Ecosystem Design of Big Data through Previous Study Analysis in the World : Policy Design for Big Data as Public Goods 

 

HyeJung Moon Ph D. of Public Policy CLI, ILP, SeoulTech Unv. Seoul, South Korea hyejung.moon@gmail.com 

KwanWoo Kim Bachelor of Computer Science Cooperate Lottery Institute Seoul, South Korea kyle_kwkim@naver.com 

SungKyung Kim Master of Public Policy Crossent Seoul, South Korea gbible45@gmail.com  

JangHo Park Master of System Engineering Institute of Lottery Policy Seoul, South Korea zions11@naver.com 

 

Abstract- The purpose of this thesis is to design policies from the standpoint of public goods by analyzing global big data researches around the world.  Analysis showed major research themes related to big data were hadoop, method, analysis, cloud, social, mobile, privacy, health and policy, and we confirmed that these researches are mutually circulated through policy and social. As a result of analyzing the characteristics of each research theme from the point of view of public goods, and structuring it with three criteria of data structure, policy tool and market regulation, an ecosystem that can be managed politically is being constructed by organizing service market based on big data technology and utilizing contents. In order to revitalize the big data market, it is absolutely necessary to participate not only in the technology and service market, but also in the policy makers and data curators at business sector. Therefore, it is necessary to make effort to invest, utilize and manage about big data industry with the perspective of public policy. 

Keywords-big data; network analysis; semantic analysis; public goods; IT policy