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- P-ISSN1598-1487
- E-ISSN2671-7247
Vol.24 No.2
Abstract
The work environment that produces and preserves records is changing in the digital transformation era, going beyond the new technologies of the Fourth Industrial Revolution. The electronic records management strategy in the archives must be prepared according to the technology, policy, and environmental changes related to overall records management of the era. Based on this, the basic environment in which the public can access records can be created by preserving the value of records. This study analyzes the direction of changes and strategies of records management in the digital environment and the direction of electronic records management strategies of the National Archives & Records Administration (NARA) in the United States, the National Archives of Australia (NAA), and the National Archives of Korea (NAK). Based on the analysis, the study suggests policies, facilities, and personnel elements as the core of the national electronic records management strategy and direction in the digital era.
Abstract
This study seeks to analyze the actual operation status of the school history archive, which collects, preserves, and utilizes school history records, and propose improvement strategies. The subjects of this study were divided into unit school history archives established in each school and integrated school history archives, which collect school history records under the jurisdiction of the Office of Education. The types and functions of school history records and school history archives were first identified, and the status of school history archives overseas was investigated. Afterward, interviews were conducted with six unit schools and five Offices of Education to examine the domestic status. The interview questionnaire was structured according to the following aspects: operation status, records and archives management, and archival information services. Based on this, the status and problems of the unit school type and integrated school history archives were identified, and improvement measures in terms of operation, record management, and record information service were proposed. In addition, comprehensive improvement strategies encompassing the unit school and integrated school archives were suggested. The results of this study can serve as useful material for operating and developing school history archives.
Abstract
This study investigated research trends in digital curation indexed in a prominent domestic academic information database. A systematic literature review was conducted on 39 academic papers published from 2009 to 2023. The review examined indexing status according to publication year, venue, academic discipline, research area distribution, research affiliation and occupation, and research types. In addition, network centrality analysis and cohesive group analysis were performed on 69 author keywords. The findings revealed several key points. First, digital curation research peaked in 2015 and 2016 with 5 publications each year, followed by a slight decrease, and then consistently produced 4 or more publications annually since 2019. Second, among the 39 studies, 25 were conducted in interdisciplinary fields, including library and information science, while 11 were in the humanities, such as miscellaneous humanities. The most prominent research areas were theoretical and infrastructural aspects, information management and services, and institutional domains. Third, digital curation research was predominantly led by university-affiliated professors and researchers, with collaborative research more prevalent than solo research. Lastly, analysis of author keywords revealed that “digital curation,” “institution,” and “content” were the most influential central keywords within the overall network.
Abstract
본 연구는 인공지능의 하위분야인 자연어 처리(NLP)의 개체명 인식(NER)을 통하여 기록에 내재된 메타데이터 값과 기술 정보를 추출하는 방안에 대한 시험적 연구이다. 연구 대상은 1960~1970년대에 생산된 구로공단 수기 기록물(약 1,200 쪽, 8만여 단어)을 대상으로 하였다. 디지털화를 포함하는 전처리 과정과 함께 기록 텍스트에 대해서 구글의 BERT 언어 모델에 기반하여 구현되어 공개된 언어 API를 사용하여 개체명을 인식하였다. 그 결과로 구로공단의 과거 기록에 포함된 173개의 인명과 314개의 조직 및 기관 개체명을 추출할 수 있었고, 이는 기록의 내용에 대한 직접적인 검색어로 사용될 수 있다고 기대된다. 그리고 자연어 처리의 이론적 방법론을 반·비정형의 텍스트로 이루어진 실제 기록물에 적용할 때 발생하는 문제점을 파악하여 해결 방안과 고려해야 할 시사점을 제시했다.
Abstract
Metadata is a crucial component of record management, playing a vital role in properly managing and understanding the record. In cases where automatic metadata assignment is not feasible, manual input by records professionals becomes necessary. This study aims to alleviate the challenges associated with manual entry by proposing a method that harnesses ChatGPT technology for extracting records management metadata elements. To employ ChatGPT technology, a Python program utilizing the LangChain library was developed. This program was designed to analyze PDF documents and extract metadata from records through questions, both with a locally installed instance of ChatGPT and the ChatGPT online service. Multiple PDF documents were subjected to this process to test the effectiveness of metadata extraction. The results revealed that while using LangChain with ChatGPT-3.5 turbo provided a secure environment, it exhibited some limitations in accurately retrieving metadata elements. Conversely, the ChatGPT-4 online service yielded relatively accurate results despite being unable to handle sensitive documents for security reasons. This exploration underscores the potential of utilizing ChatGPT technology to extract metadata in records management. With advancements in ChatGPT-related technologies, safer and more accurate results are expected to be achieved. Leveraging these advantages can significantly enhance the efficiency and productivity of tasks associated with managing records and metadata in archives.
Abstract
In this study, considering the National Memorial of the Korean Provisional Government as a “Larchiveum,” the researchers attempted to develop a classification system that can comprehensively categorize various types of materials and propose a method of providing an online service. To this end, as a case study, the researchers examined the classification system structure and contents of the National Archives of Korea, National Assembly Archives, and Archives of Korean History of the National Institute of Korean History, which are the current material collection institutions of the Korean Provisional Government. Regarding online services, apart from the three institutions above, the Imperial War Museum and the Hoover Institution at Stanford University were also explored. Through the implications derived from the case analysis of domestic and foreign institutions, a basic hierarchical classification system by provenance for the materials held by the institution was established, and a multi-classification system was presented according to the classification criteria of “by type, by era, and by subject.” In addition, methods of applying the developed classification system to online services were proposed.
Abstract
This study aims to analyze classification systems used in the public sector, collected based on legislation, and to improve the classification system for public records. From the Korean Law Information Center, 375 legislative clauses were searched, revealing about 80 classification systems. These systems were initially divided into lists, tables, and hierarchical classifications. Six types of classification system uses were proposed after combining three management types and two system functions. Among these models, classification systems used for core operations in public agencies often had the same entity as both developer and user. While systems adopted from other institutions were often modified as needed, they were predominantly used for reference tasks rather than core operations. However, in records management, crucial tasks such as record classification and disposal commonly use unmodified classification system items developed and managed by other agencies. Consequently, this study proposes that structural improvements are necessary for the record classification system. It suggests developing dedicated classification systems to support core functions or modifying existing systems and also applying records management disposal standards and guidelines to other relevant legislative provisions.