Authors:
Hugo Bringel
1
;
Artur Caetano
2
and
José Tribolet
2
Affiliations:
1
CEO - Organizational Engineering Center, INOV, INESC Inovação, Portugal
;
2
CEO - Organizational Engineering Center, INOV, INESC Inovação; Instituto Superior Técnico, Technical University of Lisbon, Portugal
Keyword(s):
Data Quality, Business Process Modeling, Object-Oriented Modeling, UML
Related
Ontology
Subjects/Areas/Topics:
Enterprise Information Systems
;
Information Systems Analysis and Specification
;
Modeling Formalisms, Languages and Notations
Abstract:
Data is handled everyday by information systems and its inherent quality is a fundamental aspect to operational and support business activities. However, inappropriate data quality may lead to economic and social problems within the organizational context. This paper addresses how to syntactically and semantically ensure data quality at information entity level. To do so, we define a business process-modeling pattern for describing the features required to ensure and validate business object data using a conceptual data quality attribute model. This pattern makes use of object-oriented concepts such as inheritance and traceability and is described as an extension to the Unified Modeling Language. A case study is presented to exemplify the proposed concepts.