• Proceedings of the Korean Society for Information Management Conference
• /
• 2010.08a
• /
• pp.155-162
• /
• 2010

데이터세트 기록은 단순한 이관모듈의 작성이나 API를 제공하는 것만으로는 효과적이고 효율적으로 이관을 수행하기 어렵다. 데이터세트의 기록은 기록 건의 범위가 명확하지 않으며, 이관되는 과정에서 데이터의 보정과 품질개선이 필요하며, 메타데이터의 적극적인 수집보완이 요구되는 등 규격화된 전자문서 중심의 기록과는 이관 과정의 특성이 다르기 때문이다. 따라서 데이터세트 기록의 이관 시에는 세부적인 이관 절차를 따라 이관대상 데이터의 상태를 확인하고 필요한 조치를 취해나갈 수 있도록 지원해주는 이관도구가 필수적이다. 이관의 이관 작업과 달리 이관 작업을 지원하는 도구가 필수적이다. 이 논문에서는 행정정보시스템에서 데이터세트 기록을 추출하여 아카이브 시스템으로 이관하는 과정을 지원하는 도구가 갖춰야 할에 기능요건을 제시하고자 한다.

• Journal of Korean Society of Archives and Records Management
• /
• v.23 no.2
• /
• pp.27-48
• /
• 2023

In domestic public institutions, administrative information datasets are recognized as electronic records that require systematic management. In this regard, concrete measures for the execution of records management have been discussed recently in the National Archives of Korea and the academic field. This study seeks to derive a plan to improve evaluation indicators that can effectively grasp the value of administrative information datasets and the matters to be considered when evaluating and selecting datasets in the records management of public institutions. This paper analyzes the theoretical background and current status of dataset evaluation and selection, derives considerations necessary for this process, and proposes improvement measures for evaluation indicators presented in previous studies. The results of this study are expected to lead to the revitalization of discussions on maintaining the public institutions' dataset management system and supplementing the management process in the future.

• The Korean Journal of Archival Studies
• /
• no.70
• /
• pp.5-40
• /
• 2021

Administrative information dataset records produced by various systems designed for work are difficult to manage on a case-by-case basis, requiring separate procedures to identify and evaluate data-sets. Identified data set records are apprasal and transferred to the records management system or disposed of. In this process, sufficient records management elements must be reflected in the production system itself in order to adhere to the principles of record management. In this paper, the functional requirements of the production system to accurately identify and safely manage data-sets were derived and applied based on the case of the KR property management system. It is hoped that this research on functional requirements of production systems will be added to lead to the creation of standards for functional requirements of data set production systems.

• Journal of Korean Society of Archives and Records Management
• /
• v.22 no.2
• /
• pp.51-73
• /
• 2022

Currently, an implementation plan of administrative information dataset record management has been prepared; however, analyzing the specificity of various administrative information systems and preparing a reasonable level of management reference table by applying about 1.3% (EA portal registration system: 16,199, consulting system: 214) has its limitations. This study started by recognizing the importance of the records management environment in administrative information datasets. Based on the described information, the current records management environment was analyzed by dividing the six areas of the management reference table of the picture archiving and communication system (PACS) into three groups. Thus, a systematic environmental improvement model was proposed, enhancing the effectiveness of dataset records management in the field. Although there is a limitation in analyzing one of the dataset records management environments of various institutions, it is intended to help broaden the horizons of records management research.

• The Korean Journal of Archival Studies
• /
• no.25
• /
• pp.91-129
• /
• 2010

As it grows more heavily reliant on information system, researchers seek for various ways to manage and utilize of dataset records which is accumulated in public information system. It might be needed to adjust date and enhance the quality of public administrative dataset records during transferring to archive system or sharing server. The purpose of this paper is presenting data adjustment and quality enhancement methods for public administrative dataset records, and it refers to ETT procedure and method of construction of datawarehouses. It suggests seven typical examples and processing method of data adjustment and quality enhancement, which are (1) verification of quantity and data domain (2) code conversion for a consistent code value (3) making component with combinded information (4) making a decision of precision of date data (5) standardization of data (6) comment information about code value (7) capturing of metadata. It should be reviewed during dataset record transfer. This paper made Data adjustment and quality enhancement requirements for dataset record transfer, and it could be used as data quality requirement of administrative information system which produces dataset.

