연구데이터가 급증하면서, 효율적인 데이터처리행위의 방법의 하나로 데이터 큐레이션이 논의되고 있다. 본 연구에서는 향후 데이터 큐레이션의 정책을 수립하고 이를 구축할 때 고려되어야 할 구성요소를 분석하고 체계화하고자 하였다. 연구는 선행연구 및 관련 우수 사례를 분석하는 방법으로 진행되었다. 구체적으로 운영주체의 측면에서 큐레이터, 생산자, 이용자의 역할과 관계를 분석하고, 다음으로 데이터의 Life-cycle에 따른 실행 업무의 내용을 구체적으로 살펴보았다. 또한, 국내외의 데이터 큐레이션 정책 사례를 정리하여 구축과정에서 점검해야 할 필수요소를 정리하였다. 위에서 추출된 필수요소를 토대로 생애주기에 따른 운영주체의 역할을 살펴보았다. 그 결과, 세 운영주체의 공통 역할은 수집대상 평가 및 선별, 데이터 문서화, 수집 체크리스트 작성, 메타데이터 재사용 허가, 데이터 백업, 데이터 평가 및 선별, 데이터 보존기간 선정, 공유방법 그리고 공유 체크리스트 수립 및 작성으로 정리되었다. 본 연구결과는 효율적인 데이터 큐레이션 활동이 이루어질 수 있도록 정책 구축 시 기초데이터로 활용될 수 있을 것이라 기대된다.
Data curation is discussed as one of the methods for efficiently processing the rapid increase of research data. This research encourages the further establishment of further data curation policy, and also analyzes and systemizes components to consider when the policy is established. The research was conducted by analyzing previous research and related outstanding cases. Specifically, in regard to operators, we analyzed the roles and relations of curators, producers, and users. And then we specifically examined the contents of executive tasks according to the data’s Life-cycle. Also, we classified the cases of data curation policy inside and outside of Korea, then summarized essential components to check when establishing the process. Based on the essential factors extracted as above, I examined the role of the operator as charted on life cycle. As a result, the roles commonly found with the three operators include evaluating and screening objects of collection, data documentation, creating collection checklist, allowing reuse of metadata, data backup, data evaluation and screening, setting data retention period, method of sharing, and creating sharing checklist.
Data curation is discussed as one of the methods for efficiently processing the rapid increase of research data. This research encourages the further establishment of further data curation policy, and also analyzes and systemizes components to consider when the policy is established. The research was conducted by analyzing previous research and related outstanding cases. Specifically, in regard to operators, we analyzed the roles and relations of curators, producers, and users. And then we specifically examined the contents of executive tasks according to the data’s Life-cycle. Also, we classified the cases of data curation policy inside and outside of Korea, then summarized essential components to check when establishing the process. Based on the essential factors extracted as above, I examined the role of the operator as charted on life cycle. As a result, the roles commonly found with the three operators include evaluating and screening objects of collection, data documentation, creating collection checklist, allowing reuse of metadata, data backup, data evaluation and screening, setting data retention period, method of sharing, and creating sharing checklist.
