TY - JOUR
T1 - Data mashups
T2 - potential contribution to decision support on climate change and health
AU - Fleming, Lora E.
AU - Haines, Andy
AU - Golding, Brian
AU - Kessel, Anthony
AU - Cichowska, Anna
AU - Sabel, Clive E.
AU - Depledge, Michael H.
AU - Sarran, Christophe
AU - Osborne, Nicholas J.
AU - Whitmore, Ceri
AU - Cocksedge, Nicola
AU - Bloomfield, Daniel
PY - 2014/2/4
Y1 - 2014/2/4
N2 - 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.
AB - 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.
KW - Big data
KW - Climate change
KW - Data linkage
KW - Data platforms
KW - Ecological public health
KW - Environmental change
KW - Environmental health
KW - Evidence base
KW - Surveillance systems
KW - Vulnerable populations
UR - http://www.scopus.com/inward/record.url?scp=84893529585&partnerID=8YFLogxK
U2 - 10.3390/ijerph110201725
DO - 10.3390/ijerph110201725
M3 - Article
C2 - 24499879
AN - SCOPUS:84893529585
SN - 1661-7827
VL - 11
SP - 1725
EP - 1746
JO - International Journal of Environmental Research and Public Health
JF - International Journal of Environmental Research and Public Health
IS - 2
ER -
