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Statistical disclosure control 2024

 Statistical disclosure control 
Course LeadersEric Schulte Nordholt and Peter-Paul de Wolf
Target GroupStaff dealing with statistical confidentiality
Entry Qualifications
  • Sound command of English. Participants should be able to make short interventions and to actively participate in discussions
Objective(s)
  • 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. Participants will be asked to bring case studies that will be discussed in the training.
Contents
  • 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
Expected OutcomeBetter understanding of the theory, methods and software used in statistical disclosure for tabular data and microdata protection.
Training Methods
  • The course programme is a mix of theory and practice with an emphasis on the practical use of the tools. The following training methods will be used:
  • Presentations and lectures
  • Demonstration of the recommended software tools
  • Hands-on software session allowing participants going through the whole census protection process
  • Exchange of views/experiences on national practices
Required ReadingNone
Suggested Reading

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

Required PreparationParticipants 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.
Trainer(s)/

Lecturer(s)

Eric Schulte Nordholt (Statistics Netherlands)

Peter-Paul de Wolf (Statistics Netherlands)

Annu Cabrera (Statistics Finland)

 

 

Practical Information    
WhenDurationWhereOrganiserAPPLICATION VIA National Contact Point
16–19.04.20243,5 daysThe Hague, Netherlands

ICON INSTITUTE

Public Sector GmbH

Deadline: 19.02.2024