Journal article
Transforming and evaluating the UK Biobank to the OMOP Common Data Model for COVID-19 research and beyond
- Abstract:
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Objective: The COVID-19 pandemic has demonstrated the value of real-world data for public health research. International federated analyses are crucial for informing policy makers. Common data models (CDM) are critical for enabling these studies to be performed efficiently. Our objective was to convert the UK Biobank, a study of 500,000 participants with rich genetic and phenotypic data to the Observational Medical Outcomes Partnership (OMOP) CDM.
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- Publication status:
- Accepted
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Version of record, pdf, 604.5KB, Terms of use)
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- Publisher copy:
- 10.1093/jamia/ocac203
Authors
Bibliographic Details
- Publisher:
- Oxford University Press
- Journal:
- Journal of the American Medical Informatics Association More from this journal
- Volume:
- 30
- Issue:
- 1
- Pages:
- 103–111
- Publication date:
- 2022-10-13
- Acceptance date:
- 2022-10-05
- DOI:
- EISSN:
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1527-974X
- ISSN:
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1067-5027
Item Description
- Language:
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English
- Keywords:
- Pubs id:
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1281580
- Local pid:
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pubs:1281580
- Deposit date:
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2022-10-06
Terms of use
- Copyright holder:
- Papez et al
- Copyright date:
- 2022
- Rights statement:
- © The Author(s) 2022. Published by Oxford University Press on behalf of the American Medical Informatics Association. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
- Licence:
- CC Attribution (CC BY)
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