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Can Researchers Assess the Suitability of Datasets to Answer Their Research Questions, with Access to Metadata Only?
Tilston, George; Williams, Richard; Griffiths, Emily; Al-Adely, Sarah; Lawson-Tovey, Saskia; Hulme, Will; Short, Andrea; Davies, Jim; Welch, James; Peek, Niels.
Afiliación
  • Tilston G; Centre for Health Informatics, Division of Informatics, Imaging, and Data Sciences, School of Health Sciences, The University of Manchester, Manchester, UK.
  • Williams R; NIHR Manchester Biomedical Research Centre, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.
  • Griffiths E; Centre for Health Informatics, Division of Informatics, Imaging, and Data Sciences, School of Health Sciences, The University of Manchester, Manchester, UK.
  • Al-Adely S; NIHR Greater Manchester Patient Safety Translational Research Centre, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.
  • Lawson-Tovey S; Centre for Health Informatics, Division of Informatics, Imaging, and Data Sciences, School of Health Sciences, The University of Manchester, Manchester, UK.
  • Hulme W; NIHR Manchester Biomedical Research Centre, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.
  • Short A; Centre for Epidemiology Versus Arthritis, The University of Manchester, Manchester, UK.
  • Davies J; NIHR Manchester Biomedical Research Centre, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.
  • Welch J; Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, The University of Manchester, Manchester, UK.
  • Peek N; Centre for Health Informatics, Division of Informatics, Imaging, and Data Sciences, School of Health Sciences, The University of Manchester, Manchester, UK.
Stud Health Technol Inform ; 290: 66-70, 2022 Jun 06.
Article en En | MEDLINE | ID: mdl-35672972
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Informática Médica / Metadatos Límite: Humans Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Informática Médica / Metadatos Límite: Humans Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido