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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
Health research increasingly requires effective ways to identify existing datasets and assess their suitability for research. We sought to test whether researchers could use an existing metadata catalogue to assess the suitability of datasets for addressing specified research questions. Five datasets were described in the National Institute for Health Research Health Informatics Collaborative metadata catalogue, and for each dataset five associated research questions were formulated, some of which were answerable with the dataset while others were not. Thirteen researchers each assessed whether the ten questions associated with two randomly selected datasets were answerable with the described datasets. After removing instances where participants misunderstood the question or lacked subject matter knowledge to make the assessment, we found that 87 out of 109 assessments (80%) were correct. Participants particularly struggled with one dataset which consisted of EHR data. The most common reason for incorrect assessments was the inability to find the relevant information in the metadata catalogue.
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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

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
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