Can big data solve a big problem? Reporting the obesity data landscape in line with the Foresight obesity system map

Morris, MA orcid.org/0000-0002-9325-619X, Wilkins, E, Timmins, KA et al. (3 more authors) (2018) Can big data solve a big problem? Reporting the obesity data landscape in line with the Foresight obesity system map. International Journal of Obesity, 42. pp. 1963-1976. ISSN 0307-0565

Abstract

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Copyright, Publisher and Additional Information: © 2018, The Author(s). This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Dates:
  • Accepted: 9 April 2018
  • Published (online): 21 September 2018
  • Published: 21 September 2018
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Centre for Spatial Analysis & Policy (Leeds)
The University of Leeds > Faculty of Medicine and Health (Leeds) > Institute of Molecular Medicine (LIMM) (Leeds) > Section of Translational Medicine (Leeds)
The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Inst of Clinical Trials Research (LICTR) (Leeds)
Funding Information:
FunderGrant number
ESRCES/N00941X/1
Depositing User: Symplectic Publications
Date Deposited: 16 Jul 2018 14:13
Last Modified: 29 Jun 2020 13:36
Status: Published
Publisher: Springer Nature
Identification Number: https://doi.org/10.1038/s41366-018-0184-0

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