Tracing COVID-19 Data: Data and Technological Citizenship during the COVID-19 Pandemic

Tracey P. Lauriault
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引用次数: 0

Abstract

Project Overview / Research Summary: There is much official COVID-19 data reporting by federal, provincial, territorial and Indigenous Communities. As the pandemic evolves, and more information comes to light, there is a call to add data attributes about Indigenous, Black and Racialized groups and of the affected labour force, and to report where cases predominate. The pandemic also revealed that foundational datasets are missing, such as a national list of elder care homes, maps of local health regions and data about the digital divide. This project will embrace technological citizenship, adopt a critical data studies theoretical framework and a data humanitarian approach to rapidly assess data shortfalls, identify standards, and support the building of infrastructure. This involves training students, conducting rapid response research, developing a network of experts, learning by doing and a transdisciplinary team of peer reviewers to assess results. The knowledge will be mobilized in open access blog posts, infographics, policy briefs and scholarly publications.
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追踪COVID-19数据:COVID-19大流行期间的数据和技术公民
项目概述/研究摘要:联邦、省、地区和土著社区提供了大量官方COVID-19数据报告。随着大流行病的发展和更多信息的曝光,呼吁增加关于土著、黑人和种族化群体以及受影响劳动力的数据属性,并报告病例占主导地位的地方。大流行还表明,缺乏基础数据集,例如全国养老院名单、地方卫生区域地图和数字鸿沟数据。该项目将拥抱技术公民,采用关键数据研究理论框架和数据人道主义方法,快速评估数据不足,确定标准,并支持基础设施建设。这包括培训学生、开展快速反应研究、建立专家网络、边做边学以及建立一个跨学科的同行评议小组来评估结果。这些知识将被动员到开放获取的博客文章、信息图表、政策简报和学术出版物中。
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来源期刊
CiteScore
0.30
自引率
0.00%
发文量
4
审稿时长
24 weeks
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