Data-Purpose Algebra: Modeling Data Usage Policies

C. Hanson, Tim Berners-Lee, Lalana Kagal, G. Sussman, D. Weitzner
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引用次数: 42

Abstract

Data is often encumbered by restrictions on the ways in which it may be used. These restrictions on usage may be determined by statute, by contract, by custom, or by common decency, and they are used to control collection of data, diffusion of data, and the inferences that can be made over the data. In this paper, we present a data-purpose algebra that can be used to model these kinds of restrictions in various different domains. We demonstrate the utility of our approach by modeling part of the Privacy Act (5 USC xi552a)1, which states that data collected about US citizens can be used only for the purposes for which it was collected. We show (i) how this part of the Privacy act can be represented as a set of restrictions on data usage, (ii) how the authorized purposes of data flowing through different government agencies can be calculated, and (iii) how these purposes can be used to determine whether the Privacy Act is being enforced appropriately.
数据目的代数:数据使用策略建模
数据的使用方式经常受到限制。这些使用限制可能由法规、合同、习惯或公共礼仪决定,它们用于控制数据的收集、数据的传播以及可以对数据进行的推断。在本文中,我们提出了一个数据目的代数,可用于在各种不同领域中对这些类型的限制进行建模。我们通过对隐私法案(5 USC xi552a)1的部分内容进行建模来展示我们方法的实用性,该法案规定,收集的关于美国公民的数据只能用于收集数据的目的。我们将展示(i)如何将《隐私法》的这一部分表示为对数据使用的一系列限制,(ii)如何计算流经不同政府机构的数据的授权目的,以及(iii)如何使用这些目的来确定《隐私法》是否得到适当执行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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