Accessibility of research data is critical for advances in many research
fields, but textual data often cannot be shared due to the personal and
sensitive information which it contains, e.g names or political opinions.
General Data Protection Regulation (GDPR) suggests pseudonymization as a
solution to secure open access to research data, but we need to learn more
about pseudonymization as an approach before adopting it for manipulation of
research data. This paper outlines a research agenda within pseudonymization,
namely need of studies into the effects of pseudonymization on unstructured
data in relation to e.g. readability and language assessment, as well as the
effectiveness of pseudonymization as a way of protecting writer identity, while
also exploring different ways of developing context-sensitive algorithms for
detection, labelling and replacement of personal information in unstructured
data. The recently granted project on pseudonymization Grandma Karl is 27 years
old addresses exactly those challenges.

本文概述了数据伪装领域的研究议程，即关于伪装处理对非结构化数据的影响，如可读性和语言评估等方面的研究需求，以及伪装作为保护作者身份的有效方式以及在非结构化数据中检测、标记和替换个人信息的不同上下文敏感算法的发展方法。刚获得的伪装项目 “Grandma Karl is 27 years old” 正好解决了这些挑战。