论文标题
使用TEEDA中与电晕相关的混乱中未观察到的数据设计的数据请求和方案
Data Requests and Scenarios for Data Design of Unobserved Events in Corona-related Confusion Using TEEDA
论文作者
论文摘要
由于新型冠状病毒的全球暴力行为，各种行业受到影响，并且系统之间的崩溃显而易见。为了理解和克服与冠状病毒传染病引起的这种前所未有的危机有关的现象（Covid-19），跨领域的数据交换和共享的重要性引起了社会关注。在这项研究中，我们使用称为“珍惜数据事务相遇（TEEDA）相遇的交互式平台”来外部化数据用户的数据请求，这是一种工具，不仅可以交换可以提供数据的信息，还可以交换数据用户的呼吁，数据用户想要什么以及目的。此外，我们分析了来自数据请求和研讨会中获得的可提供的数据所引起的与电晕相关的混淆中缺失的数据的特征。我们还创建了三个方案，用于针对变量的未观察到的事件的数据设计。
Due to the global violence of the novel coronavirus, various industries have been affected and the breakdown between systems has been apparent. To understand and overcome the phenomenon related to this unprecedented crisis caused by the coronavirus infectious disease (COVID-19), the importance of data exchange and sharing across fields has gained social attention. In this study, we use the interactive platform called treasuring every encounter of data affairs (TEEDA) to externalize data requests from data users, which is a tool to exchange not only the information on data that can be provided but also the call for data, what data users want and for what purpose. Further, we analyze the characteristics of missing data in the corona-related confusion stemming from both the data requests and the providable data obtained in the workshop. We also create three scenarios for the data design of unobserved events focusing on variables.
