sdcMicro: a new flexible R-package for the generation of anonymised microdata: Design issues and new methods

Data protection specialists need flexible software tools for the exploratory use of protection methods to generate high quality confidential data. Microdata protection is widely used and is often the only possible way to provide data to both researchers and users. In this paper we present a methodological and computational framework for the generation of anonymised microdata and give insights to the developed R-package sdcMicro. This package may become the standard software for microdata protection since it is very flexible, easy to use and contains all popular methods, plus some new ones. The package can also be used for comparison of methods and of original versus perturbed data not only by measuring information loss but also by various comparison plots.