Authors:
Eugenio Verbo
1
;
Ismael Caballero
1
;
Eduardo Fernandez-Medina
2
and
Mario Piattini
2
Affiliations:
1
Indra Sistemas, UCLM- Indra Research and Development Institute, Spain
;
2
ALARCOS Research Group, Information Systems and Technology Departament, UCLM- Indra Research and Development Institute,, Spain
Keyword(s):
Data Quality, XML databases, design methodology, semi-structured data.
Related
Ontology
Subjects/Areas/Topics:
Business Analytics
;
Communication and Software Technologies and Architectures
;
Data Engineering
;
Data Management and Quality
;
Data Warehouses and Data Mining
;
e-Business
;
Enterprise Information Systems
;
Information Quality
Abstract:
As the use of XML as a technology for data exchange has widely spread, the need of a new technology to store semi-structured data in a more efficient way has been emphasized. Consequently, XML DBs have been created in order to store a great amount of XML documents. However, like in previous data models as the relational model, data quality has been frequently left aside. Since data plays a key role in organization efficiency management, its quality should be managed. With the intention of providing a base for data quality management, our proposal address the adaptation of a XML DB development methodology focused on data quality. To do that we have based on some key area processes of a Data Quality Maturity reference model for information management process definition.