The Emergence and Future of Public Health Data Science

Data science is a newly‐formed and, as yet, loosely‐defined discipline that has nonetheless emerged as a critical component of successful scientific research. We seek to provide an understanding of the term “data science,” particularly as it relates to public health; to identify ways that data scien...

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Detalles Bibliográficos
Autores principales: Goldsmith, Jeff, Sun, Yifei, Fried, Linda P., Wing, Jeannette, Miller, Gary W., Berhane, Kiros
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Society Journal Archive
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8378512/
https://www.ncbi.nlm.nih.gov/pubmed/34692178
http://dx.doi.org/10.3389/phrs.2021.1604023
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author Goldsmith, Jeff
Sun, Yifei
Fried, Linda P.
Wing, Jeannette
Miller, Gary W.
Berhane, Kiros
author_facet Goldsmith, Jeff
Sun, Yifei
Fried, Linda P.
Wing, Jeannette
Miller, Gary W.
Berhane, Kiros
author_sort Goldsmith, Jeff
collection PubMed
description Data science is a newly‐formed and, as yet, loosely‐defined discipline that has nonetheless emerged as a critical component of successful scientific research. We seek to provide an understanding of the term “data science,” particularly as it relates to public health; to identify ways that data science methods can strengthen public health research; to propose ways to strengthen education for public health data science; and to discuss issues in data science that may benefit from a public health perspective.
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spelling pubmed-83785122021-10-21 The Emergence and Future of Public Health Data Science Goldsmith, Jeff Sun, Yifei Fried, Linda P. Wing, Jeannette Miller, Gary W. Berhane, Kiros Public Health Rev Society Journal Archive Data science is a newly‐formed and, as yet, loosely‐defined discipline that has nonetheless emerged as a critical component of successful scientific research. We seek to provide an understanding of the term “data science,” particularly as it relates to public health; to identify ways that data science methods can strengthen public health research; to propose ways to strengthen education for public health data science; and to discuss issues in data science that may benefit from a public health perspective. Frontiers Media S.A. 2021-04-26 /pmc/articles/PMC8378512/ /pubmed/34692178 http://dx.doi.org/10.3389/phrs.2021.1604023 Text en Copyright © 2021 Goldsmith, Sun, Fried, Wing, Miller and Berhane. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. PHR is edited by the Swiss School of Public Health (SSPH+) in a partnership with the Association of Schools of Public Health of the European Region (ASPHER)+
spellingShingle Society Journal Archive
Goldsmith, Jeff
Sun, Yifei
Fried, Linda P.
Wing, Jeannette
Miller, Gary W.
Berhane, Kiros
The Emergence and Future of Public Health Data Science
title The Emergence and Future of Public Health Data Science
title_full The Emergence and Future of Public Health Data Science
title_fullStr The Emergence and Future of Public Health Data Science
title_full_unstemmed The Emergence and Future of Public Health Data Science
title_short The Emergence and Future of Public Health Data Science
title_sort emergence and future of public health data science
topic Society Journal Archive
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8378512/
https://www.ncbi.nlm.nih.gov/pubmed/34692178
http://dx.doi.org/10.3389/phrs.2021.1604023
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