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An empirical study on data governance: Focusing on structural relationships and effects of components

데이터 거버넌스 실증연구: 구성요소 간 구조적 관계와 영향을 중심으로

  • Yoon, Kun (Department of Public Administration and Data Science, Hanshin University)
  • Received : 2023.03.02
  • Accepted : 2023.05.31
  • Published : 2023.09.30

Abstract

This study aims to investigate empirically the structural relationships among the components of data governance and their impacts on data integration and data-based administration. Through literature review, various definitions, typologies, and case studies of data governance were examined, with the definition of data governance from a public policy perspective developed and applied. The study then analyzed the data from a survey conducted by the Korea Institute of Public Administration on the use of public data policies and confirmed that organizational factors play a mediating role between institutional and technical factors, and that institutional and technical factors have statistically significant positive relationships with data fusion and data-driven administration. Based on these results, interest and investment in the improvement and development of the legal system in data governance from the institutional, technical, and organizational perspective, clarification of means and purposes of data technology, interest in data organizations and human resources, and practical operation can be achieved. Policy implications such as the development of an effective mechanism were presented.

디지털전환과 AI·데이터시대가 심화되면서 데이터의 원활한 흐름과 활용을 위한 데이터 정책, 그리고 그 의사결정 구조로서의 데이터 거버넌스에 대한 관심이 증대되고 있다. 기존의 데이터 거버넌스 연구들을 살펴보면, 데이터 거버넌스 자체의 측정이나 사례 분석은 많이 이루어지고 있으나 실증연구가 부족한 것으로 보인다. 이 논문에서는 데이터 거버넌스의 구성요소 간 구조적 관계와 그것이 목표로 하는 데이터 융합이나 데이터기반행정 등에 미치는 영향을 실증하고자 하였다. 첫째, 데이터 거버넌스에 대한 다양한 정의와 구성요소 및 유형화의 방식, 이를 적용한 선행연구들을 살펴보고, 공공 부문에 특화된 데이터 정책 관점의 정의를 개발하여 적용하였다. 둘째, 분석틀과 가설을 설정하고, 검증을 위해 한국행정연구원의 '공공데이터 정책 활용 실태조사' 자료를 분석하였다. 분석 결과, 데이터 거버넌스 구성요소 중 조직 요소가 제도 요소와 기술 요소 사이에서 매개적 효과를 나타내었고, 제도 요소와 기술 요소가 데이터 융합이나 데이터기반행정에 통계적으로 유의한 긍정적 영향을 미치는 것으로 나타났다. 셋째, 데이터 거버넌스에서 법제도의 개선과 개발에 대한 관심과 투자, 데이터 기술의 수단과 목적에 대한 명확화, 데이터 조직과 인력에 대한 관심과 실제적으로 작동할 수 있는 메커니즘의 개발 등, 몇 가지 중요한 정책적 시사점을 제시하였다.

Keywords

Acknowledgement

This is a study conducted by Hanshin University's intramural research fund support in 2023, and data produced by the Korea Institute of Public Administration were used, and permission was obtained in accordance with its research data management rules.

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