"Will Protect Personal Data Behind New Algorithms"

Ume University's Xuan-Son Vu, a postdoctoral fellow in computing science, is involved in a new research collaboration that will help researchers comply with the EU's General Data Protection Regulation (GDPR). According to Xuan-Son Vu, new methods will be developed to automatically mask sensitive information and separate it from the data researchers require. Researchers worldwide must be able to share research information with one another to gain new knowledge and remain at the forefront. However, there is a risk that people mentioned in words in various masses of text can be identified. According to Xuan-Son Vu, there could be information about a person's name, where they live, or their political beliefs. The new research project "Grandma Karl is 27: Automatic pseudonymization of research data" aims to address difficult and important challenges in pseudonymization. The goal is to develop linguistic algorithms that detect personal data and sensitive information in large amounts of text and automatically replace the words with appropriate pseudonyms. As a result, personal data can be protected in this way, and all texts can be used in various types of research. This article continues to discuss the project aimed at automatically masking personal and sensitive information and separating it from the data required by researchers. 

UMU reports "Will Protect Personal Data Behind New Algorithms"