Prospective data linkage to facilitate COVID-19 trials – A call to action

P Alison Paprica, Professor; Matthew Sydes, Professor; Kimberlyn McGrail, Professor; Andrew Morris, Professor; Michael J Schull, Professor; Rhoswyn Walker, Dr.

doi:10.23889/ijpds.v5i2.1383

International Journal of Population Data Science (Aug 2020)

Prospective data linkage to facilitate COVID-19 trials – A call to action

P Alison Paprica, Professor,
Matthew Sydes, Professor,
Kimberlyn McGrail, Professor,
Andrew Morris, Professor,
Michael J Schull, Professor,
Rhoswyn Walker, Dr.

Affiliations

P Alison Paprica, Professor: ICES, 2075 Bayview Ave, Toronto, ON, M4N 3M5, Canada; Health Data Research Network Canada; University of Toronto
Matthew Sydes, Professor: Medical Research Council Clinical Trials Unit at University College London (UCL), 90 High Holborn, London, WC1V 6LJ, UK; Institute of Clinical Trials and Methodology, UCL; Health Data Research UK
Kimberlyn McGrail, Professor: Population Data BC, 201-2206 East Mall, Vancouver, BC, V6T 1Z3, Canada; Health Data Research Network Canada; University of British Columbia
Andrew Morris, Professor: Health Data Research UK, Gibbs Building, 215 Euston Road, London, NW1 2BE, UK
Michael J Schull, Professor: ICES, 2075 Bayview Ave, Toronto, ON, M4N 3M5, Canada; Health Data Research Network Canada; University of Toronto
Rhoswyn Walker, Dr.: Health Data Research UK, Gibbs Building, 215 Euston Road, London, NW1 2BE, UK

DOI: https://doi.org/10.23889/ijpds.v5i2.1383
Journal volume & issue: Vol. 5, no. 2

Abstract

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Many countries around the world are creating COVID-19 trial datasets and databases of COVID-19-related data such as test results that cover entire populations. It is our strong recommendation, and sincere hope, that these data assets will be brought together through record linkage so that their scientific value and impact for society can be amplified. We call on trialists, data stewards and research funders to work together so that prospective linkage of trial data to medical databases becomes the norm, starting with COVID-19 trials.

Published in International Journal of Population Data Science

ISSN: 2399-4908 (Online)
Publisher: Swansea University
Country of publisher: United Kingdom
LCC subjects: Social Sciences: Economic theory. Demography: Demography. Population. Vital events
Website: https://ijpds.org

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