大流行中的数据科学

Q2 Computer Science Data Science Journal Pub Date : 2023-01-01 DOI:10.5334/dsj-2023-041
Dennis F. X. Mathaisel
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引用次数: 0

摘要

数据科学有可能为人类提供对大流行期间收集的大量数据的关键见解。2019冠状病毒病大流行提供了这一机会,在这一困难时期,数据科学迅速、可靠、有效和频繁地为国际受众提供了支持。最重要的贡献是数据可视化和数据仪表板,然而,其他工具,如预测和规范分析,对这项工作同样至关重要。大流行开始时的当务之急是迅速向公民、政府和机构传达信息。从传统的统计度量和表格到数据可视化的模式变化非常重要,对很多人都很有帮助。本文通过展示作者如何通过生成数据可视化和仪表板展开COVID-19故事,并向社区提供对生成这些可视化脚本的开源访问,回顾了这些贡献。对(R语言)脚本的开源访问反映了本文在文献中的新颖性。作者使用来自多个来源的公开可用数据集,并使用R工具包,验证了数据科学在大流行中可以发挥的作用,并且可以由具有脚本语言(如R)基础知识的任何人实施。其目的是向社区提供这些有价值的工具,并在出现另一场危机时展示它们的有效性。
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Data Science in a Pandemic
Data Science has the potential to provide humanity with critical insight into the massive data being collected during a pandemic. The COVID-19 pandemic presented that opportunity, and Data Science supported an international audience promptly, reliably, effectively, and frequently during that difficult time. The most significant contributions were data visualizations and data dashboards, however, other tools, such as predictive and prescriptive analytics, were equally critical to the effort. The urgency at the start of the pandemic was to quickly communicate information to citizens, governments, and institutions. The change in modality from traditional statistical metrics and tables to data visualizations was extremely significant and helpful to so many. This paper reviews these contributions by demonstrating how the COVID-19 story unfolded through author-generated data visualizations and dashboards, and by providing the community with open-source access to the scripts that generated these visualizations. The open-source access to the (R language) scripts reflects this article’s novelty in the literature. Using publicly available datasets from multiple sources, and employing R toolkits, the author validates the role that Data Science can play in a pandemic, and that can be implemented by anyone with some basic knowledge of scripting languages, like R. The intent is to provide these valuable tools to the community and to demonstrate their effectiveness in the likely event when there is another crisis.
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来源期刊
Data Science Journal
Data Science Journal Computer Science-Computer Science (miscellaneous)
CiteScore
5.40
自引率
0.00%
发文量
17
审稿时长
10 weeks
期刊介绍: The Data Science Journal is a peer-reviewed electronic journal publishing papers on the management of data and databases in Science and Technology. Details can be found in the prospectus. The scope of the journal includes descriptions of data systems, their publication on the internet, applications and legal issues. All of the Sciences are covered, including the Physical Sciences, Engineering, the Geosciences and the Biosciences, along with Agriculture and the Medical Science. The journal publishes papers about data and data systems; it does not publish data or data compilations. However it may publish papers about methods of data compilation or analysis.
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