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A novel framework for assessing metadata quality in epidemiological and public health research settings
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 met...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Medical Informatics Association
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5001774/ https://www.ncbi.nlm.nih.gov/pubmed/27570670 |
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author | McMahon, Christiana Denaxas, Spiros |
author_facet | McMahon, Christiana Denaxas, Spiros |
author_sort | McMahon, Christiana |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5001774 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | American Medical Informatics Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-50017742016-08-26 A novel framework for assessing metadata quality in epidemiological and public health research settings McMahon, Christiana Denaxas, Spiros AMIA Jt Summits Transl Sci Proc Articles 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. American Medical Informatics Association 2016-07-20 /pmc/articles/PMC5001774/ /pubmed/27570670 Text en ©2016 AMIA - All rights reserved. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose |
spellingShingle | Articles McMahon, Christiana Denaxas, Spiros A novel framework for assessing metadata quality in epidemiological and public health research settings |
title | A novel framework for assessing metadata quality in epidemiological and public health research settings |
title_full | A novel framework for assessing metadata quality in epidemiological and public health research settings |
title_fullStr | A novel framework for assessing metadata quality in epidemiological and public health research settings |
title_full_unstemmed | A novel framework for assessing metadata quality in epidemiological and public health research settings |
title_short | A novel framework for assessing metadata quality in epidemiological and public health research settings |
title_sort | novel framework for assessing metadata quality in epidemiological and public health research settings |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5001774/ https://www.ncbi.nlm.nih.gov/pubmed/27570670 |
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