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

Lora E. Fleming, Andy Haines, Brian Golding, Anthony Kessel, Anna Cichowska, Clive E. Sabel, Michael H. Depledge, Christophe Sarran, Nicholas J. Osborne, Ceri Whitmore, Nicola Cocksedge, Daniel Bloomfield

Research output: Contribution to journalArticlepeer-review

32 Citations (Scopus)
19 Downloads (Pure)


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 theoriginal 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.

Original languageEnglish
Pages (from-to)1725-1746
Number of pages22
JournalInternational Journal of Environmental Research and Public Health
Issue number2
Publication statusPublished - 4 Feb 2014
Externally publishedYes


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