COVID-Vis: Visualizing knowledge exchange on scientific software development in the COVID-19 era

Konstantinos Papageorgiadis, Konstantinos Georgiou, Konstantinos Charmanas, N. Mittas, L. Angelis
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Abstract

As the world is still recovering from the detrimental effects of the COVID-19 pandemic, one key aspect of the pandemic era were the global efforts for containment, case tracking and several other factors. While the scientific and governmental initiatives were largely successful and effective, a notable surge was observed in contributions from individuals and programming communities that developed their own software for COVID-19 by using data retrieval and analysis along with visualization methodologies. To achieve their goals, they turned their attention to knowledge exchange portals and asked questions regarding technological queries. In this paper, we present a collective platform that retrieves such questions from a well-known Q&A portal and visualizes the contained information. This platform serves as a useful tool for assessing programming and technological interest in COVID-19 related software development efforts while also promoting the open science principles.
COVID-Vis:可视化新冠肺炎时代软件科学开发知识交流
由于世界仍在从COVID-19大流行的有害影响中恢复过来,大流行时代的一个关键方面是全球在遏制、病例追踪和其他几个方面所做的努力。虽然科学和政府举措在很大程度上取得了成功和效果,但通过使用数据检索和分析以及可视化方法开发自己的COVID-19软件的个人和编程社区的贡献显著增加。为了实现他们的目标,他们将注意力转向了知识交流门户,并提出了有关技术问题的问题。在本文中,我们提出了一个集合平台,从一个知名的问答门户网站检索这些问题,并将所包含的信息可视化。该平台是评估COVID-19相关软件开发工作中编程和技术兴趣的有用工具,同时也促进了开放科学原则。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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