Authors:
Eugenio Verbo
1
;
Ismael Caballero
1
and
Mario Piattini
2
Affiliations:
1
Soluziona Consultancy and Technology, UCLM-Soluziona Research and Development Institute, Spain
;
2
UCLM-Soluziona Research and Development Institute, Spain
Keyword(s):
Data Quality, Data Quality Dimensions, Data Quality measures, XML, quality attributes.
Related
Ontology
Subjects/Areas/Topics:
Coupling and Integrating Heterogeneous Data Sources
;
Databases and Information Systems Integration
;
Enterprise Information Systems
;
Object-Oriented Database Systems
;
Software Measurement
Abstract:
Traditionally, data quality management has mainly focused on both data source and data target. Increasingly, data processing to get a data product need raw data typically distributed among different data sources. However, if data quality is not preserved when transmitted, resulting data product and consequent information will not be of much value. It is necessary to improve exchange methods and means to get a better information process. This paper focus on that issue, proposing a new approach for assuring and transmitting data quality in the interchange. Using XML and related technologies, a document structure that considers data quality as a main topic is defined. The resulting schema is verified using several measures and comparing it to the data source.