No Cover Image

Conference Paper/Proceeding/Abstract 636 views 92 downloads

Harmonising data from different sources to conduct research using linked survey and routine datasets

Amrita Bandyopadhyay, Karen Tingay, Mario Cortina Borja, Lucy Griffiths, Ashley Akbari Orcid Logo, Helen Bedford, Sinead Brophy, Suzanne Walton, Carol Dezateux, Ronan Lyons

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

Swansea University Author: Ashley Akbari Orcid Logo

  • 44390.pdf

    PDF | Version of Record

    This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

    Download (228.85KB)

Check full text

DOI (Published version): 10.23889/ijpds.v3i4.750

Published in: International Journal of Population Data Science
ISSN: 2399-4908
Published: Banff, Canada IPDLN 2018 conference 2018
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa44390
first_indexed 2018-09-18T18:57:00Z
last_indexed 2018-10-16T13:46:26Z
id cronfa44390
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2018-10-16T11:07:16.9969728</datestamp><bib-version>v2</bib-version><id>44390</id><entry>2018-09-18</entry><title>Harmonising data from different sources to conduct research using linked survey and routine datasets</title><swanseaauthors><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></swanseaauthors><date>2018-09-18</date><deptcode>MEDS</deptcode><abstract/><type>Conference Paper/Proceeding/Abstract</type><journal>International Journal of Population Data Science</journal><volume>3</volume><journalNumber>4</journalNumber><publisher>IPDLN 2018 conference</publisher><placeOfPublication>Banff, Canada</placeOfPublication><issnElectronic>2399-4908</issnElectronic><keywords/><publishedDay>29</publishedDay><publishedMonth>8</publishedMonth><publishedYear>2018</publishedYear><publishedDate>2018-08-29</publishedDate><doi>10.23889/ijpds.v3i4.750</doi><url/><notes/><college>COLLEGE NANME</college><department>Medical School</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>MEDS</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2018-10-16T11:07:16.9969728</lastEdited><Created>2018-09-18T17:13:26.7398568</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>Amrita</firstname><surname>Bandyopadhyay</surname><order>1</order></author><author><firstname>Karen</firstname><surname>Tingay</surname><order>2</order></author><author><firstname>Mario Cortina</firstname><surname>Borja</surname><order>3</order></author><author><firstname>Lucy</firstname><surname>Griffiths</surname><order>4</order></author><author><firstname>Ashley</firstname><surname>Akbari</surname><orcid>0000-0003-0814-0801</orcid><order>5</order></author><author><firstname>Helen</firstname><surname>Bedford</surname><order>6</order></author><author><firstname>Sinead</firstname><surname>Brophy</surname><order>7</order></author><author><firstname>Suzanne</firstname><surname>Walton</surname><order>8</order></author><author><firstname>Carol</firstname><surname>Dezateux</surname><order>9</order></author><author><firstname>Ronan</firstname><surname>Lyons</surname><order>10</order></author></authors><documents><document><filename>0044390-16102018110602.pdf</filename><originalFilename>44390.pdf</originalFilename><uploaded>2018-10-16T11:06:02.2330000</uploaded><type>Output</type><contentLength>205292</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><embargoDate>2018-10-16T00:00:00.0000000</embargoDate><documentNotes>This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language></document></documents><OutputDurs/></rfc1807>
spelling 2018-10-16T11:07:16.9969728 v2 44390 2018-09-18 Harmonising data from different sources to conduct research using linked survey and routine datasets aa1b025ec0243f708bb5eb0a93d6fb52 0000-0003-0814-0801 Ashley Akbari Ashley Akbari true false 2018-09-18 MEDS Conference Paper/Proceeding/Abstract International Journal of Population Data Science 3 4 IPDLN 2018 conference Banff, Canada 2399-4908 29 8 2018 2018-08-29 10.23889/ijpds.v3i4.750 COLLEGE NANME Medical School COLLEGE CODE MEDS Swansea University 2018-10-16T11:07:16.9969728 2018-09-18T17:13:26.7398568 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Amrita Bandyopadhyay 1 Karen Tingay 2 Mario Cortina Borja 3 Lucy Griffiths 4 Ashley Akbari 0000-0003-0814-0801 5 Helen Bedford 6 Sinead Brophy 7 Suzanne Walton 8 Carol Dezateux 9 Ronan Lyons 10 0044390-16102018110602.pdf 44390.pdf 2018-10-16T11:06:02.2330000 Output 205292 application/pdf Version of Record true 2018-10-16T00:00:00.0000000 This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. true eng
title Harmonising data from different sources to conduct research using linked survey and routine datasets
spellingShingle Harmonising data from different sources to conduct research using linked survey and routine datasets
Ashley Akbari
title_short Harmonising data from different sources to conduct research using linked survey and routine datasets
title_full Harmonising data from different sources to conduct research using linked survey and routine datasets
title_fullStr Harmonising data from different sources to conduct research using linked survey and routine datasets
title_full_unstemmed Harmonising data from different sources to conduct research using linked survey and routine datasets
title_sort Harmonising data from different sources to conduct research using linked survey and routine datasets
author_id_str_mv aa1b025ec0243f708bb5eb0a93d6fb52
author_id_fullname_str_mv aa1b025ec0243f708bb5eb0a93d6fb52_***_Ashley Akbari
author Ashley Akbari
author2 Amrita Bandyopadhyay
Karen Tingay
Mario Cortina Borja
Lucy Griffiths
Ashley Akbari
Helen Bedford
Sinead Brophy
Suzanne Walton
Carol Dezateux
Ronan Lyons
format Conference Paper/Proceeding/Abstract
container_title International Journal of Population Data Science
container_volume 3
container_issue 4
publishDate 2018
institution Swansea University
issn 2399-4908
doi_str_mv 10.23889/ijpds.v3i4.750
publisher IPDLN 2018 conference
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 2018-08-29T07:34:36Z
_version_ 1821390014450237440
score 11.04748

Similar Items