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Apply disclosure control
This sub-process ensures that the data (and metadata) to be disseminated do not breach the appropriate rules on confidentiality. This may include checks for primary and secondary disclosure, as well as the application of data suppression or perturbation techniques.
Related Resources
Documents
sdcApp Reference Manual
Author(s) | Thijs Benschop, Matthew Welch |
Description | This is documentation and guidance for using sdcApp, a graphic user interface for the sdcMicro R package. sdcMicro provides tools for Statistical Disclosure Control (SDC) for microdata, also known as microdata anonymization. For an overview of the theory of SDC for microdata we suggest reading: Statistical Disclosure Control for Microdata: A Theory Guide. |
Date | 2019-11-12 |
URL |
Statistical Disclosure Control for Microdata: Theory
Author(s) | Thijs Benschop and Matthew Welch |
Description | This guide provides and introduction to the theory of Statistical Disclosure Control (SDC) for microdata. It includes an overview of the most commonly applied methods in SDC, a step-by-step overview of the complete SDC process and many examples from practice in National Statistics Offices (NSOs). For guidance on the technical implementation of the theory mentioned in the guide, please refer to our guides: - Statistical Disclosure Control for Microdata: A Practice Guide for guidance on the application of methods and on using sdcMicro from the command-line |
Date | 11/12/2019 |
URL |