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Policy Models for Data Sharing

机译:数据共享的策略模型

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摘要

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.
机译:数据共享已成为科学,执法和商业等领域各种重要活动的促成因素。数据共享方案经常涉及一些问题,例如个人机密性,数据误解,对共享数据进行恶意利用的潜能,具有专有或首次使用价值的数据,秘密数据以及政府法规。由于这些原因,陈述和执行数据共享策略的需求变得越来越重要。在本演讲中,我们讨论数据共享策略的模型及其关键概念。

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