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빅데이터의 정책적 활용과 과제 : 빅데이터 추진 현황과 정책적 적용 쟁점을 중심으로

원문정보

Policy Implementation and Alternative Policy Options of Big Data : Issues of Present Condition and Policy Application with Big Data

김성우, 정건섭

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초록

영어

The study is concerned with policy implementation and alternative policy options of big data which has characteristics such as volume, velocity, and variability. Nowadays, what is so called, the issue of big data is ubiquitous in recent years, such as openness public data, solving alternatives of social problems using big data, etc. Especially, the role and issue of government will be focused on the application of big data. It is evident that scientific policy implementation and citizens’ administrative convenience should be improved by way of using big data technology in government. Unfortunately, there is no rule out that the gathering and analysis of unreliable big data will cause the error or noise of the policy. In order to reduce the error or noise of the big data related policy, it is necessary to have the expert or specialized person of big data more than anything else. There is no doubt that the number of experts of big data are equal to the regional competitive power in the near future. Notwithstanding, the infrastructure of Information Technology is inferior to the national capital regions; accordingly, the regional governments have to dependent on the central government in terms of the structure in system establishment, analysis, application of big data. This kind of disparity will cause the regional inequality in the era of big data. Therefore, the regional government should foster and support the IT or big data experts with the relation of the regional universities.

목차

Abstract
 Ⅰ. 서론
 Ⅱ. 빅데이터의 및 활용
  1. 빅데이터의 개요
  2. 빅데이터 시장규모
  2. 빅데이터와 정책 활용
  3. 빅데이터 사업의 추진 현황
 Ⅲ. 빅데이터의 활용과 정책추진
  1. 민간부문 빅데이터 활용 사례
  2. 공공분야 빅데이터 사업
 Ⅳ. 빅데이터 활용 쟁점 및 과제
  1. 개인정보 보호의 문제
  2. 빅데이터 수집 및 관리 방법론
  3. 정보의 격차와 정보의 역설
 Ⅴ. 결론
 <참고문헌>

저자정보

  • 김성우 Sung-Woo Kim. 부경대학교 공공정책연구소
  • 정건섭 Kyoun-Sup Chung. 부경대학교 행정학과 교수

참고문헌

자료제공 : 네이버학술정보

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