Literature DB >> 31641212

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

Mark Birkin1, Emma Wilkins2, Michelle A Morris3.   

Abstract

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.

Entities:  

Mesh:

Year:  2019        PMID: 31641212     DOI: 10.1038/s41366-019-0477-y

Source DB:  PubMed          Journal:  Int J Obes (Lond)        ISSN: 0307-0565            Impact factor:   5.095


  1 in total

1.  A pan-Canadian measure of active living environments using open data.

Authors:  Thomas Hermann; William Gleckner; Rania A Wasfi; Benoît Thierry; Yan Kestens; Nancy A Ross
Journal:  Health Rep       Date:  2019-05-15       Impact factor: 4.796

  1 in total
  1 in total

1.  A systematic review of supermarket automated electronic sales data for population dietary surveillance.

Authors:  Victoria L Jenneson; Francesca Pontin; Darren C Greenwood; Graham P Clarke; Michelle A Morris
Journal:  Nutr Rev       Date:  2022-05-09       Impact factor: 6.846

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.