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      AI시대 국가기록원 이관전자기록물의 가치 : 기록물의 상황에 대한 분석과 활용 비전을 중심으로

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      https://www.riss.kr/link?id=T17376972

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      다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

      Electronic records produced by central administrative agencies with a retention period of 30 years or longer must be converted into long-term preservation formats (PDF) and packaged as long-term preservation archives (NEO) prior to their transfer to the National Archives of Korea (NAK). Under the Public Records Management Act, electronic records are managed through a structured three-tiered system—comprising records offices, records centers, and permanent archival institutions—mirroring the management framework established for non-electronic records.
      The electronic records transfer system, which has been in operation for over a decade, is currently undergoing a substantial transformation driven by advancements in artificial intelligence (AI), recent amendments to the Enforcement Decree of the Public Records Management Act, and the launch of the Integrated Records Management Service Platform. Within this evolving institutional and technological landscape, this study analyzes the procedures, processes, and outcomes of electronic records transfers to the NAK from the 2014 pilot phase through 2025, focusing specifically on manual inspection practices.
      Manual inspection, conducted exclusively by the NAK, serves as a critical verification stage where individual records are visually examined to ensure integrity and identify anomalies. Despite being resource-intensive, this process remains the most reliable method for guaranteeing the authenticity and completeness of transferred archives. As current inspection standards and anomaly classification frameworks have evolved from accumulated manual expertise, a systematic analysis of this data is essential for institutional benchmarking and the optimization of future transfer protocols.
      This study is significant as it provides the first comprehensive, macro-level analysis of inspection results across all agencies and years—data previously shared only between transferring and receiving institutions. Such empirical analysis is particularly relevant given recent policy shifts, including the 2022 amendment making format conversion optional and the 2025 revision introducing authority-based transfers.
      Methodologically, this study reviews legislative changes to the Enforcement Decree (Articles 32, 35, 36, 40, 44, and 46) and conducts descriptive statistical analysis on a decade of transfer data from the Central Archives Management System (CAMS). Excluding the 2014 pilot and the 2024 system migration period, the data reflects annual averages of approximately 220 agencies and 3.12 million records. The findings indicate that while electronic record production peaked following the 2004 mandatory documentation mandate, anomaly rates have steadily declined. Notably, newer systems like On-nara exhibited significantly lower error rates than legacy systems.
      In alignment with technological progress, the NAK has transitioned from passive preservation to a proactive, utilization-oriented management approach. In 2025, data refinement initiatives addressed persistent issues such as password protection and broken links, leading to a reorganized classification structure. Four new categories—"Unreadable," "Incomplete Content," "Attachment Errors," and "Conversion Verification"—are scheduled for implementation in 2026.
      Ultimately, these records constitute essential administrative and historical evidence for the Republic of Korea. By recognizing that "records are data and data are records," this study emphasizes the value of managing transferred electronic records as big data assets. The verified datasets derived from manual inspections represent high-quality training data for AI-driven archival automation. As AI integration continues, the systematic benchmarking of inspection results will play a pivotal role in redefining the value and utility of electronic records in the digital era.
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      Electronic records produced by central administrative agencies with a retention period of 30 years or longer must be converted into long-term preservation formats (PDF) and packaged as long-term preservation archives (NEO) prior to their transfer to t...

      Electronic records produced by central administrative agencies with a retention period of 30 years or longer must be converted into long-term preservation formats (PDF) and packaged as long-term preservation archives (NEO) prior to their transfer to the National Archives of Korea (NAK). Under the Public Records Management Act, electronic records are managed through a structured three-tiered system—comprising records offices, records centers, and permanent archival institutions—mirroring the management framework established for non-electronic records.
      The electronic records transfer system, which has been in operation for over a decade, is currently undergoing a substantial transformation driven by advancements in artificial intelligence (AI), recent amendments to the Enforcement Decree of the Public Records Management Act, and the launch of the Integrated Records Management Service Platform. Within this evolving institutional and technological landscape, this study analyzes the procedures, processes, and outcomes of electronic records transfers to the NAK from the 2014 pilot phase through 2025, focusing specifically on manual inspection practices.
      Manual inspection, conducted exclusively by the NAK, serves as a critical verification stage where individual records are visually examined to ensure integrity and identify anomalies. Despite being resource-intensive, this process remains the most reliable method for guaranteeing the authenticity and completeness of transferred archives. As current inspection standards and anomaly classification frameworks have evolved from accumulated manual expertise, a systematic analysis of this data is essential for institutional benchmarking and the optimization of future transfer protocols.
      This study is significant as it provides the first comprehensive, macro-level analysis of inspection results across all agencies and years—data previously shared only between transferring and receiving institutions. Such empirical analysis is particularly relevant given recent policy shifts, including the 2022 amendment making format conversion optional and the 2025 revision introducing authority-based transfers.
      Methodologically, this study reviews legislative changes to the Enforcement Decree (Articles 32, 35, 36, 40, 44, and 46) and conducts descriptive statistical analysis on a decade of transfer data from the Central Archives Management System (CAMS). Excluding the 2014 pilot and the 2024 system migration period, the data reflects annual averages of approximately 220 agencies and 3.12 million records. The findings indicate that while electronic record production peaked following the 2004 mandatory documentation mandate, anomaly rates have steadily declined. Notably, newer systems like On-nara exhibited significantly lower error rates than legacy systems.
      In alignment with technological progress, the NAK has transitioned from passive preservation to a proactive, utilization-oriented management approach. In 2025, data refinement initiatives addressed persistent issues such as password protection and broken links, leading to a reorganized classification structure. Four new categories—"Unreadable," "Incomplete Content," "Attachment Errors," and "Conversion Verification"—are scheduled for implementation in 2026.
      Ultimately, these records constitute essential administrative and historical evidence for the Republic of Korea. By recognizing that "records are data and data are records," this study emphasizes the value of managing transferred electronic records as big data assets. The verified datasets derived from manual inspections represent high-quality training data for AI-driven archival automation. As AI integration continues, the systematic benchmarking of inspection results will play a pivotal role in redefining the value and utility of electronic records in the digital era.

