Key Points

• This article aims to discuss transparency and privacy on COVID-19 public data. The Brazilian context was chosen as a case study to understand how to implement transparent COVID-19 government databases while respecting data protection.
• The article intends to answer the question: which technical approach could be implemented to publish transparent data on COVID-19 infections while respecting the privacy of individuals?
• Privacy by Design is brought as a key concept to harmonization between these topics. It is possible to conclude that while transparency databases are essential when facing a pandemic outbreak, they must respect the rights to privacy and data protection.
• We present anonymization as a set of four strategies which aims to provide unlinkability to a given dataset: (i) to minimize, (ii) to separate, (iii) to abstract, and (iv) to obfuscate.
• While anonymization is a technical solution that may help to bring balance between open data transparency and privacy, it needs to be complemented by organizational measures, such as access control, privacy policies, and data protection impact assessments.

中文翻译：

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在COVID-19大流行中开放数据：匿名化作为透明，隐私和数据保护的技术解决方案

关键点

• 本文旨在讨论COVID-19公共数据的透明性和隐私性。选择巴西语作为案例研究，以了解如何在尊重数据保护的同时实现透明的COVID-19政府数据库。
• 本文旨在回答这个问题：在尊重个人隐私的同时，可以采用哪种技术方法来发布有关COVID-19感染的透明数据？
• 设计带来的隐私是在这些主题之间进行协调的关键概念。可以得出这样的结论：尽管透明度数据库在面对大流行爆发时是必不可少的，但它们必须尊重隐私权和数据保护权。
• 我们将匿名化作为四种策略的集合，旨在提供与给定数据集的不可链接性：（i）最小化，（ii）分离，（iii）抽象和（iv）模糊化。
• 匿名化是一种技术解决方案，可以帮助在开放数据透明性和隐私之间取得平衡，但它需要组织措施（例如访问控制，隐私策略和数据保护影响评估）的补充。