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A Study on Significant Properties for Dataset Type Preservation Format

데이터세트 유형 전자기록의 필수보존속성 연구

  • 이정은 (전북대학교 기록관리학과, 4단계 BK21사업단) ;
  • 양동민 (전북대학교 기록관리학과, 문화융복합아카이빙연구소)
  • Received : 2023.11.21
  • Accepted : 2023.12.08
  • Published : 2023.12.30

Abstract

This study acknowledges that prevailing regulation concerning for the long-term preservation of electronic records focus mainly on document types, neglecting the preservation of electronic records from various administrative information systems. With the growing interest in data management in the era of big data, it is imperative to establish clear standards for the long-term preservation of datasets. The choice of preservation format for electronic records is based on the specific standards for each type of electronic record. These standards are formulated according to the significant properties relevant to the electronic record type. This study aims to identify the significant properties of electronic records of each record type, before creating specific preservation format selection criteria for these record types. To achieve this, we reviewed and analyzed R&D studies by the National Archives of Korea and the NARA in the United States. As a result of the research, 9 significant properties were identified for database-type entities, and 7 significant properties were identified for structured data-type entities.

본 연구는 이제까지의 전자기록 장기보존 정책이 문서유형 위주의 전자기록에 치중한 점과 다양한 행정정보시스템을 통해 생산되는 문서유형 이외의 전자기록 장기보존에 관한 문제 인식에서 시작되었다. 빅데이터 시대의 도래로 데이터 관리에 관한 관심이 높아지는 시점에서, 데이터세트를 장기적으로 보존하기 위한 고유기준 마련이 필요하다. 전자기록의 보존포맷은 해당 유형 전자기록의 고유기준에 의해 선정되며, 이 고유기준은 전자기록 유형에 따른 필수보존속성을 기준으로 마련된다. 이에 본 연구는 데이터세트 유형의 보존포맷선정 고유기준 마련에 앞서 데이터세트 유형의 전자기록에 관한 필수보존속성을 도출하는데 목적이 있다. 이를 위해 미국 NARA와 국가기록원이 수행한 R&D 연구결과를 비교·분석하였다. 연구의 결과로 데이터베이스형 필수보존속성 9개와 구조화데이터형 필수보존속성 7개를 도출하였다.

Keywords

Acknowledgement

본 연구는 "2023년 행정안전부 국가기록원 기록관리 연구개발사업"의 연구비를 지원받아 수행되었음. 본 연구는 전북대학교 4단계 BK21 대학원혁신지원사업의 지원을 받아 수행된 연구임.

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