Statistical Disclosure Control - Intermediate

Course Leaders

Eric Schulte Nordholt and Peter-Paul de Wolf

Staff dealing with statistical confidentiality.

Sound command of English. This course is intended for staff working with statistical confidentiality. Participants should have a basic understanding of official statistics and an interest in disclosure control methods for tabular data and microdata.

The objective of this course is to provide the participants with an overview of Statistical disclosure theory and methods related to tabular data protection and microdata protection, as well as the respective software.

• Main theoretical principles of SDC concerning tabular data and microdata protection and output checking.

• Methods of tabular data protection.

• Methods of microdata protection.

• Output checking issues.

• Software SDC tabular data and microdata protection.

• Practical case studies from MS.

Better understanding of the theory, methods and software used in statistical disclosure for tabular data and microdata protection.

• The course programme should be a mix of theoretical background and practical application provided through:

• Lectures and presentations.

• Manual exercises.

• Practical exercises using Tau Argus and Mu Argus software.

• Discussion of Case studies from Member States.

• Group discussions.

Required Reading 

None

Statistical Disclosure Control (2012) by A. Hundepool, J. Domingo-Ferrer, L. Franconi, S. Giessing, E. Schulte Nordholt, K. Spicer and P.P. de Wolf, Wiley Series in Survey Methodology, ISBN 978-1-1199-7815-2

Tau Argus manual;

Mu Argus manual;

Manuals and software libraries are available on:  https://github.com/sdcTools

Participants will be required to prepare a presentation of practical or methodological problems with micro data or tabular data protection or output checking (so called User cases from Member States) for discussion during the training.

Eric Schulte Nordholt (Statistics Netherlands)

Peter-Paul de Wolf (Statistics Netherlands)

Annu Cabrera (Statistics Finland)

Marieke de Vries (Statistics Netherlands)