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

Clicks: 365
ID: 63076
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #5 of 40 articles by views in international journal of obesity (2005)

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
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.
Reference Key
birkin2019creatinginternational Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Birkin, Mark;Wilkins, Emma;Morris, Michelle A;
Journal international journal of obesity (2005)
Year 2019
DOI
10.1038/s41366-019-0477-y
URL
Keywords
accelerometry big data digital medicine gait analysis wearable

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.