数据下载包的自动去标识化
Automatic de-identification of Data Download Packages
摘要：
《通用数据保护条例》（GDPR）授予所有自然人访问其个人数据的权利，前提是这些数据由数据控制者处理。数据控制者有义务以电子格式共享数据，并且通常以所谓的数据下载包（DDP）提供数据。这些DDP包含了公共和私人实体在公民数字生活过程中收集的所有数据，为社会科学家提供了宝贵的财富。然而，数据可以是非常私密的。为了保护研究参与者在使用DDP进行科学研究时的隐私，我们开发了去识别软件，该软件能够处理DDP的典型特征，例如定期更改的文件结构，视觉和文本内容，不同的文件格式，不同的文件结构和用户名。我们调查的软件的性能，并说明如何软件可以针对特定的DDP结构。
英文摘要：
The General Data Protection Regulation (GDPR) grants all natural persons the right of access to their personal data if this is being processed by data controllers. The data controllers are obliged to share the data in an electronic format and often provide the data in a so called Data Download Package (DDP). These DDPs contain all data collected by public and private entities during the course of citizens' digital life and form a treasure trove for social scientists. However, the data can be deeply private. To protect the privacy of research participants while using their DDPs for scientific research, we developed de-identification software that is able to handle typical characteristics of DDPs such as regularly changing file structures, visual and textual content, different file formats, different file structures and accounting for usernames. We investigate the performance of the software and illustrate how the software can be tailored towards specific DDP structures.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
