网络上数据利用与协作的初步案例研究

Daiji Iwasa
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引用次数: 0

摘要

最近,由于物联网(IoT)技术的进步,数据持有者收集各种数据。另一方面,由于分析方法/工具的普及和强大的计算能力,数据分析甚至可以观察到大数据。加速数据利用的关键点是数据利益相关者之间的沟通。数据分析师应该考虑数据持有者收集数据的目的。然而,利益相关者之间的沟通是困难的,如果他们中的一些人不熟悉数据。数据夹克创新者市场(IMDJ)[5]是解决这个问题的一个研讨会方法。在IMDJ研讨会中,参与者陈述他们的需求,并基于Data jacket创建解决这些需求的场景。Data Jacket (DJ)[4]是一个用自然语言描述有关数据的结构化信息的框架,它使不熟悉数据的人能够基于数据进行讨论。在本文中,我们介绍了一个名为web -IMDJ的平台,用于在网络上进行IMDJ研讨会。Web-IMDJ不仅减轻了研讨会的负担,而且使远程参与研讨会成为可能。通过对Web-IMDJ研讨会的案例研究,我们发现,在Web-IMDJ中,与会者的想法数量与以前的IMDJ一样多,而且他们的能力也比以前的Web-IMDJ要好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Preliminary Case Study on Data Utilization and Collaboration on the Web
Recently, data holders collect various kinds of data owing to the improvement of Internet of Things (IoT) technologies. On the other hand, data analytic can observe even large data owing to the spread of analysis methods/tools and strong computing power. The critical point for accelerating data utilization is the communication of data stakeholders. Data analysts should consider the purpose for which data holders collect data. However, the communication among stakeholders is hard in case some of them are not familiar with data. Innovators Marketplace on Data Jackets (IMDJ) [5] is a workshop method to tackle this problem. In IMDJ workshop, participants state their requirements and create a scenario for solving these requirements based on Data Jackets. Data Jacket (DJ) [4] is a framework to describe structured information about data in natural language, which enable for those who are not familiar with data to discuss based on data. In this paper, we introduce a platform called Web-IMDJ for conducting IMDJ workshop on the web. Web-IMDJ not only reduces the burden of workshops but enables to participate in workshop remotely. By conducting workshop on Web-IMDJ as case study, we found that the number of ideas is as many as previous IMDJ and the capacity of participants is superior in Web-IMDJ.
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