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      목차 (Table of Contents)

      • 제1장 서론 1
      • 제1절 연구의 배경과 목적 4
      • 제2절 선행연구 검토 7
      • 제3절 연구의 범위와 방법 13
      • 제1장 서론 1
      • 제1절 연구의 배경과 목적 4
      • 제2절 선행연구 검토 7
      • 제3절 연구의 범위와 방법 13
      • 제2장 국가기록원 전자기록물 이관 18
      • 제1절 전자기록물 이관 절차 및 배경 18
      • (1) 전자기록물 이관업무의 법적 배경 18
      • (2) 전자기록물 이관업무 수행 절차 32
      • (3) 전자기록물 육안검수 사업 현황 37
      • (4) 전자기록물 육안검수 절차 및 방법 39
      • 제2절 전자기록물 이관 현황 47
      • (1) 이관목록 현황 47
      • (2) 생산연도별 현황 53
      • (3) 생산기관 유형별 현황 56
      • (4) 생산시스템별 현황 62
      • 제3절 전자기록물 이관의 미래 66
      • (1) 전자기록물 이관 관련 입법 예고 66
      • (2) 기록물통합서비스플랫폼(RAMP) 구축 69
      • (3) 기록물생산 관리통합시스템(RAMP2.0 or RAMS) 구축 예정 72
      • 제3장 이관전자기록물 상태유형 및 의미 75
      • 제1절 문서오류 79
      • (1)파일손상 79
      • (2)서명누락 83
      • (3)암호입력 85
      • (4) 빈문서 87
      • 제2절 관인이상 89
      • (1) 관인누락 90
      • (2) 관인중복 91
      • (3) 관인위치오류 92
      • 제3절 붙임이상 93
      • (1) 붙임누락 93
      • (2) 붙임별송 94
      • 제4절 기타이상 96
      • (1) 보존포맷미변환 96
      • (2) 내용누락 99
      • (3) 그림손상 100
      • (4) 변환오류 101
      • (5) 확장자이상 107
      • (6) 비공개구분누락 110
      • (7) 본문기타/붙임기타 111
      • 제4장 이관전자기록물 상태분석 및 통계 119
      • 제1절 종합분석 및 통계 119
      • (1) 전체 이상 119
      • (2) 이상 유형별 세부내역 122
      • 제2절 접수년도별 분석 및 통계 126
      • (1) 전체 이상 126
      • (2) 이상 유형별 세부내역 128
      • 제3절 생산년도별 분석 및 통계 136
      • (1) 전체 이상 136
      • (2) 이상 유형별 세부내역 138
      • 제4절 생산시스템별 분석 및 통계 149
      • (1) 구전자문서시스템 150
      • (2) 자료관시스템 152
      • (3) 표준전자문서시스템 154
      • (4) 온나라시스템 156
      • 제5절 생산기관 유형별 분석 및 통계 159
      • (1) 전체 기관 159
      • (2) 기록관 161
      • (3) 특수기록관 163
      • (4) 한시 및 폐지기관 165
      • 제5장 AI시대 이관전자기록물 관리 활용의 방향성과 가치 확장 168
      • 제1절 이관전자기록물 관리의 방향성 169
      • (1) 이상내역 수정 등 데이터 정비 및 상태검사 항목정비 170
      • (2) 이관기록물 관리 관련 각종 시스템 활용 및 고도화 179
      • 제2절 이관전자기록물 활용의 비전 2 185
      • (1) 빅데이터로서의 기록물, 그리고 그 활용 185
      • (2) 데이터 큐레이션과 데이터 융합 창발 190
      • (3) 다양한 디지털 콘텐츠 제작을 위한 이관전자기록물 활용 192
      • 제3절 새로운 관리 활용의 방향과 가치정립 사이의 상승작용 196
      • (1) 국가기록원의 AI 활용 기록물 관리와 기록물 가치 상승 197
      • (2) AI 적용 기록물 관리와 활용의 해외 사례 203
      • 제6장 결론 209
      • 제1절 연구 요약 210
      • 제2절 연구의 의미 및 한계 213
      • 제3절 맺음말 215
      • 참고 문헌 217
      • ABSTRACT 228
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