Data Mashups: Potential Contribution to Decision Support on Climate Change and Health
Data Mashups: Potential Contribution to Decision Support on Climate Change and Health
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DOI：
10.3390/ijerph110201725
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发表时间：
2014-02-01
影响因子：
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通讯作者：
Bloomfield, Daniel
中科院分区：
文献类型：
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作者：
Fleming, Lora E.;Haines, Andy;Bloomfield, Daniel
将环境、社会经济和健康数据集联系起来，为气候变化与人类健康和福祉之间的潜在联系提供了新的见解，并为开发决策支持工具提供了基础，这些工具将促进对气候变化的适应能力，从而使适应工作更加有效。本文概述了数据收集、存储、分析和访问方面的进展所带来的挑战和机遇，特别关注“数据混搭”。这些数据mashup是不同类型和数据源的集成，通常使用开放的应用程序编程接口和数据源，以产生丰富的结果，这些结果不一定是组装原始源数据的原始原因。作为这种潜力的一个例子，本文介绍了最近资助的倡议，在英国创建这样一个设施，用于围绕气候变化和健康的决策支持，并提供了合适的数据来源的例子和目的，他们可以直接，特别是政策制定者和公共卫生决策者。
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.