No Cover Image

Journal article 392 views 56 downloads

Exploring barriers and solutions in advancing cross-centre population data science

Kerina Jones Orcid Logo, Sharon Heys, Helen Daniels Orcid Logo, David Ford Orcid Logo

International Journal of Population Data Science, Volume: 4, Issue: 1

Swansea University Authors: Kerina Jones Orcid Logo, Sharon Heys, Helen Daniels Orcid Logo, David Ford Orcid Logo

  • 51073.pdf

    PDF | Version of Record

    Released under the terms of a Creative Commons Attribution 4.0 International License (CC-BY).

    Download (418.57KB)
Published in: International Journal of Population Data Science
ISSN: 2399-4908
Published: Swansea University 2019
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa51073
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2019-07-12T15:43:02Z
last_indexed 2019-08-15T15:29:40Z
id cronfa51073
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2019-08-15T12:39:43.9150936</datestamp><bib-version>v2</bib-version><id>51073</id><entry>2019-07-12</entry><title>Exploring barriers and solutions in advancing cross-centre population data science</title><swanseaauthors><author><sid>c13b3cd0a6f8cbac2e461b54b3cdd839</sid><ORCID>0000-0001-8164-3718</ORCID><firstname>Kerina</firstname><surname>Jones</surname><name>Kerina Jones</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>61f095d8f6942db1b4fd65e2053091f5</sid><firstname>Sharon</firstname><surname>Heys</surname><name>Sharon Heys</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>a054902cb884be2476d0f097f0016294</sid><ORCID>0000-0001-8899-0333</ORCID><firstname>Helen</firstname><surname>Daniels</surname><name>Helen Daniels</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>52fc0c473b0da1b7218d87f9fc68a3e6</sid><ORCID>0000-0001-6551-721X</ORCID><firstname>David</firstname><surname>Ford</surname><name>David Ford</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2019-07-12</date><deptcode>HDAT</deptcode><abstract/><type>Journal Article</type><journal>International Journal of Population Data Science</journal><volume>4</volume><journalNumber>1</journalNumber><publisher>Swansea University</publisher><issnElectronic>2399-4908</issnElectronic><keywords/><publishedDay>5</publishedDay><publishedMonth>8</publishedMonth><publishedYear>2019</publishedYear><publishedDate>2019-08-05</publishedDate><doi>10.23889/ijpds.v4i1.1109</doi><url/><notes/><college>COLLEGE NANME</college><department>Health Data Science</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>HDAT</DepartmentCode><institution>Swansea University</institution><degreesponsorsfunders>UKRI, MR/M501633/2, UKHIRN/XFarRP007</degreesponsorsfunders><apcterm/><lastEdited>2019-08-15T12:39:43.9150936</lastEdited><Created>2019-07-12T09:52:52.7353057</Created><path><level id="1">Faculty of Medicine, Health and Life Sciences</level><level id="2">Swansea University Medical School - Medicine</level></path><authors><author><firstname>Kerina</firstname><surname>Jones</surname><orcid>0000-0001-8164-3718</orcid><order>1</order></author><author><firstname>Sharon</firstname><surname>Heys</surname><order>2</order></author><author><firstname>Helen</firstname><surname>Daniels</surname><orcid>0000-0001-8899-0333</orcid><order>3</order></author><author><firstname>David</firstname><surname>Ford</surname><orcid>0000-0001-6551-721X</orcid><order>4</order></author></authors><documents><document><filename>0051073-15082019123855.pdf</filename><originalFilename>51073.pdf</originalFilename><uploaded>2019-08-15T12:38:55.5100000</uploaded><type>Output</type><contentLength>418661</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><embargoDate>2019-08-14T00:00:00.0000000</embargoDate><documentNotes>Released under the terms of a Creative Commons Attribution 4.0 International License (CC-BY).</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language></document></documents><OutputDurs/></rfc1807>
spelling 2019-08-15T12:39:43.9150936 v2 51073 2019-07-12 Exploring barriers and solutions in advancing cross-centre population data science c13b3cd0a6f8cbac2e461b54b3cdd839 0000-0001-8164-3718 Kerina Jones Kerina Jones true false 61f095d8f6942db1b4fd65e2053091f5 Sharon Heys Sharon Heys true false a054902cb884be2476d0f097f0016294 0000-0001-8899-0333 Helen Daniels Helen Daniels true false 52fc0c473b0da1b7218d87f9fc68a3e6 0000-0001-6551-721X David Ford David Ford true false 2019-07-12 HDAT Journal Article International Journal of Population Data Science 4 1 Swansea University 2399-4908 5 8 2019 2019-08-05 10.23889/ijpds.v4i1.1109 COLLEGE NANME Health Data Science COLLEGE CODE HDAT Swansea University UKRI, MR/M501633/2, UKHIRN/XFarRP007 2019-08-15T12:39:43.9150936 2019-07-12T09:52:52.7353057 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Kerina Jones 0000-0001-8164-3718 1 Sharon Heys 2 Helen Daniels 0000-0001-8899-0333 3 David Ford 0000-0001-6551-721X 4 0051073-15082019123855.pdf 51073.pdf 2019-08-15T12:38:55.5100000 Output 418661 application/pdf Version of Record true 2019-08-14T00:00:00.0000000 Released under the terms of a Creative Commons Attribution 4.0 International License (CC-BY). true eng
title Exploring barriers and solutions in advancing cross-centre population data science
spellingShingle Exploring barriers and solutions in advancing cross-centre population data science
Kerina Jones
Sharon Heys
Helen Daniels
David Ford
title_short Exploring barriers and solutions in advancing cross-centre population data science
title_full Exploring barriers and solutions in advancing cross-centre population data science
title_fullStr Exploring barriers and solutions in advancing cross-centre population data science
title_full_unstemmed Exploring barriers and solutions in advancing cross-centre population data science
title_sort Exploring barriers and solutions in advancing cross-centre population data science
author_id_str_mv c13b3cd0a6f8cbac2e461b54b3cdd839
61f095d8f6942db1b4fd65e2053091f5
a054902cb884be2476d0f097f0016294
52fc0c473b0da1b7218d87f9fc68a3e6
author_id_fullname_str_mv c13b3cd0a6f8cbac2e461b54b3cdd839_***_Kerina Jones
61f095d8f6942db1b4fd65e2053091f5_***_Sharon Heys
a054902cb884be2476d0f097f0016294_***_Helen Daniels
52fc0c473b0da1b7218d87f9fc68a3e6_***_David Ford
author Kerina Jones
Sharon Heys
Helen Daniels
David Ford
author2 Kerina Jones
Sharon Heys
Helen Daniels
David Ford
format Journal article
container_title International Journal of Population Data Science
container_volume 4
container_issue 1
publishDate 2019
institution Swansea University
issn 2399-4908
doi_str_mv 10.23889/ijpds.v4i1.1109
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 2019-08-05T04:00:12Z
_version_ 1757143275815305216
score 10.927741