Promise and pitfalls in the application of big data to occupational and environmental health

Stieb, David; Boot, Cécile R.; Turner, Michelle C.

Home
→
Recerca: articles, congressos, llibres
→
Barcelona Institute for Global Health (ISGlobal) – Campus Mar
→
Articles (Barcelona Institute for Global Health (ISGlobal) – Campus Mar)
→
View Item

Promise and pitfalls in the application of big data to occupational and environmental health

Document Type: Article

Version: Published version

Date: 2017

This document is associated with a Creative Common license

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Name: Stieb_bmcph_prom.pdf

Size: 355.1Kb

Format: PDF

View/Open

Citation: Stieb DM, Boot CR, Turner MC. Promise and pitfalls in the application of big data to occupational and environmental health. BMC Public Health. 2017 Dec;17(1):372. DOI: 10.1186/s12889-017-4286-8

Permanent link: http://hdl.handle.net/10230/68250

Abstract:

Is “big data” merely a catchphrase, or does the approach hold real promise in informing occupational and environmental health? Can challenges related to messy and unrepresentative data and spurious findings be overcome?

Author: Stieb, David ; Boot, Cécile R. ; Turner, Michelle C.

DOI: http://dx.doi.org/10.1186/s12889-017-4286-8

Show full item record