Browse > Article
http://dx.doi.org/10.14404/JKSARM.2021.21.4.081

Automation and Common Utilization Plans of Job and Organization Analysis of Producing Institutions  

Kang, Yoona (전북대학교 일반대학원 기록관리학과)
Park, Tae-yeon (국가기록원 특수기록지원과)
Kim, Hyunjin (국가기록원 서비스정책과)
Oh, Hyo-Jung (전북대학교 문헌정보학과, 문화융복합아카이빙연구소)
Publication Information
Journal of Korean Society of Archives and Records Management / v.21, no.4, 2021 , pp. 81-99 More about this Journal
Abstract
Job and organization analysis of producing institutes is a task that identifies the history of transition and major business functions for various record-producing institutions and must be performed in common within the archives, and many workers must jointly refer to the relevant knowledge. However, in the field, a limited number of people in charge are individually performing by manual work, and the results are not shared. Therefore, this study aims to reduce the work burden of workers through the automation of the job and organization analysis process and build basic resources that can be commonly used by the archives. This study subdivided the task of job and organization analysis into manual, semi-automation, and automation parts by performing FGI with the practitioner of the archive and suggested ways to realize it. In addition, we derive the basic analysis data that can be commonly referenced in the electronic records management process, and by verifying the results through practitioners, efficient use of knowledge resources is suggested. Furthermore, by establishing a standardized work process, we intend to lay the foundation to support consistent and systematic work performance.
Keywords
job and organization analysis; records-producing institution; authority record; automation; common resources;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 Jang, Ji-Sook & Rieh, Hae-Young (2009). Design of Automatic Records Classification System Using Contextual Information. Journal of Korean Society of Archives and Records Management, 9(1), 151-173. https://doi.org/10.14404/JKSARM.2009.9.1.151   DOI
2 Jung, Sang Jun, Yun, Bo-Hyun, & Oh, Hyo-Jung (2019). Analysis of Social Issues and Media-specific Characteristics Related to Presidential Records based on Semantic Network, 30(1), 181-207. https://doi.org/10.14699/kbiblia.2019.30.1.181   DOI
3 Kim, Ki-Bong (2019). A Study of Convergence Technology in Robotic Process Automation for Task Automation, 9(7), 8-13. https://doi.org/10.22156/CS4SMB.2019.9.7.008   DOI
4 Kim, Seong-Hee & Eom, Jae-Eun (2008). A Study on the Document's Automatic Classification Using Machine Learning. Journal of Korean Society of Archives and Records Management, 39(4), 47-66. https://doi.org/10.1633/JIM.2008.39.4.047   DOI
5 Kim, Yeon-Joo (2013). Current status and assignment of Archival Authority Record. Archive In, 23, 62-67.
6 Kim, You-seung & Kim, Jang-Hwan (2013). A Study on Job and Organization of the National Assembly Archives. A Journal of Korean Society of Archives and Records Management, 13(1), 81-106. https://doi.org/10.14404/JKSARM.2013.13.1.081   DOI
7 Korean Society of Archives and Records Management (2018). Records and Archives Management: Theory and Practice. Seoul: JoEun Geulteo.
8 Nam, Jeoung Min (2009). A Study on Applying EAC to Archive Creators Authority Records. Master's thesis, Department of Records & Archives Management, Chung-ang University, South Korea.
9 Standard Model for Archives: Function and Procedure(v2.2). NAK 9:2021(v2.2).
10 Ministry of the Interior and Saftey [n.p.]. Organizational change by administrative agency. Government oraganization management information system. Available: https://www.org.go.kr/orgnzt/chnge/viewAdmnstMach.do
11 National Archives of Korea (2020b). A Study on the Application of Non-public Information Filtering and Masking Technology for Public Reclassification of Electronic Records.
12 National Archives of Korea (2021). Study on Common Training Dataset Construction for appling AI technology for Records Managements.
13 Korea Environmental Industry & Technology Institute (2019, August 1). Korea Environmental Industry & Technology Institute, RPA to innovate Business. Available: http://www.keiti.re.kr/site/keiti/ex/board/View.do?cbIdx=237&bcIdx=29848
14 National Archives of Korea (2020a). Study on Approaches to Improve the Accuracy of OCR(Optical Character Recognition) focusing on Koreran Archival Documents.
15 Moon, Hyun-Joo (2010). The Research on Function Theasaurus Establishment Based on Function Classification Scheme. Master's thesis, Department of Archival Studies, Graduate school of Kyungnam University, South Korea.
16 An, Dae-jin & Yim, Jin-hee (2017). Application of 4th Industrial Revolution Technology to Records Management. The Korean Journal of Archival Studies, 54, 211-248. http://dx.doi.org/10.20923/kjas.2017.54.211   DOI
17 Kim, Hyeon-jin (2021). Status of promotion of the Archives classification system. Issue Paper, 28, 16-30.
18 Kim, Tae-Young, Ryu, Pum-Mo, Kim, Hansaem, & Oh, Hyo-Jung (2020). Unified Methodology of Multiple POS Taggers for Large-scale Korean Linguistic GS Set Construction. Journal of KIISE, 47(6), 596-602. http://dx.doi.org/10.5626/JOK.2020.47.6.596   DOI
19 Korea Employment Information Service (2016, March 24). Artificial intelligence(AI), the era of collaboration between robots and humans. Available: https://www.keis.or.kr/user/bbs/main/203/2113/bbsDataView/32701.do?page=1&column=&search=&searchSDate=&searc hEDate=&bbsDataCategory
20 Lee, Byung-Hoon (2020, April 22). Police applied and implemented 57 RPA ideas. Financial News. Available: https://www.fnnews.com/news/202004221021139802
21 National Archives of Korea [n.d.]. Introduction to record.
22 TTA Information and Communication Terminology Dictionary [n.d.]. crawling. Available: https://terms.tta.or.kr/dictionary/dictionaryView.do?word_seq=179640-1
23 Oh, Hyo-Jung, Won, Donh-Hyun, Kim, Chonghuck, Park, Sung-Hee, & Kim, Yong (2018). Design and implementation of crawling algorithm to collect deep web information for web archiving. Data Technologies and Applications, 52(2), 266-277. https://doi.org/10.1108/DTA-07-2017-0053   DOI
24 National Information Society Agency (2020). Guide to Introducing RPA for Digital Innovation in the Public Sector.
25 Park, Si-Hyun (2020, May 27). Grid One wins RPA expansion project from Korea Technology Finance Corporation. Digital Economy News. Available: https://www.denews.co.kr/news/articleView.html?idxno=13500
26 TTA Information and Communication Terminology Dictionary [n.d.]. Natural Language Processing. Available: https://terms.tta.or.kr/dictionary/dictionaryView.do?word_seq=049996-3