• Title/Summary/Keyword: appraisal of datasets

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Research Trends and Issues of Appraisal of Digital Records : Focused on Datasets and Websites (전자기록 평가의 동향과 과제 데이터세트와 웹사이트 평가를 중심으로)

  • Hyun, Moonsoo
    • The Korean Journal of Archival Studies
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    • no.71
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    • pp.5-48
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    • 2022
  • This study explored recent discussions, experiments, and case studies related to the appraisal of digital records, which was focused on datasets and websites. Based on this, it proposed what issues should be addressed for developing appraisal policies. To this end, it categorized appraisal criteria that can be applied to digital records, examined the arguments that in the digital environment total retention is necessary in the era of big data, and that selective retention is still necessary, based on the literature review. Subsequently, after analyzing case studies conducted on datasets and websites, the study dealt with what discussions should be made in terms of targets, tools, objectives of appraisal, and roles/responsibilities which used to develop appraisal policy. This study addressed the following questions to reveal current debates and challenges; First, what appraisal criteria can be applied to digital records in general; second, is the appraisal activities still necessary in the era of digital environment and big data; third, what are the results that case studies produced for the appraisal of digital records; fourth, what changes are expected in the future regarding the appraisal. Based on these questions, it tried to reveal the main issues necessary to develop the appraisal policies that can be applied to various types of digital records created in the public domain.

A Study on Improvement of Evaluation Indicators for Archival Appraisal of Administrative Information Dataset (행정정보 데이터세트 평가선별을 위한 평가지표 개선방안 연구)

  • HanYeok Jeon;Byongu Kang;ChaeEun Song;Dongmin Yang
    • Journal of Korean Society of Archives and Records Management
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    • v.23 no.2
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    • pp.27-48
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    • 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.

Study on Public Institution Dataset Identification and Evaluation Process : Focusing on the Case of KR Electronic Procurement System (공공기관 데이터세트 식별과 평가 절차 연구 국가철도공단 전자조달시스템 사례를 중심으로)

  • Hwang, jin hyun;Baek, young mi;Yim, jin hee
    • The Korean Journal of Archival Studies
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    • no.70
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    • pp.41-83
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    • 2021
  • After the revision of the Enforcement Decree of the Public Records Act, the archives created a management standard table for data set records management and performed management and control. Therefore, in this study, the data set record identification procedure and evaluation index were developed for systematic data set record management of archives. By applying this, a management standard table was prepared after identifying the records of 8 datasets in kr's electronic procurement system, and the evaluation was carried out according to the evaluation index, and the retention period, transfer, and collection were determined. It is hoped that this case study will be of practical use to the archives at a time when concrete examples of procedures for the management of dataset records are lacking.

A Study on Data Quality Evaluation of Administrative Information Dataset (행정정보데이터세트의 데이터 품질평가 연구)

  • Song, Chiho;Yim, Jinhee
    • The Korean Journal of Archival Studies
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    • no.71
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    • pp.237-272
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    • 2022
  • In 2019, the pilot project to establish a record management system for administrative information datasets started in earnest under the leadership of the National Archives. Based on the results of the three-year project by 2021, the improved administrative information dataset management plan will be reflected in public records-related laws and guidelines. Through this, the administrative information dataset becomes the target of full-scale public record management. Although public records have been converted to electronic documents and even the datasets of administrative information systems have been included in full-scale public records management, research on the quality requirements of data itself as raw data constituting records is still lacking. If data quality is not guaranteed, all four properties of records will be threatened in the dataset, which is a structure of data and an aggregate of records. Moreover, if the reliability of the quality of the data of the administrative information system built by reflecting the various needs of the working departments of the institution without considering the standards of the standard records management system is insufficient, the reliability of the public records itself can not be secured. This study is based on the administrative information dataset management plan presented in the "Administrative Information Dataset Recorded Information Service and Utilization Model Study" conducted by the National Archives of Korea in 2021. A study was conducted. By referring to various data, especially public data-related policies and guides, which are being promoted across the government, we would like to derive quality evaluation requirements in terms of records management and present specific indicators. Through this, it is expected that it will be helpful for record management of administrative information dataset which will be in full swing in the future.