Affiliation:
1. Department of Statistical Science at Duke University is an Associate Professor in the with affiliations in Computer Science, Biostatistics and Bioinformatics, the Social Science initiate at Duke University, and the Rhodes information initiative at Duke University. Steorts is a Mathematical Statistician at the United States Census Bureau, Suitland, MD, USA
Abstract
Abstract
The availability of both structured and unstructured databases, such as electronic health data, social media data, patent data, and surveys that are often updated in real time, among others, has grown rapidly over the past decade. With this expansion, the statistical and methodological questions around data integration, or rather merging multiple data sources, have also grown. Specifically, the science of the “data cleaning pipeline” contains four stages that allow an analyst to perform downstream tasks, predictive analyses, or statistical analyses on “cleaned data.” This article provides a review of this emerging field, introducing technical terminology and commonly used methods.
Publisher
Oxford University Press (OUP)
Subject
Applied Mathematics,Statistics, Probability and Uncertainty,Social Sciences (miscellaneous),Statistics and Probability
Cited by
1 articles.
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1. Recent Advances in Data Integration;Journal of Survey Statistics and Methodology;2023-04-21