The integration of survey data (i.e. probability and non-probability samples) and non-survey data (i.e. administrative records, geospatial characteristics and digital trace data) can provide researchers with access to a breadth of rich and detailed information for use in applied and methodological fields. However, this process can introduce and compound sources of error and bias which should be assessed and mitigated. This online workshop will explore how different sources of survey and non-survey data are integrated, discussing use-cases and case studies for data integration.
This workshop will be delivered by the Survey Futures research strand 7 team, Dr Thomas O’Toole, Dr Alexandru Cernat, Prof Natalie Shlomo, Prof Nikos Tzavidis and Prof Joe Sakshaug, and include two case studies detailing use-cases for integrated survey-to-administrative and survey-to-geospatial data
The workshop covers:
· The definitions and purposes of data integration.
· How different sources of data are commonly integrated.
· Which sources of survey and non-survey data are commonly integrated.
· The benefits and challenges of working with Integrated data survey-to-non-survey data.
Including presentations on:
· Options for integrating non-survey and population survey data (Dr Thomas O’Toole - The University of Manchester)
· Examining sample representativeness and data quality in the linked Next Steps survey and Student Loans Company administrative data (Dr Charlotte Booth – University College London)
· Integrating survey and geospatial data: Areas of application and case studies (Luciano Perfetti Villa – University of Southampton)
By the end of the course participants will:
· Understand the background and reasoning for survey-to-non-survey data integration.
· Understand the characteristics of various sources of integrated survey and non-survey data.
· Be able to evaluate sources of error in data integration and understand how to ameliorate their effects.
This course is aimed at PhD students, post-doctoral researchers and lecturers, in addition to practitioners from survey agencies. No existing knowledge of data linkage or integration is needed
Members - free to attend
Non-members £10