Paper Info
Title
Evaluating Data Quality for Integration of Data Sources.
Abstract
Data can be looked upon as a type of model (on the instance level), as illustrated e. g., in the product models in CAD and PLM-systems. In this paper we use a specialization of a general framework for assessing quality of models to be able to evaluate the combined quality of data for the purpose of investigating potential challenges when doing data integration across different sources. A practical application of the framework from assessing the potential quality of different data sources to be used together in a collaborative work environment is used for illustrating the usefulness of the framework for this purpose. An assessment of specifically relevant knowledge sources (including the characteristics of the tools used for accessing the data) has been done. This has indicated opportunities, but also challenges when trying to integrate data from different data sources typically used by people in different roles in an organization.
Year
DOI
Venue
2013
10.1007/978-3-642-41641-5_4
Lecture Notes in Business Information Processing
Keywords
Field
DocType
Product modelling,data integration,data quality
Data science,Data integration,CAD,Work environment,Data quality,Systems engineering,Computer science,Product modelling
Conference
Volume
ISSN
Citations 
165
1865-1348
6
PageRank 
References 
Authors
0.54
13
1
Name
Order
Citations
PageRank
John Krogstie11234129.93