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Using systematic data categorisation to quantify the types of data collected in clinical trials : the DataCat project

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dc.contributor.authorCrowley, Evelyn
dc.contributor.authorTreweek, Shaun
dc.contributor.authorBanister, Katie
dc.contributor.authorBreeman, Suzanne
dc.contributor.authorConstable, Lynda
dc.contributor.authorCotton, Seonaidh
dc.contributor.authorDuncan, Anne
dc.contributor.authorEl Feky, Adel
dc.contributor.authorGardner, Heidi
dc.contributor.authorGoodman , Kirsteen
dc.contributor.authorLanz, Doris
dc.contributor.authorMcDonald, Alison
dc.contributor.authorOgburn, Emma
dc.contributor.authorStarr, Kath
dc.contributor.authorStevens, Natasha
dc.contributor.authorValente, Marie
dc.contributor.authorFernie, Gordon
dc.contributor.institutionUniversity of Aberdeen.Aberdeen Centre for Evaluationen
dc.contributor.institutionUniversity of Aberdeen.Institute of Applied Health Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Medicine, Medical Sciences & Nutritionen
dc.contributor.institutionUniversity of Aberdeen.Academic Urology Uniten
dc.date.accessioned2020-06-17T10:55:01Z
dc.date.available2020-06-17T10:55:01Z
dc.date.issued2020-06-16
dc.descriptionWe would like to thank Joanne Palmer and all attendees of the 2015 workshop at the UK Trial Managers’ Network meeting. We thank all Chief Investigators of the trials in our sample for giving their permission to use their trial data collections forms in our analysis: Annie S Anderson (ActWELL), Doreen McClurg (AMBER), Charles Knowles (CONFIDeNT), Augusto AzuaraBlanco (EAGLE), Frank Sullivan (ECLS), Shakila Thangaratinam (EMPiRE), Kevin Cooper (HEALTH), Eugene Dempsey (HIP), Craig Ramsay (iQUAD), Ian Reid (KANECT), David Murray (KAT), Saruban Pasu (PIMS), Khalid S Khan (SALVO), Robert Pickard (SUSPEND), Anthony King (TAGS), Graham Devereux (TWICS), Adrian R Martineau (ViDiFlu), Charis Glazener (VUE). Similarly, we thank the funders of all the trials: Chief Scientist Office (CSO), Scottish Government Health Directorate; CSO, Scottish Government and Oncimmune Ltd; European Commission within the Seventh Framework Programme; National Institute for Health Research - Efficacy and Mechanism Evaluation (NIHR-EME); National Institute for Health Research - Health Technology Assessment (NIHR-HTA) programme; National Institute for Health Research - Programme Grants for Applied Research (NIHR-PGAR); the Scottish Government. The Health Services Research Unit, University of Aberdeen, receives core funding from the CSO of the Scottish Government Health Directorates.en
dc.description.statusPeer revieweden
dc.format.extent10
dc.format.extent1518132
dc.identifier162602196
dc.identifier3a9c4d19-a6f9-4f6e-9172-e7aca784cd17
dc.identifier85086686457
dc.identifier32546192
dc.identifier000542766700007
dc.identifier.citationCrowley, E, Treweek, S, Banister, K, Breeman, S, Constable, L, Cotton, S, Duncan, A, El Feky, A, Gardner, H, Goodman , K, Lanz, D, McDonald, A, Ogburn, E, Starr, K, Stevens, N, Valente, M & Fernie, G 2020, 'Using systematic data categorisation to quantify the types of data collected in clinical trials : the DataCat project', Trials, vol. 21, no. 1, 535, pp. 535. https://doi.org/10.1186/s13063-020-04388-xen
dc.identifier.doi10.1186/s13063-020-04388-x
dc.identifier.iss1en
dc.identifier.issn1745-6215
dc.identifier.otherSCOPUS: 85086686457
dc.identifier.otherORCID: /0000-0001-9646-3904/work/93483387
dc.identifier.otherORCID: /0000-0002-2189-3755/work/98344088
dc.identifier.otherORCID: /0000-0002-2796-6898/work/118192870
dc.identifier.otherORCID: /0000-0002-7239-7241/work/186968375
dc.identifier.urihttps://hdl.handle.net/2164/14515
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85086686457&partnerID=8YFLogxKen
dc.identifier.vol21en
dc.language.isoeng
dc.relation.ispartofTrialsen
dc.subjectPROTOCOLen
dc.subjectIMPACTen
dc.subjectR Medicine (General)en
dc.subjectPharmacology (medical)en
dc.subjectMedicine (miscellaneous)en
dc.subjectSupplementary Dataen
dc.subject.lccR1en
dc.titleUsing systematic data categorisation to quantify the types of data collected in clinical trials : the DataCat projecten
dc.typeJournal articleen

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