Framework for a user-friendly statistical disclosure control tool
Publication of Creating 010
A. Rawat, M.S. Bargh, A. Amighi, M.F.W.H.A. Janssen | Conference contribution | Publication date: 21 November 2020
Public organisations are opening more and more data to increase their transparency. But more often than not, data cannot be opened without modification due to data protection issues. There are Statistical Disclosure Control (SDC) tools that can help to accomplish this. However, these tools are not intuitive for end-users, especially for those who are not deeply familiar with data science. The end-users are mostly public servants who want to open data. Therefore, the main objective of this paper is to develop a framework for a user-friendly tool based on data disclosure methods and usability guidelines for protecting microdata. The developed framework can be used to design and evaluate a tool that can be used by data controllers within the Dutch governmental institutions for anonymising data. This contributes to the sharing of more data with the public or between organisations with a minimised risk of disclosing the identity of the individuals the data is about.
Author(s) - affiliated with Rotterdam University of Applied Sciences