Database Security-Concepts, Approaches, and Challenges
IEEE Transactions on Dependable and Secure Computing
Enforcing privacy in interoperable e-government applications
dg.o '02 Proceedings of the 2002 annual national conference on Digital government research
Fundamentals of Database Systems (5th Edition)
Fundamentals of Database Systems (5th Edition)
Towards secure and trusted collaboration environment for European public sector
COLCOM '07 Proceedings of the 2007 International Conference on Collaborative Computing: Networking, Applications and Worksharing
Towards privacy preserving data reconciliation for criminal justice chains
Proceedings of the 10th Annual International Conference on Digital Government Research: Social Networks: Making Connections between Citizens, Data and Government
Crime statistics online: potentials and challenges
Proceedings of the 11th Annual International Digital Government Research Conference on Public Administration Online: Challenges and Opportunities
Public safety mashups to support policy makers
EGOVIS'10 Proceedings of the First international conference on Electronic government and the information systems perspective
Exploring information security issues in public sector inter-organizational collaboration
EGOV'11 Proceedings of the 10th IFIP WG 8.5 international conference on Electronic government
EISIC '11 Proceedings of the 2011 European Intelligence and Security Informatics Conference
Sharing confidential data for algorithm development by multiple imputation
Proceedings of the 25th International Conference on Scientific and Statistical Database Management
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For public organizations data integration and sharing are important in delivering better services. However, when sensitive data are integrated and shared, privacy protection and information security become key issues. This means that information systems must be secured and that access to sensitive data must be controlled. In this paper, a framework is presented to support data sharing between public organizations for collaboration purposes. The framework focuses on solutions towards optimal data sharing and integration while ensuring the security and privacy of individuals. Data sharing is based on the need-to-know principle, that is, data are only made available when they are required to perform core processes. To facilitate this, an approach is introduced in the form of a trusted third party that manages access control to personal information and thus helps to protect the privacy of individuals. It is argued that the proposed framework is suitable for data integration and sharing on various levels. An example of best practices of data sharing in the Netherlands shows how this framework facilitates data sharing to perform knowledge transfer and other higher-level tasks.