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Big Data and Policy Design for Data Sovereignty: A Case Study on Copyright and CCL in South Korea

机译:数据主权的大数据和政策设计:韩国版权和CCL案例研究

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The purpose of this paper is as follows. First, I am trying to conceptualize big data as a social problem. Second, I would like to explain the difference between big data and conventional mega information. Third, I would like to recommend the role of the government for utilization of big data as a policy tools. Fourth, while referring to copyright and CCL(Creative Commons License) cases, I would like to explain the regulation for big data on data sovereignty. Finally, I would like to suggest a direction of policy design for big data. As for the result of this study, policy design for big data should be distinguished from policy design for mega information to solve data sovereignty issues. From a law system perspective, big data is generated autonomously. It has been accessed openly and shared without any intention. In market perspective, big data is created without any intention. Big data can be changed automatically in case of openness with reference feature such as Linked of Data. Some policy issues such as responsibility and authenticity should be raised. Big data is generated in a distributed and diverse way without any concrete form in technology perspective. So, we need a different approach.
机译:本文的目的如下。首先,我正试图将大数据概念化为社会问题。其次,我想解释大数据和传统的大型信息之间的区别。第三,我想推荐政府的作用,以利用大数据作为政策工具。第四,虽然提到版权和CCL(CORNIVE Commons许可)案件,我想解释关于数据主权的大数据的规定。最后,我想建议大数据的政策设计方向。至于本研究结果,应与大型信息的政策设计区分解大数据的政策设计,以解决数据主权问题。从法律系统的角度来看,大数据是自主生成的。它已被公开访问并分享而无需任何意图。在市场的角度下,建立大数据而没有任何意图。在具有诸如数据链接的引用功能的开放性的情况下,可以自动更改大数据。应提出一些责任和真实性等政策问题。大数据以分布式和多样的方式生成,无需技术视角下的任何具体形式。所以,我们需要一种不同的方法。

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