No Cover Image

Journal article 384 views 49 downloads

A case study in distributed team science in research using electronic health records / Jiao Song, Elizabeth Elliot, Andrew D Morris, Joannes J Kerssens, Simon Ellwood-Thompson, Ashley Akbari, Ronan Lyons

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

Swansea University Authors: Jiao Song, Ashley Akbari, Ronan Lyons

  • 40985.pdf

    PDF | Version of Record

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

    Download (1.3MB)
Published in: International Journal of Population Data Science
ISSN: 2399-4908
Published: 2018
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa40985
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2018-07-12T19:34:03Z
last_indexed 2021-03-19T04:04:44Z
id cronfa40985
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2021-03-18T13:48:59.5069234</datestamp><bib-version>v2</bib-version><id>40985</id><entry>2018-07-12</entry><title>A case study in distributed team science in research using electronic health records</title><swanseaauthors><author><sid>00048c7531209d3238534e0b319de731</sid><ORCID>0000-0002-4976-156X</ORCID><firstname>Jiao</firstname><surname>Song</surname><name>Jiao Song</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>aa1b025ec0243f708bb5eb0a93d6fb52</sid><ORCID>0000-0003-0814-0801</ORCID><firstname>Ashley</firstname><surname>Akbari</surname><name>Ashley Akbari</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>83efcf2a9dfcf8b55586999d3d152ac6</sid><ORCID>0000-0001-5225-000X</ORCID><firstname>Ronan</firstname><surname>Lyons</surname><name>Ronan Lyons</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2018-07-12</date><deptcode>HDAT</deptcode><abstract/><type>Journal Article</type><journal>International Journal of Population Data Science</journal><volume>3</volume><journalNumber>3</journalNumber><paginationStart/><paginationEnd/><publisher/><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint/><issnElectronic>2399-4908</issnElectronic><keywords/><publishedDay>21</publishedDay><publishedMonth>9</publishedMonth><publishedYear>2018</publishedYear><publishedDate>2018-09-21</publishedDate><doi>10.23889/ijpds.v3i3.442</doi><url/><notes/><college>COLLEGE NANME</college><department>Health Data Science</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>HDAT</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2021-03-18T13:48:59.5069234</lastEdited><Created>2018-07-12T14:37:45.8715383</Created><path><level id="1">Swansea University Medical School</level><level id="2">Swansea University Medical School</level></path><authors><author><firstname>Jiao</firstname><surname>Song</surname><orcid>0000-0002-4976-156X</orcid><order>1</order></author><author><firstname>Elizabeth</firstname><surname>Elliot</surname><order>2</order></author><author><firstname>Andrew D</firstname><surname>Morris</surname><order>3</order></author><author><firstname>Joannes J</firstname><surname>Kerssens</surname><order>4</order></author><author><firstname>Simon</firstname><surname>Ellwood-Thompson</surname><order>5</order></author><author><firstname>Ashley</firstname><surname>Akbari</surname><orcid>0000-0003-0814-0801</orcid><order>6</order></author><author><firstname>Ronan</firstname><surname>Lyons</surname><orcid>0000-0001-5225-000X</orcid><order>7</order></author></authors><documents><document><filename>0040985-21092018121800.pdf</filename><originalFilename>40985.pdf</originalFilename><uploaded>2018-09-21T12:18:00.8870000</uploaded><type>Output</type><contentLength>1352684</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><action/><embargoDate>2018-09-20T00:00:00.0000000</embargoDate><documentNotes>Released under the terms of a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC-BY-NC-ND).</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language></document></documents><OutputDurs/></rfc1807>
spelling 2021-03-18T13:48:59.5069234 v2 40985 2018-07-12 A case study in distributed team science in research using electronic health records 00048c7531209d3238534e0b319de731 0000-0002-4976-156X Jiao Song Jiao Song true false aa1b025ec0243f708bb5eb0a93d6fb52 0000-0003-0814-0801 Ashley Akbari Ashley Akbari true false 83efcf2a9dfcf8b55586999d3d152ac6 0000-0001-5225-000X Ronan Lyons Ronan Lyons true false 2018-07-12 HDAT Journal Article International Journal of Population Data Science 3 3 2399-4908 21 9 2018 2018-09-21 10.23889/ijpds.v3i3.442 COLLEGE NANME Health Data Science COLLEGE CODE HDAT Swansea University 2021-03-18T13:48:59.5069234 2018-07-12T14:37:45.8715383 Swansea University Medical School Swansea University Medical School Jiao Song 0000-0002-4976-156X 1 Elizabeth Elliot 2 Andrew D Morris 3 Joannes J Kerssens 4 Simon Ellwood-Thompson 5 Ashley Akbari 0000-0003-0814-0801 6 Ronan Lyons 0000-0001-5225-000X 7 0040985-21092018121800.pdf 40985.pdf 2018-09-21T12:18:00.8870000 Output 1352684 application/pdf Version of Record true 2018-09-20T00:00:00.0000000 Released under the terms of a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC-BY-NC-ND). true eng
title A case study in distributed team science in research using electronic health records
spellingShingle A case study in distributed team science in research using electronic health records
Jiao, Song
Ashley, Akbari
Ronan, Lyons
title_short A case study in distributed team science in research using electronic health records
title_full A case study in distributed team science in research using electronic health records
title_fullStr A case study in distributed team science in research using electronic health records
title_full_unstemmed A case study in distributed team science in research using electronic health records
title_sort A case study in distributed team science in research using electronic health records
author_id_str_mv 00048c7531209d3238534e0b319de731
aa1b025ec0243f708bb5eb0a93d6fb52
83efcf2a9dfcf8b55586999d3d152ac6
author_id_fullname_str_mv 00048c7531209d3238534e0b319de731_***_Jiao, Song
aa1b025ec0243f708bb5eb0a93d6fb52_***_Ashley, Akbari
83efcf2a9dfcf8b55586999d3d152ac6_***_Ronan, Lyons
author Jiao, Song
Ashley, Akbari
Ronan, Lyons
author2 Jiao Song
Elizabeth Elliot
Andrew D Morris
Joannes J Kerssens
Simon Ellwood-Thompson
Ashley Akbari
Ronan Lyons
format Journal article
container_title International Journal of Population Data Science
container_volume 3
container_issue 3
publishDate 2018
institution Swansea University
issn 2399-4908
doi_str_mv 10.23889/ijpds.v3i3.442
college_str Swansea University Medical School
hierarchytype
hierarchy_top_id swanseauniversitymedicalschool
hierarchy_top_title Swansea University Medical School
hierarchy_parent_id swanseauniversitymedicalschool
hierarchy_parent_title Swansea University Medical School
department_str Swansea University Medical School{{{_:::_}}}Swansea University Medical School{{{_:::_}}}Swansea University Medical School
document_store_str 1
active_str 0
published_date 2018-09-21T04:03:05Z
_version_ 1714377914582040576
score 10.829975