Abstract
Data sharing has become an enabler of a diverse and important set of activities in areas such as science, law enforcement, and commerce. Data sharing scenarios frequently involve issues such as personal confidentiality, data misinterpretation, the potential for malicious exploitation of shared data, data with proprietary or first-use value, secret data, and governmental regulation. For these reasons, the need to state and enforce data sharing policy has grown increasingly significant. In this talk, we discuss models for data sharing policy and their key concepts.
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Smith, K., Jajodia, S., Swarup, V., Hoyt, J., Hamilton, G., Cornett, T., Faatz, D.: Enabling the sharing of neuroimaging data through well-defined intermediate levels of visibility. NeuroImage 22, 1646–1656 (2004)
Swarup, V., Seligman, L., Rosenthal, A.: Specifying Data Sharing Agreements. In: Proceedings of Policy 2006: IEEE Workshop on Policies for Distributed Systems and Networks, London, Ontario (June 2006)
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© 2006 Springer-Verlag Berlin Heidelberg
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Smith, K. (2006). Policy Models for Data Sharing. In: Embley, D.W., Olivé, A., Ram, S. (eds) Conceptual Modeling - ER 2006. ER 2006. Lecture Notes in Computer Science, vol 4215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11901181_47
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DOI: https://doi.org/10.1007/11901181_47
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-47224-7
Online ISBN: 978-3-540-47227-8
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