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Opportunities for longitudinal data linkage in Scotland.
1Senior Research Associate, Department of Epidemiology and Public Health, UCL, London g.hagger-johnson@ucl.ac.uk.
Scottish Medical Journal
|April 19, 2015
Summary
Scotland offers robust data resources for international researchers. The Scottish Informatics and Linkage Collaboration (SILC) enhances data linkage, enabling new research possibilities with health and non-health data.
Area of Science:
- Data science
- Biomedical informatics
- Public health research
Background:
- Scotland possesses internationally competitive data resources accessible to global researchers.
- The recent launch of the Scottish Informatics and Linkage Collaboration (SILC) facilitates data linkage across and within sectors, including health and non-health data.
- Longitudinal data resources are central to data linkage research, enabling the study of changes over time.
Purpose of the Study:
- To define key terms in data linkage.
- To describe emerging data linkage resources in Scotland.
- To highlight international research opportunities using Scottish data.
Main Methods:
- Review article format.
- Focus on longitudinal data resources (cohort studies, repeated measures).
- Emphasis on linking health and non-health data.
Main Results:
- Scotland's data infrastructure is internationally competitive.
- The SILC initiative enables sophisticated data linkage.
- Linking diverse datasets addresses previously unanswerable research questions.
Conclusions:
- Data linkage research should be guided by clear research questions.
- Scotland's infrastructure and SILC will significantly advance research.
- New research avenues are opened by integrated Scottish data resources.
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