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A Study on Data Quality Evaluation of Administrative Information Dataset

  • The Korean Journal of Archival Studies
  • 2022, (71), pp.237-272
  • DOI : 10.20923/kjas.2022.71.237
  • Publisher : Korean Society Of Archival Studies
  • Research Area : Interdisciplinary Studies > Library and Information Science
  • Received : December 31, 2021
  • Accepted : January 20, 2022
  • Published : January 31, 2022

Song, Chiho 1 YIM JIN HEE 2

1한국국가기록연구원
2명지대학교

Accredited

ABSTRACT

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.

Citation status

* References for papers published after 2022 are currently being built.