Challenges for statistical disclosure control in a world with big data and open data

de Wolf, Peter-Paul and Zeelenberg, Kees (2015): Challenges for statistical disclosure control in a world with big data and open data. Published in: Proceedings of the 60th World Statistics Congress , Vol. 60, (2015)

Abstract

National statistical institutes (NSIs) produce tables and microdata files; these data are typically checked for unwanted disclosure of data of individual persons and enterprises. In recent years many other data sources, in the form of open data and big data, have become available, for the general public, for researchers, and for and from data collectors and providers other than NSIs. This poses new problems for statistical disclosure control. We discuss several of these problems, such as should NSIs protect their tables and microdata files against linking to other datasets so as to prevent detailed profiling of their respondents, should we entertain different disclosure scenarios and switch to other disclosure-control methods?

• Item Type: MPRA Paper
• Language: English
• Keywords: disclosure control; open data; big data
• Subjects: C - Mathematical and Quantitative Methods > C8 - Data Collection and Data Estimation Methodology ; Computer Programs > C81 - Methodology for Collecting, Estimating, and Organizing Microeconomic Data ; Data Access

References

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