Introduction to geo-linking cohort and admin data to social and physical environmental data

3 Jul 2024
Workshop

This online workshop will introduce participants to linking small-area level data on the local physical (air quality, greenspace etc) and social (access to services, deprivation) environment to cohort and administrative data.

Date Wednesday 3 July 2024, 9:30am - 3:15pm (UK time)
Format Online, using Microsoft Teams
Registration

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About the event

Event partner log

This training workshop (collaborators shown above) is aimed at researchers and data analysts who are interested in examining the association between aspects of the physical or social environment and health, economic, education or behavioural outcomes using Centre for Longitudinal Studies’ cohorts or administrative data from the UK.

The workshop will introduce participants to linking small-area level data on the local physical (air quality, greenspace etc) and social (access to services, deprivation) environment to cohort and administrative data. Attendees will learn basic concepts in geo-linkage and be introduced to key local social and environmental datasets. The workshop includes practical sessions to start building geographical information systems (GIS) skills for users of cohort and administrative data. The event is presented in collaboration with the Population, Policy and Practice Research and Teaching Department, UCL Great Ormond St. Institute of Child Health.

Why take part

  • We will outline reasons for geo-linking small-area level environmental data to cohort and administrative data.
  • We will signpost organisations that provide datasets on environmental and social topics for research and spatial analysis.
  • We will describe the structure of key social and physical environmental datasets used and applied for research purposes in the UK.
  • We will introduce basic methods for accessing, cleaning and managing environmental data, and linking these to cohort and administrative data, including practical sessions in R.

Presenters

  • Dr Selin Akaraci is a research fellow in environmental epidemiology at the UCL GOSH Population, Policy and Practice Research and Teaching Department, with a primary focus on exploring the impact of urban environment features on health.
  • Dr David Church is a Geographical information systems (GIS) developer at the UCL Centre for Longitudinal Studies.
  • Dr Joana Cruz is an environmental researcher at the UCL GOSH Population, Policy and Practice Research and Teaching Department. Her research interests include impact of environment on human health.
  • Professor Pia Hardelid is an epidemiologist at the UCL GOSH Population, Policy and Practice Research and Teaching Department. Her research focuses on how physical environment impacts child health.
  • Professor Morag Henderson is the Director of ‘Next Steps’, a large longitudinal cohort study and is a quantitative sociologist at the UCL Centre for Longitudinal Studies.
  • Dr Amal Rammah is an environmental epidemiologist at the UCL GOSH Population, Policy and Practice Research and Teaching Department. Her research has focused on maternal and child environmental health and health disparities.

Programme for the day

View the draft timings for the workshop.

Prerequisite for attending the event

Proficiency in R and RStudio: Participants should be comfortable with the basics of R programming, including data types, functions, and package management. Familiarity with the RStudio environment, including how to install and load packages, navigate the interface, and manage R projects, is essential.

You can download RStudio from the Posit website.

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Sign up to our mailing list to keep up to date with future training events, the latest data releases, research and other news from CLS and our cohort studies.

Contact our Communications Team

Event enquiries

Richard Steele
Events and Marketing Officer

Phone: 020 7911 5320
Email: ioe.clsevents@ucl.ac.uk

Contact us

Centre for Longitudinal Studies
UCL Social Research Institute

20 Bedford Way
London WC1H 0AL

Email: clsdata@ucl.ac.uk

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