Output Checking in Research Data Centres | |
Course Leaders | Annu Cabrera |
Target Group | The course is intended for staff checking output that was created by external researchers or output from varying statistical analyses created by colleagues in statistical offices. |
Entry Qualifications |
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Objective(s) |
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Contents |
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Expected Outcome | Better understanding of theory and methods used when statistical output that has been created by researchers is checked for statistical confidentiality. |
Training Methods |
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Required Reading | None |
Suggested Reading | Guidelines for Output Checking 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 |
Required Preparation | Participants will be required to bring and present two examples of output for discussion in the training. These should be two outputs that they themselves or colleagues have checked in their Statistical Institute and found challenging or interesting or that illustrate a rule of output checking. |
Trainer(s)/ Lecturer(s) | Annu Cabrera (Statistics Finland) Eric Schulte Nordholt (Statistics Netherlands) Peter-Paul de Wolf (Statistics Netherlands) |
Practical Information | ||||
When | Duration | Where | Organiser | APPLICATION VIA National Contact Point |
09–10.10.2024 | 2 days | Helsinki, Finland | ICON INSTITUTE Public Sector GmbH | Deadline: 12.08.2024 |