Can we trust trust-based data governance models?

IF 1.8 Q3 PUBLIC ADMINISTRATION
Data & policy Pub Date : 2022-12-05 DOI:10.1017/dap.2022.36
B. van der Sloot, Esther Keymolen
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引用次数: 2

Abstract

Abstract Fiduciary agents and trust-based institutions are increasingly proposed and considered in legal, regulatory, and ethical discourse as an alternative or addition to a control-based model of data management. Instead of leaving it up to the citizen to decide what to do with her data and to ensure that her best interests are met, an independent person or organization will act on her behalf, potentially also taking into account the general interest. By ensuring that these interests are protected, the hope is that citizens’ willingness to share data will increase, thereby allowing for more data-driven projects. Thus, trust-based models are presented as a win–win scenario. It is clear, however, that there are also apparent dangers entailed with trust-based approaches. Especially one model, that of data trusts, may have far-reaching consequences.
我们能信任基于信任的数据治理模型吗?
受托代理人和基于信任的机构在法律、监管和伦理话语中越来越多地被提出和考虑,作为基于控制的数据管理模型的替代或补充。与其让公民自己决定如何处理自己的数据,并确保自己的最大利益得到满足,一个独立的个人或组织将代表公民行事,可能还会考虑到公众利益。通过确保这些利益得到保护,希望公民分享数据的意愿会增加,从而允许更多数据驱动的项目。因此,基于信任的模型呈现为一个双赢的场景。然而,很明显,基于信任的方法也有明显的危险。尤其是数据信任这一模式,可能会产生深远的影响。
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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来源期刊
CiteScore
3.10
自引率
0.00%
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审稿时长
12 weeks
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