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Work session on statistical data confidentiality

Work session on statistical data confidentiality

05 - 07 October 2015
Helsinki Finland
  Document title Documents Presentations
  Tentative Timetable PDF  
  Information Notice 1 PDF  
  Information Notice 2 PDF  
  Report PDF  
       
  Latex template ZIP  
  Word template DOC  
 

 

   
 

Topic 1: Access to Statistical Data for Scientific Purposes

   
 

Access to EU microdata for research purposes
Eurostat 

PDF PDF
  Creating a National Remote Access System for Register-based Research
Finland
PDF PDF
  New Nordic model for researchers joint access to data from the Nordic Statistical Institution
Denmark
PDF PDF
  Circle of Trust for International Microdata Access
Germany
PDF PDF
  Virtual Research Environments (VREs) to enable access to confidential data for scientific purposes
Germany
PDF PDF
  Micro, remote, safe settings (safePODS) – extending a safe setting network across a country
University of Edinburgh
PDF PDF
  Access to Statistical Data for Scientific Purposes
Montenegro
PDF PDF
  Evidence-based, context-sensitive, user-centred, risk-managed SDC planning: designing data access solutions for scientific use
Saarland State University of Applied Sciences, University of Dortmund, University of the West of England & UK Data Service
PDF PDF
       
 

Topic 2: Identifying and measuring risk of statistical disclosure

   
  Microdata protection: A method that mixes subsampling and calibration
France
PDF PDF
  Microdata Masking as Permutation
Univ. Oklahoma & Univ. Rovira I Virgili
PDF PDF
  Assessing Disclosure Risk via Record Linkage
Universitat Rovira I Virgili
PDF PDF
  Transparency in microaggregation
Univ. Skövde
PDF PDF
  Disclosure Risk Measurement with Entropy in Two-Dimensional Sample Based Frequency Tables
Univ. Manchester
PDF PDF
  Running an analysis of combined data when the individual records cannot be combined
Univ. Edinburgh, Univ. Bristol & Glasgow Centre for Population Health
PDF PDF
       
 

Topic 3: Emerging Challenges to Data Confidentiality

   
  Confidentialized Analysis of Microdata - CSPA project
Canada & Australia 
  PDF
  Protection of frequency tables – current work at Statistics Sweden
Sweden
PDF PDF
  Development of rules from administrative data
Canada
  PDF
       
 

Topic 4: Practicum: Case Studies and Software

   
  Creating synthetic microdata from official statistics: Random number generation in consideration of Anscombe's quartet
Hitotsubashi Univ. & Chuo Univ. 
PDF PDF
  A Graphical User Interface to Manage Cell Suppression on Sets of Linked Tables Using SAS and t Argus
Germany
PDF PDF
  Public Use Files of EU-SILC and EU-LFS data
Netherlands
PDF PDF
  Statistical data confidentiality and microdata in Albania
Albania
PDF PDF
  The application for statistical processing at SURS
Slovenia
PDF PDF
  synthpop: An R package for generating synthetic versions of sensitive microdata for statistical disclosure limitation
Univ. Edinburgh

PDF

R code

PDF
  New online services for accessing PHC microdata for any user
Romania
PDF PDF
  The RAIRD Project: Remote Access Infrastructure for Register Data
Norway
PDF PDF
  An Introduction to the Administrative Data Research Network
Univ. Essex
  PDF
  Statistical confidentiality assurance framework in State Statistics Service of Ukraine
Ukraine
  PDF
       
 

Topic 5: Preserving Data Quality and Usability in Disclosure-Limited Data

   
  Generating synthetic geocoding information for public release
Germany & Duke Univ.
PDF PDF
  Anonymization of longitudinal surveys in the presence of outliers
Saarland State Univ. Applied Sciences
PDF PDF
  Using partially synthetic microdata to protect sensitive cells in business statistics
U.S. Bureau of the Census & Cornell Univ.
PDF PDF
  Quantitative Assessment of Data Confidentiality and Data Utility to Create Anonymized Census Microdata in Japan
Chuo Univ. & Japan
PDF PDF
       
 

Topic 6: New Methodologies for Protecting Data (Disclosure Limitation)

   
  Utility of synthetic microdata generated using parametric and tree-based methods
Univ. Edinburgh 
PDF PDF
  Formal privacy protection for data products combining individual and employer frames
Duke Univ., U.S. Census Bureau & Cornell Univ.
PDF PDF
  Using BCD CTA for difficult tables: a practical experiment with a real Eurostat table
Universitat Politècnica de Catalunya & Netherlands
PDF PDF
  Techniques to apply cell suppression to large sparse linked tables and some results using those techniques on the 2012 (US) Economic Census
United States of America
PDF PDF
  General discussion and conclusions   PDF
  Panel discussion  

PDF

PDF