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首页> 外文会议>International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management >Looking into Big Data: The Case of the U. S. Federal Government
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Looking into Big Data: The Case of the U. S. Federal Government

机译：调查大数据：美国联邦政府的案例

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摘要

This paper reports on a study that aimed to examine the term big data for its meaning in a particular setting. The study chose the U.S. Federal Government as its case and analysed all the big data projects and programs identified as representative of the U.S. Big Data Initiative. It constructed an analytical framework and generated findings in forms of statistic descriptions and narrative discussions. The study discovered that 1) not all the big data projects and programs possess in a collective manner the typical 3 Vs (i.e., volume, variety, and velocity), 2) variety appears to be the most valued characteristic, and 3) to-be-collected data lags largely behind existing data, indicating that technologies such as the Internet of Things are still at the stage of being developed. It also unrevealed that the U.S. Federal Government's current big data focus is heavily placed on IT and the term big data has made that focus hidden. It then suggests to sufficiently distinguish data and the technologies underlying the various features of data so that collaborations between the owners of data and technologies can be forged with easiness and big data benefits can be realized with efficiency and effectiveness.
机译：本文报告了一项研究，旨在在特定环境中审查其含义的大数据。该研究选择了美国联邦政府作为其案例，并分析了被确定为美国大数据倡议代表的所有大数据项目和方案。它构建了一个分析框架和以统计说明和叙事讨论的形式产生的结果。该研究发现，1）并非所有大数据项目和程序都具有集体方式，典型的3 Vs（即，体积，品种和速度），2）种似乎是最有价值的特征和3）收集的数据在很大程度上滞后于现有数据，表明事情等技术仍处于正在开发的阶段。美国联邦政府目前的大数据焦点也缺乏缺陷，而且大数据一词已经隐藏起来。然后，它建议充分区分数据和数据的各种特征的技术，以便可以使用效率和有效性实现数据和技术业主之间的合作，并且可以利用效率和有效性来实现大数据益处。

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