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Research-ready data for multi-cohort analyses: The Dementias Platform UK (DPUK) C-Surv data model

Authors :
Joshua R Bauermeister
John Gallacher
Sarah Bauermeister
Caterina Felici
Laura North
Christopher Orton
Simon Thompson
Mark Newbury
Ruth Bridgman
Simon Young
Emma Squires
Publication Year :
2021
Publisher :
Research Square Platform LLC, 2021.

Abstract

Research-ready data (that curated to a defined standard) increases scientific opportunity and rigour by integrating the data environment. The development of research platforms has highlighted the value of research-ready data, particularly for multi-cohort analyses. Following user consultation, a standard data model (C-Surv), optimised for data discovery, was developed using data from 12 Dementias Platform UK (DPUK) population and clinical cohort studies. The model uses a four-tier nested structure based on 18 data themes selected according to user behaviour or technology. Standard variable naming conventions are applied to uniquely identify variables within the context of longitudinal studies. The data model was used to develop a harmonised dataset for 11 cohorts. This dataset populated the Cohort Explorer data discovery tool for assessing the feasibility of an analysis prior to making a data access request. It was concluded that developing and applying a standard data model (C-Surv) for research cohort data is feasible and useful.

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....22b68d7a6e766d823afd030bce304481
Full Text :
https://doi.org/10.21203/rs.3.rs-937113/v2