Balanced binary trees for ID management and load balance in distributed hash tables
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The Anatomy of the Grid: Enabling Scalable Virtual Organizations
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Privacy and Contextual Integrity: Framework and Applications
SP '06 Proceedings of the 2006 IEEE Symposium on Security and Privacy
Data and Metadata Reporting and Presentation Handbook 2007
Data and Metadata Reporting and Presentation Handbook 2007
Towards the evaluation of time series protection methods
Information Sciences: an International Journal
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Editorial: Recent progress in database privacy
Data & Knowledge Engineering
Privacy and anonymization for very large datasets
Proceedings of the 18th ACM conference on Information and knowledge management
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Proceedings of the 2009 EDBT/ICDT Workshops
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Heuristic supervised approach for record linkage
MDAI'12 Proceedings of the 9th international conference on Modeling Decisions for Artificial Intelligence
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The vast amount of data now collected on human beings and organizations as a result of cyberinfrastructure advances has created similarly vast opportunities for social scientists to study and understand human behavior. It has also made traditional ways of protecting social science data obsolete. The challenge to social scientists is to exploit advances in cyberinfrastructure to develop new access modalities that not only provide access but preserve data and create scientific communities. This paper outlines an approach that draws on both advances in the social science and the computer science literatures.