We are happy to announce the webinar Protection of Personal and Sensitive data: Technical aspects, which is organised within the CLARIN-CH
This talk introduces tools for anonymizing research data. The first part focuses on a tool for semi-automatically anonymizing qualitative textual data in a structured way. The second part explores an R-package designed for anonymizing structured quantitative data, offering functionalities through both code and an interactive graphical interface.
Many types of empirical linguistic data are particularly difficult to share with third parties, due to the personally identifying information that they often contain. How to respect data sharing requirements from funders and journals while at the same time comply with data protection laws?