A guide to navigating administrative data linkage for research
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Updated: Jul 21, 2025

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
Published on: July 1, 2020
Gursharan K Singh1,2, Alison P Bowers1,2
1Centre for Healthcare Transformation, Faculty of Health, Queensland University of Technology (QUT), 60 Musk Avenue, Brisbane, QLD 4059, Australia.
Abstract:
Data linkage brings together information from various sources, including routinely collected administrative data or data from different research studies, to create a new, richer dataset. It provides insights into complex relationships between health and outcomes and evidence pathways to good health. However, when considering data linkage, there are several processes and practicality aspects that need to be explored. Some of these include understanding the costs, complexity of linkage, data storage requirements, required applications, and time lags. Taking these practicalities into consideration will lead to a more efficient process for data linkage.
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