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정보처리관점에서 본 대중의 특성과 공공데이터 플랫폼 설계 시사점에 관한 탐색 연구

An Exploratory Study on the Uniqueness of Crowds and its Implications for Public Data Platform Design from the Information Processing View

  • 김상욱 (충북대학교 경영정보학과) ;
  • 이재숙 (충북대학교 대학원 경영정보학전공)
  • Kim, Sang Wook (Management Information Systems, Chungbuk National University) ;
  • Lee, Jae Sook (Dept. of Management Information Systems, Graduate School, Chungbuk National University)
  • 투고 : 2017.10.01
  • 심사 : 2017.11.20
  • 발행 : 2017.11.28

초록

데이터의 관점이 업무자원을 넘어 새로운 가치자원으로 진화하면서, 그 처리방식의 무게중심도 단순 카테이션(Cartesian) 방식에서 맥락(Context)식별 방식으로 빠르게 전환되고 있다. 이러한 추세에 따라 최근 정부도 공공데이터 개방을 통한 민간 활용 여건 조성에 나서고 있다. 이에 본 연구는 정보처리관점에서 조직원과 대중의 차이를 탐색 차원에서 규명하고, 이를 바탕으로 대중을 대상으로 하는 공공데이터 플랫폼 설계의 기본 방향과 주안점을 제시하고자 하였다. 본 연구는 그간 추상에 머물러 있던 '대중의 집단지성'에서 벗어나 '집단지성 생태계' 조성을 위한 실천적 대안 모색의 시발점이 될 것이며, 공공데이터 개방에 필수적인 빅데이터 기반 구축의 실천적 아이디어로 활용될 수 있을 것이다.

As the viewpoint of data evolves from business resources to value resources, the focus on the data processing is rapidly shifting from the cartesian (alphanumeric) to the contextual. In response to this trend, the government is actively promoting the utilization of public data by the private sectors. With a focus on the fact that the mainstream of public data users is the crowds, this study, therefore, seeks to identify differences between the members and the crowds from information processing view, followed by presenting directions and main points for the design of data platform. This study is perhaps to be a starting point for finding practical alternatives for creating 'collective intelligence ecosystem' and to be a basis for building a big data base in response to the opening of public data.

키워드

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