在某教育机构实施资料保护的个人资料类别引出:一项探索性研究

Deepti Balaji Raykar, V. Sridhar
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引用次数: 1

摘要

在当今的数据经济中,保护自然人的隐私变得非常重要。世界各国都在制定数据保护法规,以防止个人数据泄露。然而,数据保护的实现在很大程度上是特定于领域和上下文的。需要发现在实现域中要保护的数据类别。我们提出了一种以人为中心的方法来引出这些数据类别,这些数据类别会引起教育机构利益相关者的隐私问题。我们进行了一项研究,以了解持份者对需要保护的不同数据类别的隐私问题。我们对不同持份者进行调查和深入访谈,以深入了解需要纳入相关资讯系统设计的私隐和资料保障规定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Elicitation of Personal Data Categories for Implementing Data Protection: An Exploratory Study in an Educational Institution
Protecting the privacy of natural persons has become very important in today's data economy. Countries around the world are in the process of legislating data protection regulations to prevent breaches of personal data. However, the implementation of data protection is very much domain and context-specific. The data categories that are to be protected in the domain of implementation need to be discovered. We propose a human-centric approach for eliciting such data categories that cause privacy concerns to stakeholders in an educational institution. A study was conducted to understand the privacy concerns of the stakeholders, related to different data categories to be protected. A combination of surveys and in-depth interviews of the different stakeholders were used to gain insights into the privacy and data protection requirements that need to be incorporated into the associated information system design.
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