• Journal of Korean Society of Archives and Records Management
• /
• v.22 no.1
• /
• pp.177-200
• /
• 2022

Administrative information datasets are a kind of record produced based on an organization's work performance. A dataset is evidence of the act of recording and contains a lot of information that can be used for work. Datasets have been neglected in Korea's records management system. However, as the law was revised in 2020, the management of administrative information datasets was legislated. Organizations that require management of administrative information datasets have already gradually begun record management. The core of managing administrative information datasets is the preparation of the Management Reference Table for the dataset. Regardless, there is confusion with the Records Management Reference Table for Dataset in institutions that work on records management, and it is difficult to work because the Management Reference Table for Dataset has a new concept. This study looked into the problems in the records management of datasets that appeared at the beginning of work. It isuggests a method to effectively settle records management for datasets. In that way, the Management Reference Table was selected as the research subject, and the problems discussed so far were summarized. In addition, the items of the current Management Reference Table were analyzed. As a result of the study, we have proposed the simplification of items in the Management Reference Table, the reorganization of areas in the Management Reference Table, the introduction of the concept of retention periods, and the preparation process of the Management Reference Table.

• Journal of the Korean Society for information Management
• /
• v.40 no.4
• /
• pp.167-200
• /
• 2023

For the record management of administrative information datasets in Korea, it is recommended to utilize SIARD as a transfer specification when transferring administrative information datasets. However, there are many cases where the application of SIARD is not suitable due to the record management unit of administrative information datasets, technical limitations of tools that support SIARD, and the realistic situation of public institutions. In this study, we propose a plan to diversify the transfer specifications of administrative information datasets other than SIARD. In the record management of administrative information datasets, the need to reproduce the user interface associated with the dataset has been discussed but not specifically presented. This study confirms that the user interface is a property to be preserved from the perspective of Significant Properties, proposes a method to effectively reproduce the user interface, and provides an example of actual verification.

• Journal of Korean Society of Archives and Records Management
• /
• v.20 no.4
• /
• pp.41-58
• /
• 2020

Although numerous studies have noted the importance of data sets in government information systems, the practical management of data sets has yet to be developed. Under these circumstances, the National Archives of Korea designated data set management as a major project in 2020, initiating full-scale management work. Despite these efforts, the records center, which will conduct management, expressed great concern for the new project. As such, this study identifies problems in managing data sets and searches for possible improvements through a comparison with existing public data projects by public institutions. In particular, the following materials were analyzed: laws, notices, guidelines, and publications issued by the ministries. Based on the results, several measures were proposed as part of an improvement plan for data set management: (1) the utilization of government functional classification as a reference, (2) the reorganization of the table, and (3) data linkage with related systems.

• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.34 no.4
• /
• pp.259-283
• /
• 2023

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.

• The Korean Journal of Archival Studies
• /
• no.78
• /
• pp.153-195
• /
• 2023

RDBMS is a widely used database system worldwide, and the term dataset refers to the vast amount of data produced in administrative information systems using RDBMS. Unlike business systems that mainly produce administrative documents, administrative information systems generate records centered around the unique tasks of organizations. These records differ from traditional approval documents and metadata, making it challenging to seamlessly transfer them to standard record management systems. With the 2022 revision of the 'Public Records Act Enforcement Decree,' dataset was included in the types of records for which only management authority is transferred. The core aspect of this revision is the need to manage the lifecycle of records within administrative information systems. However, there has been little exploration into how to manage dataset within administrative information systems. As a result, this research aims to design a database for a record management module that needs to be integrated into administrative information systems to manage the lifecycle of records. By modifying and supplementing ISO 16175-1:2020, we are designing an "human resource management system" and identifying and evaluating personnel management dataset. Through this, we aim to provide a concrete example of record management within administrative information systems. It's worth noting that the prototype system designed in this research has limitations in terms of data volume compared to systems currently in use within organizations, and it has not yet been validated by record researchers and IT developers in the field. However, this endeavor has allowed us to understand the nature of dataset and how they should be managed within administrative information systems. It has also affirmed the need for a record management module's database within administrative information systems. In the future, once a complete record management module is developed and standards are established by the National Archives, it is expected to become a necessary module for organizations to manage dataset effectively.