Lookup NU author(s): Dr Demetris Avraam,
Dr Becca Wilson,
Professor Paul Burton
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
Three synthetic datasets - of observation size 15,000, 155,000 and 1,555,000 participants, respectively - were created by simulating eleven cardiac and anthropometric variables from nine collection ages of the ALSAPC birth cohort study. The synthetic datasets retain similar data properties to the ALSPAC study data they are simulated from (co-variance matrices, as well as the mean and variance values of the variables) without including the original data itself or disclosing participant information. In this instance, the three synthetic datasets have been utilised in an academia-industry collaboration to build a prototype virtual reality data analysis software, but they could have a broader use in method and software development projects where sensitive data cannot be freely shared.
Author(s): Avraam D, Wilson RC, Burton P
Publication type: Article
Publication status: Published
Journal: Wellcome Open Research
Online publication date: 30/08/2017
Acceptance date: 23/08/2017
Date deposited: 07/12/2017
ISSN (electronic): 2398-502X
Publisher: Wellcome Trust
PubMed id: 28989981
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