Authors:
Federico Piedrabuena
;
Laura González
and
Raúl Ruggia
Affiliation:
Universidad de la República, Uruguay
Keyword(s):
Master Data Management, e-Government, Data Protection, Information as a Service.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Cloud Computing
;
Collaboration and e-Services
;
Communication and Software Technologies and Architectures
;
Complex Systems Modeling and Simulation
;
Computer-Supported Education
;
Data Engineering
;
Databases and Information Systems Integration
;
e-Business
;
Energy and Economy
;
Enterprise Engineering
;
Enterprise Information Systems
;
Health Information Systems
;
Information Technologies Supporting Learning
;
Integration/Interoperability
;
Interoperability
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Middleware Integration
;
Middleware Platforms
;
Mobile and Pervasive Computing
;
Mobile Software and Services
;
Ontologies and the Semantic Web
;
Security and Privacy
;
Sensor Networks
;
Services Science
;
Simulation and Modeling
;
Software Agents and Internet Computing
;
Software and Architectures
;
Software Engineering
;
Software Engineering Methods and Techniques
;
Sustainable Computing and Communications
;
Symbolic Systems
;
Technology Platforms
;
Telecommunications
;
Web Services
;
Wireless Information Networks and Systems
Abstract:
The growing adoption of information technology by governments has led to the implementation of e-Government systems which are usually supported by middleware-based integration platforms. In particular, the increasing need of information sharing across government agencies has motivated the implementation of shared Master Data Management (MDM) Systems. On the other hand, these systems have to comply with Data Protection regulations which may hinder an extensive reuse of information in a government context. This paper addresses the issues of enforcing Data Protection (DP) regulations in e-Government MDM systems. In particular, it analyzes the requirements that DP issues pose on these systems and it proposes solutions, which leverage middleware-based capabilities and traditional MDM systems, to enforce these regulations considering different MDM architecture styles.