隐私制度:数据保护与数据产权

Q2 Arts and Humanities
SATS Pub Date : 2021-07-01 DOI:10.1515/sats-2020-0004
H. Schneider
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引用次数: 0

摘要

摘要本文探讨了数据私有财产权的概念可能性,以及与之相关的制度。为此,它区分结构化数据(作为指示器)和数据点(嵌入在时间轴中的数据)。这里探讨的推理是:生成数据点的代理——数据的来源——对它们生成的数据点拥有私有财产的权利。然后,代理可以选择保留数据点或将其出售给数据用户、聚合器等。一旦这些数据用户自己呈现了数据的属性,他们就可以进一步推销这些数据。然而,这一观点也面临挑战。其一是管理数据私有财产的成本相对较高,而盗用数据和数据点的成本相对较低。另一个是网络效应:更准确地说,数据是在网络中创造或丰富的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Institutions of Privacy: Data Protection Versus Property Rights to Data
Abstract This paper investigates the conceptual possibility for, and the institutions relating to a positive right of private property to data. To do so, it distinguishes between structured data, as a designator, and datapoints, which are data embedded in the timeline. The reasoning being explored here is: the agents generating datapoints – he source of the data – have a right to private property to the datapoints they generate. The agents, then, can choose to retain the datapoints or to sell them to data-users, aggregators, etc. Once these data-users render property of data themselves, they can further market it. There are, however, challenges to this view. One is the relative high cost of managing private property to data versus the relative low cost of misappropriating data and datapoints. The other is network effects: more precisely, data created or enriched in networks.
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来源期刊
SATS
SATS Arts and Humanities-Philosophy
CiteScore
0.70
自引率
0.00%
发文量
17
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