Statistical Disclosure Control (sdcMicro)
SDCMicro is free, R-based open-source package for the generation of protected microdata for researchers and public use. Data from statistical agencies and other institutions are mostly confidential. This package can be used for the generation of anonymized (micro)data, i.e. for the creation of public- and scientific-use files. In addition, various risk estimation methods are included. The assocoiated package sdcMicroGUI includes a graphical user interface for various methods in the sdcMicro package.
Matthias Templ (Department of Methodology, Statistics Austria and Department of Statistics and Probability Theory, Vienna University of Technology), Alexander Kowarik, Bernhard Meindl, Bernd Prantner
Matthias Templ (matthias.templ at gmail.com)
|R-based free, open-source package distributed under GPL 2.0 license||Graphical user interface available for users with no or limited knowledge of the R language|
|Multiple options for reducing disclosure risk and for assessing information loss||Multiple methods for assessing the re-identification risk (k-anonymity, individual, and global re-identification risk)|
sdcMicro requires a PC running MS-Windows XP, Windows Vista, Windows 7, Windows 8, Mac OS X or Unix/Linux.
The World Bank are currently working with the developers of sdcMicro to produce a user friendly Shiny application based on sdcMicro. This will lower the barriers to users who are not familiar with R, but who are familiar with SDC methods and who would like to use an open source and free application to apply the commonly used methods. The Shiny application is due for release in November 2016.
License: GPL 2.0
Development URL: https://github.com/alexkowa/sdcMicro
The software and its documentation can be downloaded from the following link: http://cran.r-project.org/web/packages/sdcMicro/index.html.