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행정정보 데이터세트 이관도구 SIARD_KR의 개선방안

Improvement of Administration Information Dataset Transfer Tools 'SIARD_KR'

  • 변우영 (명지대학교 기록정보관리학과) ;
  • 임진희 (명지대학교 기록정보과학전문대학원)
  • 투고 : 2022.02.14
  • 심사 : 2022.03.10
  • 발행 : 2022.03.30

초록

SIARD_KR은 스위스 연방 기록보존소에서 개발한 관계형 데이터베이스 컨텐츠의 장기보존에 이용하는 기술인 SIARD를 우리나라의 실정에 맞게 일부 수정한 행정정보 데이터세트 보존 도구이다. 기존의 선행연구는 SIARD가 얼마나 관계형 데이터베이스안에 들어있는 모든 데이터를 손실 없이 잘 추출할 수 있는지에 초점이 맞춰져 있다. 하지만 데이터베이스에 들어있는 데이터 전부가 의미 있는 정보, 즉 행정정보 데이터세트는 아니다. 따라서 이 논문은 SIARD_KR이 행정정보 데이터세트의 특성을 반영하고 있는가에 대한 문제의식에서 시작한다. SIARD_KR이 단순히 DB에 저장된 데이터를 추출하는 도구가 아니고 의미 있는 정보만을 식별하여 추출할 수 있을지, 본래의 시스템에서 유리되어도 의미 있는 정보를 유지할 수 있을지 확인하려 한다. 본 논문은 SIARD_KR의 구조를 분석하고, 예상되는 문제점을 도출하여 그에 대한 개선방안을 제시하는 것을 목적으로 한다.

SIARD_KR is an administrative information dataset preservation tool. It is a partially modified version of SIARD, technology used for long-term preservation of relational databases developed by the Swiss Federal Archives, to suit Korea's situation better. Previous studies have focused on how SIARD is able to effectively extract all data contained in the relational database without loss. However, not all data contained in the database is meaningful information, that is, an administrative information dataset. This paper began, therefore, with the awareness of the problem of whether SIARD_KR reflects the characteristics of the administrative information dataset. SIARD_KR is not only a tool for extracting data stored in the DB. We want to see if it is capable of identifying and extracting only meaningful information, and maintaining meaningful information, even if it is separated from the original system. The purpose of this paper is to analyze the structure of SIARD_KR, identify expected problems, and suggest improvement measures for them.

키워드

참고문헌

  1. Cho, Eun-Hee & Yim, Jin-Hee (2009). A study on record selection strategy and procedure in dataset for administrative information. The Korean Journal of Archival Studies, 19, 251-291. https://doi.org/10.20923/KJAS.2009.19.251
  2. Chungnam National University (2015). A Research on Dataset Structure Analysis and Record Management Functional Model for Assurance Record Authority. Ministry of the Interior and Safety. https://doi.org/10.23000/TRKO201600002968
  3. Han, Hui-Jeong, Yoon, Sung-Ho, Oh, Hyo-Jung, & Yang, Dongmin (2020). Empirical verification of conversion and restoration of preservation format for dataset: application of dataset with disaster safety information to SIARD. Journal of the Korean Society for Information Management, 37(2), 251-284. https://doi.org/10.3743/KOSIM.2020.37.2.251
  4. Hwang, Jin-Hyun, Baek, Young-Mi, & Yim, Jin-Hee (2021). Study on public institution dataset identification and evaluation process: focusing on the case of KR electronic procurement system. The Korean Journal of Archival Studies, 70, 41-83. https://doi.org/10.20923/KJAS.2021.70.041
  5. Kim Ju-Yeon (2020). A Study on the Long-term Preservation of Administrative Information Datasets Using SIARD. Master thesis, Graduate School of Records, Archives & Information Science, Myongji University.
  6. Lee, Kyuchul (2016). Understanding of the administrative information system dataset and considerations for record management. Record Management Standard·Governance Forum Data Collection, 72-78.
  7. Lee, Kyung-Nam, Choi, Kwang-Hoon, & Yim, Jin-Hee (2021). A study on the role of records center for dataset records management: focused on case study of KR project management system. Journal of the Korean Society for Information Management, 38(3), 263-285. https://doi.org/10.3743/KOSIM.2021.38.3.263
  8. National Archives of Korea (2019). Study on Long-term Preservation Technology of Dataset-type Electronic Records.
  9. National Archives of Korea (2020a). Record Keeping Criteria for Dataset - Composition of Dataset Management Reference Table & Exchange of Dataset - Version 1.0
  10. National Archives of Korea (2020b). Report on the Results of the 2020 Administrative Information Data Set Record Management Project.
  11. Noh, Meung-Hoan (2020). The way for data archive and records/archive management in the 4th industrial revolution era: critical reviews and mid- and long-term proposals for the national archives' administrative information dataset records/archive management implementation plan. The Korean Journal of Archival, Information and Cultural Studies, 1, 7-44. https://data.doi.or.kr/10.23035/kaics.2020.1.11.007
  12. Oh, Seh-La & Rieh, Hae-Young (2019). Managing data set in administrative information systems as records. Journal of Korean Society of Archives and Records Management, 19(2), 51-76. https://doi.org/10.14404/JKSARM.2019.19.2.051
  13. Oh, Seh-La, Park, Seung-Hoon, & Yim, Jin-Hee (2018). A case study of dataset records in information management system. Journal of Korean Society of Archives and Records Management, 18(2), 109-133. https://doi.org/10.14404/JKSARM.2018.18.2.109
  14. Ryu, Han-Jo, Baek, Young-Mi, & Yim, Jin-Hee (2021). A study on the functional requirements of record production system for dataset: focused on case study of KR asset management system. The Korean Journal of Archival Studies, 70, 5-40. https://doi.org/10.20923/KJAS.2021.70.005
  15. Seo, Jiin (2020). A study on the improvement of data set management in government information systems: a comparison with public data. Journal of Korean Society of Archives and Records Management, 20(4), 41-58. https://doi.org/10.14404/JKSARM.2020.20.4.041
  16. Song, Chiho & Yim, Jin-Hee (2022). A study on data quality evaluation of administrative information dataset. The Korean Journal of Archival Studies, 71, 237-272. https://data.doi.or.kr/10.20923/kjas.2022.71.237
  17. Wang, Ho-Sung & Seol, Moon-Won (2017). A study on managing dataset records in government information systems. Journal of Korean Society of Archives and Records Management, 17(3), 23-47. https://doi.org/10.14404/JKSARM.2017.17.3.023
  18. Yim, Jin-Hee (2021). Suggestions on how to convert official documents to machine readable. The Korean Journal of Archival Studies, 67, 99-138. https://doi.org/10.20923/KJAS.2021.67.099
  19. Yoon, Sung-Ho, Lee, Jung-Eun, & Yang, Dongmin (2021). A study on SIARD verification as a preservation format for data set records. Journal of Korean Society of Archives and Records Management, 21(3), 99-118. https://doi.org/10.14404/JKSARM.2021.21.3.099
  20. Consultative Committee for Space Data Systems (2012). Reference Model for an Open Archival Information System (OAIS).