Creating a long-term future for big data in obesity research.


Journal

International journal of obesity (2005)
ISSN: 1476-5497
Titre abrégé: Int J Obes (Lond)
Pays: England
ID NLM: 101256108

Informations de publication

Date de publication:
12 2019
Historique:
received: 30 07 2019
accepted: 04 10 2019
revised: 02 10 2019
pubmed: 24 10 2019
medline: 14 7 2020
entrez: 24 10 2019
Statut: ppublish

Résumé

Big data are part of the future in obesity research. The ESRC funded Strategic Network for Obesity has together generated a series of papers, published in the International Journal for Obesity illustrating various aspects of their utility, in particular relating to the large social and environmental drivers of obesity. This article is the final part of the series and reflects upon progress to date and identifies four areas that require attention to promote the continued role of big data in research. We additionally include a 'getting started with big data' checklist to encourage more obesity researchers to engage with alternative data resources.

Identifiants

pubmed: 31641212
doi: 10.1038/s41366-019-0477-y
pii: 10.1038/s41366-019-0477-y
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2587-2592

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Auteurs

Mark Birkin (M)

Leeds Institute for Data Analytics & School of Geography, University of Leeds, Leeds, LS2 9JT, United Kingdom.

Emma Wilkins (E)

Leeds Institute for Data Analytics & School of Medicine, University of Leeds, Leeds, LS2 9JT, United Kingdom.

Michelle A Morris (MA)

Leeds Institute for Data Analytics & School of Medicine, University of Leeds, Leeds, LS2 9JT, United Kingdom. m.morris@leeds.ac.uk.

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