Access to individual-level health data is going to be critical for managing the COVID-19 pandemic and enabling society to return to some form of (new) normal functioning. Broader data access is already starting to happen. At the same time, there has been growing alarm by the privacy community about the extent and manner of the level of data sharing that is going on with such sensitive information. In South Korea, broad data sharing has already resulted in some patients being reidentified and experiencing judgment and ridicule,1,2 and some governments have begun to reduce the amount of information being shared about COVID-19 cases.3-8 Data synthesis can provide a solution by enabling access to useful information while ensuring reasonable privacy protections.

中文翻译：

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评估合成数据效用的七种方法

访问个人层面的健康数据对于管理 COVID-19 大流行和使社会恢复某种形式的（新的）正常运作至关重要。更广泛的数据访问已经开始发生。与此同时，隐私社区对此类敏感信息的数据共享程度和方式越来越感到担忧。在韩国，广泛的数据共享已经导致一些患者被重新识别并遭受评判和嘲笑，1,2 并且一些政府已开始减少共享关于 COVID-19 病例的信息量。3-8 数据合成可以提供通过允许访问有用信息同时确保合理的隐私保护的解决方案。