Abstract

Despite the transition of administrative work from a paper-based management system to a digital media management system, the Public Records Management Act is still based on “electronic management of paper records”. In particular, production records are classified through the record management standard including the retention period and disclosure status for each unit task of the Government Functional Classification System (BRM), but this system does not properly reflect the complex record production environment. As a result, despite the efforts of the central government and various methods of preceding researchers, due to the lack of a business operation method that can sufficiently reflect the subjective judgment of the record producer and the lack of feedback for sustainable operation, all institutions still face many difficulties in the record classification process, which is the beginning stage of record management. Therefore, the purpose of this study is to automatically check and apply the record management standard table based on the document registration ledger data of public institutions. As a method of inspection and application, first, the Levenstein distance algorithm can be applied to check whether the compilation of records is appropriate within the unit task. Second, it is possible to identify unused unit task cards, check the retention period for the same unit task name, and check the appropriateness of disclosure by analyzing the correlation between the unit task of the record management standard and the document registration ledger data. Third, this method is applied to actual work, and general user groups are recruited for performance evaluation and research methods are evaluated. The conclusion of the study is, first, because the record management reference table is automatically checked based on data accumulated by the institution, It shows high accuracy in practice. it shows high accuracy. Second, high results were obtained for efficiency and ease, but somewhat negative results were obtained for informativity. Third, it is possible to expand and convert thinking to data-based record information management, where most of the subjective opinions of practitioners were applied.