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Data mashups: potential contribution to decision support on climate change and health.

Authors :
Fleming LE
Haines A
Golding B
Kessel A
Cichowska A
Sabel CE
Depledge MH
Sarran C
Osborne NJ
Whitmore C
Cocksedge N
Bloomfield D
Source :
International journal of environmental research and public health [Int J Environ Res Public Health] 2014 Feb 04; Vol. 11 (2), pp. 1725-46. Date of Electronic Publication: 2014 Feb 04.
Publication Year :
2014

Abstract

Linking environmental, socioeconomic and health datasets provides new insights into the potential associations between climate change and human health and wellbeing, and underpins the development of decision support tools that will promote resilience to climate change, and thus enable more effective adaptation. This paper outlines the challenges and opportunities presented by advances in data collection, storage, analysis, and access, particularly focusing on "data mashups". These data mashups are integrations of different types and sources of data, frequently using open application programming interfaces and data sources, to produce enriched results that were not necessarily the original reason for assembling the raw source data. As an illustration of this potential, this paper describes a recently funded initiative to create such a facility in the UK for use in decision support around climate change and health, and provides examples of suitable sources of data and the purposes to which they can be directed, particularly for policy makers and public health decision makers.

Details

Language :
English
ISSN :
1660-4601
Volume :
11
Issue :
2
Database :
MEDLINE
Journal :
International journal of environmental research and public health
Publication Type :
Academic Journal
Accession number :
24499879
Full Text :
https://doi.org/10.3390/ijerph110201725