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The Canadian Urban Environmental Health Research Consortium (CANUE)

机译:加拿大城市环境卫生研究联盟(甘蓝)

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CANUE is a Canadian Institutes of Health Research-funded platform for supporting environmental health research. CANUE collates and generates standardized environmental data on air and noise pollution, land use, green/natural spaces, climate change/extreme weather, and socioeconomic conditions for every postal code in Canada and makes them freely available to researchers. A dozen national exposure databases and related metadata files are now available through CANUE, and new regional and national datasets are regularly added to a central database. Streamlined processes for data sharing and integration have been developed to facilitate easy merging with existing observational cohorts and administrative health databases from across Canada. Substantial consultation has also taken place with a wide range of health data holders to establish appropriate processes for receiving and managing environmental data, with particular focus on addressing challenges presented by differing ethics, consent and confidentiality requirements. The CANUE collaborative model illustrates how the scientific potential and cost-effectiveness of environmental health research can be improved through better coordination among researchers and data holders. Processes facilitating the merging of area-level environmental exposure datasets with some of Canada's largest cohort and health databases help accelerate the research process by making analysis-ready data available to investigators, create unprecedented opportunities to study how multiple environmental factors are linked to a wide range of health outcomes, and generally increase the use of health and population databases for environmental health research.
机译:甘蓝是一个加拿大卫生研究资助平台,用于支持环境健康研究。甘蓝整理并在加拿大的每邮政编码的空气和噪声污染,土地使用,绿色/天然空间,气候变化/极端天气以及社会经济条件下进行标准化的环境数据,并使他们自由地提供给研究人员。现在可以通过芯片提供十几个国家曝光数据库和相关元数据文件,并将新的区域和国家数据集定期添加到中央数据库中。已经开发出简化的数据共享和集成的流程,以便于从加拿大跨国公司与现有的观察队队和行政健康数据库易于合并。还有各种健康数据持有人的大量磋商,以确定接收和管理环境数据的适当流程,特别关注解决不同道德,同意和保密要求所提出的挑战。 Canue协作模型说明了通过在研究人员和数据持有者之间更好的协调来改善环境健康研究的科学潜力和成本效益。通过加拿大最大的队列和健康数据库的一些促进面积级环境敞口数据集的流程有助于通过对调查人员提供分析准备的数据,帮助加速研究过程,从而创造前所未有的机会来研究多种环境因素如何与广泛的范围相关联卫生成果,一般增加了健康和人口数据库的环境健康研究。

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