Data mashups: potential contribution to decision support on climate change and health.
Fleming, Lora E.
International Journal of Environmental Research and Public Health
© 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
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.
UK Medical Research Council
UK Natural Environment Research Council
European Regional Development Fund Programme 2007 to 2013
European Social Fund Convergence Programme for Cornwall and the Isles of Scilly
notes: PMCID: PMC3945564
This is a freely-available open access publication. Please cite the published version which is available via the DOI link in this record.
International Journal of Environmental Research and Public Health, 2014, Vol. 11, Issue 2, pp. 1725 - 1746
Place of publication