Logo
Munich Personal RePEc Archive

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)

[thumbnail of MPRA_paper_88658.PDF]
Preview
PDF
MPRA_paper_88658.PDF

Download (493kB) | Preview

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?

Atom RSS 1.0 RSS 2.0

Contact us: mpra@ub.uni-muenchen.de

This repository has been built using EPrints software.

MPRA is a RePEc service hosted by Logo of the University Library LMU Munich.