Big Data in Survey Research and Official Statistics

November 23, 2015, 13:45 h

Mannheim, Conference room B2,8 right

Frauke Kreuter

Abstract

Recent years have seen an increase in the amount of statistics describing different phenomena based on “Big Data.” This term includes data characterized not only by their large volume, but also by their variety and velocity, the organic way in which they are created, and the new types of processes needed to analyze them and make inference from them. The change in the nature of the new types of data, their availability, and the way in which they are collected and disseminated is fundamental. This change constitutes a paradigm shift for survey research. There is great potential in Big Data, but there are some fundamental challenges that have to be resolved before its full potential can be realized. This talk provides examples of different types of Big Data and their potential for survey research and official statistics; it also describes the Big Data process, discusses its main challenges, and considers solutions and research needs.

About the speaker

Frauke Kreuter is head of the IAB Statistical Methods group and Professor at the University of Mannheim. She also holds a Professorship in the Joint Program in Survey Methodology at the University of Maryland, USA since 2004. Prior to her appointment at the University of Mannheim she held an S-Professorship at the Institute for Statistics at the Ludwig-Maximilians-Universität in Munich, Germany. She received her PhD from the University of Konstanz in 2001. From 2001-2004 Frauke Kreuter was part of UCLA Statistics Department. Her research focuses on sampling and measurement errors in complex surveys, and the use of paradata to improve survey processes and survey estimates. Since joining the IAB her research expanded to investigate the joint use of survey and administrative data, as well as other newly emerging data sources.