Records Management
Online ISSN : 2424-1954
Print ISSN : 0915-4787
ISSN-L : 0915-4787
Current issue
Displaying 1-20 of 20 articles from this issue
Article
  • Kyoko TOYODA
    2023 Volume 85 Pages 3-17
    Published: 2023
    Released on J-STAGE: April 09, 2024
    JOURNAL FREE ACCESS

    This study analyzes the current status of the U.S. presidential library system and identifies future directions and challenges for it.

    Since Franklin D. Roosevelt built the first library in 1941, there have been 13 presidential libraries managed by the National Archives and Records Administration (NARA) in the United States up to the Bush (43rd) Presidential Library. However, NARA’s budget and staffing shortfalls, combined with an increase in the volume of records to be managed and changes in disclosure policies, have resulted in serious backlog problems, particularly at the Clinton and Bush (43rd) presidential libraries.

    Meanwhile, the Obama Foundation has decided that the Obama Presidential Center (OPC), scheduled to open in 2025, will not house a NARA-controlled library, and the Bush (43rd)Foundation has announced that it will also acquire the management and operating rights of the museum from NARA. Presidential libraries appear to be at a major turning point.

    This paper reviews the path the presidential library system has taken to date and discusses future directions and challenges.

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  • An Analysis of Sojourn in Former Awashiwa Village of Kagawa Prefecture
    Norihito SHIMADA
    2023 Volume 85 Pages 18-37
    Published: 2023
    Released on J-STAGE: April 09, 2024
    JOURNAL FREE ACCESS

    Notification of temporary residence is worthy of being recorded as the primary source of interregional mobility. On the other hand, there are a few previous studies on it. It is not because of prefectures. It is because former city offices’ documents including the notification of temporary residence that only municipalities own are not browsable in any facilities. By analyzing these valuable records and identifying the value, this paper proposes that notification of temporary residence should be archived in municipalities’ archives, and it should be available under public archives management ordinance.

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  • Analyzing Interviews with University Presidents
    Kahori OGASHIWA
    2023 Volume 85 Pages 38-53
    Published: 2023
    Released on J-STAGE: April 09, 2024
    JOURNAL FREE ACCESS

    In the previous paper, the author clarified that the self-assessment reports of national universities described the decision-making process up to the formulation of the medium-term plan. In addition, the minutes of the meeting held in the Kyushu University Archives outlined the establishment of a meeting body for the medium-term plan. However, private universities have a different organizational structure from national universities, resulting in a relatively complex decision-making process. Therefore, the present study investigated the flow of the decision-making process of private universities based on their self-assessment reports. Further, the study used open data to analyze the operations of the board of directors (the decision-making body) and the board of trustees (the advisory body). Furthermore, the author aims to elucidate the actual situation of the decision-making process in private universities by analyzing interviews with university presidents, and the present paper presents a concrete example of the record.

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Research Project
  • Toshiki SHIMBARU
    2023 Volume 85 Pages 54-65
    Published: 2023
    Released on J-STAGE: April 09, 2024
    JOURNAL FREE ACCESS

    Local governments face the problem of improving the efficiency of the selection process for historical public records. This study developed an automatic judgment method for the primary screening of historical public records by machine learning, using the administrative documents of Kumamoto Prefecture as a case study. Automatic determination was possible for 58% of all documents. Comparing the automatic judgment results with the actual manual judgment showed a recall rate of 60% and a precision rate of 32%. However, each rate has a trade-off relationship, and improving each index is difficult. Efforts to improve the accuracy of judgments are the following: (1) Selection of the most appropriate machine learning model exceeding the cosine similarity, (2) Introduction of a system to assign appropriate names to documents according to their contents, and (3) Reflection of the secondary screening results in the past years in the primary screening process.

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