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Synthetic Data, Common Data Models and Federation: Holy Trinity or unholy mess?

James H Boyd, Simon Ellwood-Thompson, Michael Schull, Alison L Park, Benjamin Hachey, Ashley Akbari Orcid Logo

International Journal of Population Data Science, Volume: 9, Issue: 5

Swansea University Authors: Simon Ellwood-Thompson, Ashley Akbari Orcid Logo

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DOI (Published version): 10.23889/ijpds.v9i5.2933

Published in: International Journal of Population Data Science
ISSN: 2399-4908
Published: Swansea University 2024
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URI: https://cronfa.swan.ac.uk/Record/cronfa68425
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last_indexed 2025-01-31T20:26:41Z
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spelling 2025-01-31T16:00:32.8858388 v2 68425 2024-12-02 Synthetic Data, Common Data Models and Federation: Holy Trinity or unholy mess? 6498256ca5bc432bd9626503f1019113 Simon Ellwood-Thompson Simon Ellwood-Thompson true false aa1b025ec0243f708bb5eb0a93d6fb52 0000-0003-0814-0801 Ashley Akbari Ashley Akbari true false 2024-12-02 MEDS Conference Paper/Proceeding/Abstract International Journal of Population Data Science 9 5 Swansea University 2399-4908 30 10 2024 2024-10-30 10.23889/ijpds.v9i5.2933 COLLEGE NANME Medical School COLLEGE CODE MEDS Swansea University 2025-01-31T16:00:32.8858388 2024-12-02T19:31:01.9426240 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Health Data Science James H Boyd 1 Simon Ellwood-Thompson 2 Michael Schull 3 Alison L Park 4 Benjamin Hachey 5 Ashley Akbari 0000-0003-0814-0801 6 68425__33473__91a4c7e2993b4403872065e80573a869.pdf 68425.VoR.pdf 2025-01-31T15:59:08.2519181 Output 204435 application/pdf Version of Record true Copyright 2024 © The Authors. Open Access under CC BY 4.0. true eng https://creativecommons.org/licenses/by/4.0/deed.en
title Synthetic Data, Common Data Models and Federation: Holy Trinity or unholy mess?
spellingShingle Synthetic Data, Common Data Models and Federation: Holy Trinity or unholy mess?
Simon Ellwood-Thompson
Ashley Akbari
title_short Synthetic Data, Common Data Models and Federation: Holy Trinity or unholy mess?
title_full Synthetic Data, Common Data Models and Federation: Holy Trinity or unholy mess?
title_fullStr Synthetic Data, Common Data Models and Federation: Holy Trinity or unholy mess?
title_full_unstemmed Synthetic Data, Common Data Models and Federation: Holy Trinity or unholy mess?
title_sort Synthetic Data, Common Data Models and Federation: Holy Trinity or unholy mess?
author_id_str_mv 6498256ca5bc432bd9626503f1019113
aa1b025ec0243f708bb5eb0a93d6fb52
author_id_fullname_str_mv 6498256ca5bc432bd9626503f1019113_***_Simon Ellwood-Thompson
aa1b025ec0243f708bb5eb0a93d6fb52_***_Ashley Akbari
author Simon Ellwood-Thompson
Ashley Akbari
author2 James H Boyd
Simon Ellwood-Thompson
Michael Schull
Alison L Park
Benjamin Hachey
Ashley Akbari
format Conference Paper/Proceeding/Abstract
container_title International Journal of Population Data Science
container_volume 9
container_issue 5
publishDate 2024
institution Swansea University
issn 2399-4908
doi_str_mv 10.23889/ijpds.v9i5.2933
publisher Swansea University
college_str Faculty of Medicine, Health and Life Sciences
hierarchytype
hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str Swansea University Medical School - Health Data Science{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Health Data Science
document_store_str 1
active_str 0
published_date 2024-10-30T09:38:40Z
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score 11.060726

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