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dc.contributor.authorAitken, Mhairi
dc.contributor.authorTully, Mary P
dc.contributor.authorPorteous, Carol
dc.contributor.authorDenegri, Simon
dc.contributor.authorCunningham-Burley, Sarah
dc.contributor.authorBanner, Natalie
dc.contributor.authorBlack, Corri
dc.contributor.authorBurgess, Michael
dc.contributor.authorCross, Lynsey
dc.contributor.authorvan Delden, Johannes Jm
dc.contributor.authorFord, Elizabeth
dc.contributor.authorFox, Sarah
dc.contributor.authorFitzpatrick, Natalie K
dc.contributor.authorGallacher, Kay
dc.contributor.authorGoddard, Catharine
dc.contributor.authorHassan, Lamiece
dc.contributor.authorJamieson, Ron
dc.contributor.authorJones, Kerina H
dc.contributor.authorKaarakainen, Minna
dc.contributor.authorLugg-Widger, Fiona
dc.contributor.authorMcGrail, Kimberlyn
dc.contributor.authorMcKenzie, Anne
dc.contributor.authorMoran, Rosalyn
dc.contributor.authorMurtagh, Madeleine J
dc.contributor.authorOswald, Malcolm
dc.contributor.authorPaprica, Alison
dc.contributor.authorPerrin, Nicola
dc.contributor.authorRichards, Emma Victoria
dc.contributor.authorRouse, John
dc.contributor.authorWebb, Joanne
dc.contributor.authorWillison, Donald J
dc.date.accessioned2024-01-05T00:19:44Z
dc.date.available2024-01-05T00:19:44Z
dc.date.issued2019-02-12
dc.identifier195693386
dc.identifierea9ed873-ee5b-438f-b9ec-28bbf2c6a5b7
dc.identifier34095528
dc.identifier85071940260
dc.identifier.citationAitken , M , Tully , M P , Porteous , C , Denegri , S , Cunningham-Burley , S , Banner , N , Black , C , Burgess , M , Cross , L , van Delden , J J , Ford , E , Fox , S , Fitzpatrick , N K , Gallacher , K , Goddard , C , Hassan , L , Jamieson , R , Jones , K H , Kaarakainen , M , Lugg-Widger , F , McGrail , K , McKenzie , A , Moran , R , Murtagh , M J , Oswald , M , Paprica , A , Perrin , N , Richards , E V , Rouse , J , Webb , J & Willison , D J 2019 , ' Consensus Statement on Public Involvement and Engagement with Data Intensive Health Research ' , International Journal of Population Data Science , vol. 4 , no. 1 , pp. 586 . https://doi.org/10.23889/ijpds.v4i1.586en
dc.identifier.issn2399-4908
dc.identifier.otherPubMedCentral: PMC8142968
dc.identifier.urihttp://aura-test.abdn.ac.uk/handle/2164/20039
dc.descriptionFunding Statement This project was funded by The Farr Institute of Health Informatics Research. The Farr Institute was supported by a 10-funder consortium: Arthritis Research UK, the British Heart Foundation, Cancer Research UK, the Economic and Social Research Council, the Engineering and Physical Sciences Research Council, the Medical Research Council, the National Institute of Health Research, the National Institute for Social Care and Health Research (Welsh Assembly Government), the Chief Scientist Office (Scottish Government Health Directorates), the Wellcome Trust, (MRC Grant No: MR/M501633/2).en
dc.format.extent1245684
dc.language.isoeng
dc.relation.ispartofInternational Journal of Population Data Scienceen
dc.subjectQ Scienceen
dc.subject.lccQen
dc.titleConsensus Statement on Public Involvement and Engagement with Data Intensive Health Researchen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Institute of Applied Health Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Centre for Health Data Scienceen
dc.contributor.institutionUniversity of Aberdeen.Other Applied Health Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Grampian Data Safe Haven (DaSH)en
dc.contributor.institutionUniversity of Aberdeen.Chronic Disease Research Groupen
dc.contributor.institutionUniversity of Aberdeen.Farr Aberdeenen
dc.contributor.institutionUniversity of Aberdeen.Aberdeen Centre for Health Data Scienceen
dc.description.statusPeer revieweden
dc.identifier.doihttps://doi.org/10.23889/ijpds.v4i1.586
dc.identifier.vol4en
dc.identifier.iss1en


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