadastral information system,information system,simple metrics,data quality,data quality metrics design,proposed metrics,defect removal
Information system,Data cleansing,Application specific,Data quality,Cadastre,Computer science,Fuzzy expert system,Knowledge management,Software,Database
Conference
Volume
ISSN
Citations 
4439
0302-9743
1
PageRank 
References 
Authors
0.39
5
4
Name
Order
Citations
PageRank
Dariusz Król121034.50
Tadeusz Lasota234825.33
Maciej Siarkowski310.39
Bogdan Trawiński428824.72