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Cathie Marsh Institute for Social Research (development)

Introduction to Linking Data

Date: 4 April 2016
Time: 9.30am - 4:30pm
Instructor: Professor Natalie Shlomo
Level: Introductory
Fee: £195 (£140 for those from educational and charitable institutions). 
The Cathie Marsh Institute (CMIST) offers five free places to research staff and students within the Faculty of Humanities at The University of Manchester and the North West Doctoral Training Centre. 
Postgraduate students requesting a free place will be required to provide a letter of support from their supervisor.

Outline

The one day course will introduce basic concepts of data linkage, provide background information on data linkage applications and different data sources as well as aspects of preparing datasets for data linkage. By the end of the day, participants should have an understanding of what is involved when merging datasets.

The course will provide the basis for those interested in more advanced topics of data linkage and the actual implementation of probabilistic data linkage which will be covered on the following two days.

Objective

  • To provide background information and basic concepts of data linkage.

Prerequisites

No prerequisites are required to undertake this course.

Recommended reading

  • Gill, L. (2001) Methods for Automatic Record Matching and Linkage and their use in National Statistics, The National Statistics Methodology Series, ONS

  • Herzog, T. N., Scheuren, F. J. and Winkler, W. E. (2007) Data Quality and Record Linkage Techniques. New York: Springer. ISBN 978-0-387-69502-0

  • Mason, C.A. and Shihfen, T. (2008) Data Linkage Using Probabilistic Decision Rules: A Primer, Birth Defects Research (Part A): Clinical and Molecular Teratology. 82, 812-821.

  • Winkler, W. E. (1995) Matching and Record Linkage, in B.G. Cox et al. (ed) Business Survey Methods. New York: J. Wiley, 355-384.

About the instructor

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