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Publication Detail
A novel framework for assessing metadata quality in epidemiological and public health research settings.
  • Publication Type:
    Journal article
  • Publication Sub Type:
  • Authors:
    McMahon C, Denaxas S
  • Publication date:
  • Pagination:
    199, 208
  • Journal:
    AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science
  • Volume:
  • Medium:
  • Language:
  • Addresses:
    Farr Institute of Health Informatics Research; Institute of Health Informatics, University College London, London, United Kingdom.
Metadata are critical in epidemiological and public health research. However, a lack of biomedical metadata quality frameworks and limited awareness of the implications of poor quality metadata renders data analyses problematic. In this study, we created and evaluated a novel framework to assess metadata quality of epidemiological and public health research datasets. We performed a literature review and surveyed stakeholders to enhance our understanding of biomedical metadata quality assessment. The review identified 11 studies and nine quality dimensions; none of which were specifically aimed at biomedical metadata. 96 individuals completed the survey; of those who submitted data, most only assessed metadata quality sometimes, and eight did not at all. Our framework has four sections: a) general information; b) tools and technologies; c) usability; and d) management and curation. We evaluated the framework using three test cases and sought expert feedback. The framework can assess biomedical metadata quality systematically and robustly.
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