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Conference Paper/Proceeding/Abstract 657 views 50 downloads

Repeatable Research Infrastructure Enabling Administrative Data Analysis

Daniel Thayer Orcid Logo, Muhammad Elmessary Orcid Logo, Daniel Mallory, Pete Arnold Orcid Logo, Michal Cichowski, Caroline Brooks Orcid Logo, Sarah Rees, Ting Wang Orcid Logo, Huw Collins, David Ford Orcid Logo

International Journal of Population Data Science, Volume: 4, Issue: 3

Swansea University Authors: Daniel Thayer Orcid Logo, Muhammad Elmessary Orcid Logo, Daniel Mallory, Pete Arnold Orcid Logo, Michal Cichowski, Caroline Brooks Orcid Logo, Ting Wang Orcid Logo, Huw Collins, David Ford Orcid Logo

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DOI (Published version): 10.23889/ijpds.v4i3.1268

Published in: International Journal of Population Data Science
ISSN: 2399-4908
Published: Swansea University 2019
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URI: https://cronfa.swan.ac.uk/Record/cronfa61887
first_indexed 2022-11-25T11:54:36Z
last_indexed 2023-01-13T19:22:57Z
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title Repeatable Research Infrastructure Enabling Administrative Data Analysis
spellingShingle Repeatable Research Infrastructure Enabling Administrative Data Analysis
Daniel Thayer
Muhammad Elmessary
Daniel Mallory
Pete Arnold
Michal Cichowski
Caroline Brooks
Ting Wang
Huw Collins
David Ford
title_short Repeatable Research Infrastructure Enabling Administrative Data Analysis
title_full Repeatable Research Infrastructure Enabling Administrative Data Analysis
title_fullStr Repeatable Research Infrastructure Enabling Administrative Data Analysis
title_full_unstemmed Repeatable Research Infrastructure Enabling Administrative Data Analysis
title_sort Repeatable Research Infrastructure Enabling Administrative Data Analysis
author_id_str_mv e1a6d9b30965cc61a76371fc8a1bf232
4be2e9acb658a7cabbc80ea75b6dfea8
bcc07d8ef8896171c7a9374410a5eca9
fe5550ac567c45169564ddcb0dd83021
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68de1e4c2140c97c37cdf154a3f18819
52fc0c473b0da1b7218d87f9fc68a3e6
author_id_fullname_str_mv e1a6d9b30965cc61a76371fc8a1bf232_***_Daniel Thayer
4be2e9acb658a7cabbc80ea75b6dfea8_***_Muhammad Elmessary
bcc07d8ef8896171c7a9374410a5eca9_***_Daniel Mallory
fe5550ac567c45169564ddcb0dd83021_***_Pete Arnold
0c087a52873c6f2d6fbf30fe181293a5_***_Michal Cichowski
ac99c6134cf75b4c3e5f63cbb1a149ee_***_Caroline Brooks
07cadc7e2e640735ae1f5bd948b74f6c_***_Ting Wang
68de1e4c2140c97c37cdf154a3f18819_***_Huw Collins
52fc0c473b0da1b7218d87f9fc68a3e6_***_David Ford
author Daniel Thayer
Muhammad Elmessary
Daniel Mallory
Pete Arnold
Michal Cichowski
Caroline Brooks
Ting Wang
Huw Collins
David Ford
author2 Daniel Thayer
Muhammad Elmessary
Daniel Mallory
Pete Arnold
Michal Cichowski
Caroline Brooks
Sarah Rees
Ting Wang
Huw Collins
David Ford
format Conference Paper/Proceeding/Abstract
container_title International Journal of Population Data Science
container_volume 4
container_issue 3
publishDate 2019
institution Swansea University
issn 2399-4908
doi_str_mv 10.23889/ijpds.v4i3.1268
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 - Medicine{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Medicine
document_store_str 1
active_str 0
published_date 2019-11-21T08:16:54Z
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