Advancing Population Health Through Open Environmental Data Platforms.

Mohammad Noaeen, Dany Doiron, Joey Syer, Jeffrey Brook
{"title":"Advancing Population Health Through Open Environmental Data Platforms.","authors":"Mohammad Noaeen, Dany Doiron, Joey Syer, Jeffrey Brook","doi":"10.1007/7854_2024_512","DOIUrl":null,"url":null,"abstract":"<p><p>Data stand as the foundation for studying, evaluating, and addressing the multifaceted challenges within environmental health research. This chapter highlights the contributions of the Canadian Urban Environmental Health Research Consortium (CANUE) in generating and democratizing access to environmental exposure data across Canada. Through a consortium-driven approach, CANUE standardizes a variety of datasets - including air quality, greenness, neighborhood characteristics, and weather and climatic factors - into a centralized, analysis-ready, postal code-indexed database. CANUE's mandate extends beyond data integration, encompassing the design and development of environmental health-related web applications, facilitating the linkage of data to a wide range of health databases and sociodemographic data, and providing educational training and events such as webinars, summits, and workshops. The operational and technical aspects of CANUE are explored in this chapter, detailing its human resources, data sources, computational infrastructure, and data management practices. These efforts collectively enhance research capabilities and public awareness, fostering strategic collaboration and generating actionable insights that promote physical and mental health and well-being.</p>","PeriodicalId":11257,"journal":{"name":"Current topics in behavioral neurosciences","volume":" ","pages":"297-323"},"PeriodicalIF":0.0000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current topics in behavioral neurosciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/7854_2024_512","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Neuroscience","Score":null,"Total":0}
引用次数: 0

Abstract

Data stand as the foundation for studying, evaluating, and addressing the multifaceted challenges within environmental health research. This chapter highlights the contributions of the Canadian Urban Environmental Health Research Consortium (CANUE) in generating and democratizing access to environmental exposure data across Canada. Through a consortium-driven approach, CANUE standardizes a variety of datasets - including air quality, greenness, neighborhood characteristics, and weather and climatic factors - into a centralized, analysis-ready, postal code-indexed database. CANUE's mandate extends beyond data integration, encompassing the design and development of environmental health-related web applications, facilitating the linkage of data to a wide range of health databases and sociodemographic data, and providing educational training and events such as webinars, summits, and workshops. The operational and technical aspects of CANUE are explored in this chapter, detailing its human resources, data sources, computational infrastructure, and data management practices. These efforts collectively enhance research capabilities and public awareness, fostering strategic collaboration and generating actionable insights that promote physical and mental health and well-being.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
通过开放式环境数据平台促进人口健康。
数据是研究、评估和应对环境健康研究中多方面挑战的基础。本章重点介绍了加拿大城市环境健康研究联合会(CANUE)在加拿大全国范围内生成环境暴露数据并实现数据获取民主化方面所做的贡献。通过联盟驱动的方法,加拿大城市环境健康研究联盟将各种数据集(包括空气质量、绿化、社区特征以及天气和气候因素)标准化,并将其整合到一个集中的、可用于分析的邮政编码索引数据库中。CANUE 的任务不仅限于数据整合,还包括设计和开发与环境健康相关的网络应用程序,促进数据与各种健康数据库和社会人口数据的链接,并提供教育培训和活动,如网络研讨会、峰会和讲习班。本章将探讨 CANUE 的运行和技术方面,详细介绍其人力资源、数据来源、计算基础设 施和数据管理实践。这些工作共同提高了研究能力和公众意识,促进了战略合作,并产生了促进身心健康和福祉的可行见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Current topics in behavioral neurosciences
Current topics in behavioral neurosciences Neuroscience-Behavioral Neuroscience
CiteScore
4.80
自引率
0.00%
发文量
103
期刊最新文献
Computational Mechanisms of Information-Seeking in Anxiety. Fear and Anxiety in Schizophrenia: A Focus on Development, Assessment, and Mechanisms. Genetic Tools in Rodents to Study Cannabinoid Functions. Fears Worth Testing Out: A Systematic Review of the Neural Mechanisms of Treatment Outcome for Anxiety-Related Disorders. Sensory Processing and Anxiety: Within and Beyond the Autism Spectrum.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1