Data Mashups: Potential Contribution to Decision Support on Climate Change and Health

International Journal of Environmental Research and Public Health

Lora E. Fleming²  Andy Haines⁴  Brian Golding¹  Anthony Kessel³  Anna Cichowska³  Clive E. Sabel⁵  Michael H. Depledge²  Christophe Sarran¹  Nicholas J. Osborne²  Ceri Whitmore²  Nicola Cocksedge² 

[1] Met Office, Exeter, Devon EX1 3PB, UK; E-Mails:;European Centre for Environment and Human Health, University of Exeter Medical School, Truro, Cornwall TR1 3HD, UK; E-Mails:;Public Health England, London SW1W 9SZ, UK; E-Mails:;London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK; E-Mail:;School of Geographical Sciences, University of Bristol, Bristol BS8 1SS, UK; E-Mail:

关键词: data linkage;    evidence base;    environmental change;    data platforms;    climate change;    surveillance systems;    environmental health;    ecological public health;    big data;    vulnerable populations;   

DOI  :  10.3390/ijerph110201725

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland.