Combining and Enhancing Data

Organiser

Dr. Mark Elliot, Centre for Census and Survey Research (CCSR), University of Manchester

Date and Location

22 - 23 January 2007, Chancellors Hotel, University of Manchester, UK

Summary

As the complexity and availability of data increases and techniques for analysing complex datasets become more sophisticated, researchers are increasing looking at using multiple data sources to answer research questions. New techniques for combining datasets, for enhancing one dataset by using information from another and for synthesising and simulating data provide new opportunities but also raise new issues.

This two-day agenda setting workshop provided a forum for the discussion of issues with, and the development of methodology for, combining and enhancing data.

Several invited international visitors with expertise in this area presented their latest findings and recommendations. Topics included model based methods for combining data; micro simulation of individual level data with aggregate data; confidentiality issues associated with combining data. Following these presentations, on the second day, all invited participants contributed to a session devoted to setting the agenda for future research in the area of combing and enhancing data.

Click here to see a copy of the workshop information booklet (504kb)

Programme

Keynote Speech (1.23 mb)
Ian Diamond, Chief Executive of ESRC

Generalised Models for Data Combination: Ideas Toward a Future Research Programme (253kb)
Dean Judson, US Bureau of the Census

Data Mining from Miltiple Datasets (85kb)
Josep Domingo-Ferrer, Univ. Rovira i Virgili & Vicenc Torres, Universitat Autonoma de Barcelona

Spatial Microsimulation Approaches to Creating and Updating Small Area Microdata (529kb)
Dimitris Ballas, University of Sheffield

Using Multiple Integration to Integrate and Disseminate Microdata (84kb)
Jerry Reiter, Duke University

The Research Benefits of Combining Individual and Aggregate Cenusus Data (68kb)
Mark Tranmer & Mark Elliot, University of Manchester and David Steel, University of Wollongong

Geographical Models for Combining Multiple Data Sources (159kb)
Nicky Best and Chris Jackson, Imperial College London

Disclosure Risk Issues of Combining Data (65kb)
Duncan Smith & Mark Elliot, University of Manchester

Nirvana or Pandora's Box: Recurring Data integration Issues in eHealth(1.89mb)
Jenny Ure, Rob Procter, Dave Liewald, Claudia Pagliari, Mark Hartswood and Alex Voss