Recent Advances in Data Integration

Author:

Sakshaug Joseph W1,Steorts Rebecca C2

Affiliation:

1. Statistics at the Institute for Employment Research (IAB) is Professor of , Regensburger Str. 104, 90478 Nuremberg, Germany, Ludwig-Maximilian University of Munich, Germany, and University of Mannheim, Germany

2. Department of Statistical Science, Computer Science, Biostatistics and Bioinformatics, the Rhodes information initiative at Duke (iiD) is an Associate Professor at the , and the Social Science Research Institute (SSRI), Duke University, 214 Old Chemistry, Box 90251, Durham, NC 27708-0251, USA and Principal Mathematical Statistician, United States Census Bureau, Suitland, MD, USA

Abstract

AbstractThe availability of both survey and non-survey data sources, such as administrative data, social media data, and digital trace data, has grown rapidly over the past decade. With this expansion in data, the statistical, methodological, computational, and ethical challenges around integrating multiple data sources have also grown. This special issue addresses these challenges by highlighting recent innovations and applications in data integration and related topics.

Publisher

Oxford University Press (OUP)

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Social Sciences (miscellaneous),Statistics and Probability

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