Miyata, Yosuke

写真a

Affiliation

Faculty of Letters, Department of Humanities and Social Science (Library and Information Science) (Mita)

Position

Research Associate/Assistant Professor/Instructor

External Links
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Career 【 Display / hide 】

  • 2009.04
    -
    2012.03

    Keio University, Graduate School of Letters, Assistant Professor (fixed-term)

  • 2013.04
    -
    2014.03

    Tokoha Gakuen Junior College, 日本語日本文学科, Lecturer

  • 2014.04
    -
    2017.03

    Teikyo University, Center for Fundamental Education, Assistant Professor

  • 2017.04
    -
    2020.03

    Teikyo University, Center for Active Engagement and Student Learning, Lecturer

  • 2020.04
    -
    Present

    Keio University, Faculty of Letters Department of Humanities and Social Science (Library and Information Science), 助教

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Research Areas 【 Display / hide 】

  • Humanities & Social Sciences / Library and information science, humanistic and social informatics

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Research Keywords 【 Display / hide 】

  • Library and information science

  • Information Retrieval

  • Information Organization

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Books 【 Display / hide 】

  • スキルアップ!情報検索 : 基本と実践

    中島 玲子, 安形 輝, 宮田 洋輔, 日外アソシエーツ, 2017,  Page： 14, 185p

  • メタデータとウェブサービス

    日本図書館情報学会研究委員会, 勉誠出版, 2016

    Scope: 21世紀の書誌コントロール

  • 大学でどう学ぶか2015[第3版]

    帝京大学総合教育センター導入教育検討委員会「アカデミック・スキルズ」ワーキンググループ編, 帝京大学総合教育センター導入教育検討委員会「アカデミック・スキルズ」ワーキンググループ, 2015

    Scope: 第5章 「発表する」 : 知を分かち合うためのプレゼンテーション・スキル

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Papers 【 Display / hide 】

  • Personal information management practices among the general public: analysis of questionnaire survey results in US and Japan

    Y Miyata, K Kurata, E Ishita, A Iwase, N Yoshida, J Wu, K Yamaoka

    Aslib Journal of Information Management  2025

    ISSN  20503806

    　View Summary

    Purpose: Personal information management (PIM) has evolved with advances in information technology. This study focused on how ordinary people use various technologies and tools for PIM practice in daily tasks. Design/methodology/approach: A web-based questionnaire survey was presented to 3,278 individuals in the United States and Japan between January and February 2022. The survey included 35 items for PIM activities assigned to three elements – task, format and management level – and three items for demographic data. Findings: Descriptive analysis showed that the use of digital format exceeded that of paper format in PIM activities. However, the paper format was preferred for certain tasks and among older age groups. In terms of the management level, retrieving information without management was the most frequent. Hierarchical clustering identified six behavioral types of PIM activities: omnivorous, selective, early adopters, conservatism, minimalist and no PIM. The conservatism cluster mainly used the paper format, whereas the no PIM cluster had almost no PIM activity. This demonstrates the diversity in the adoption of PIM practices. Originality/value: This study provides a snapshot of the current state of PIM practices when digital tools are commonly accessible and categorizes the PIM practices of ordinary people in the two countries. The results indicated that some people tend to retrieve information on specific tasks without managing it in advance. Moreover, the rising use of generative AI has the potential to fundamentally change PIM practices. This study suggests that examining the effect of information technology on PIM practices could be an important topic for the future.

  • Developing Categories of Data Reuse Patterns for the Medical Field

    E Ishita, Y Miyata, K Kurata

    International Conference on Asian Digital Libraries, 260-266 15494 LNCS   260 - 266 2025

    ISSN  03029743

    　View Summary

    This study focuses on the significant role played by reusing datasets in promoting open science. This study reported on the process of developing dataset reuse pattern categories and verified that these categories could be used to identify the role of reusing datasets. Articles that cited the biomedical dataset of the Framingham Cohort were included in the sample. Two annotators assigned categories to the samples by checking titles, journal names, author information, purpose, description of the dataset, and statements of data in the body of the articles; 11 categories were identified. The analysis of the sample articles with assigned categories indicated that this category set can contribute to verifying the increasing diversity of reuse patterns, expanding research areas, and contributing to data-driven research by reusing data. This study serves as a testament to the advantages of data reuse and inspires researchers to consider the impacts of data sharing practices.

  • デジタルアーカイブを学術文献における利用から評価する Europeana を対象に

    福島幸宏， 宮田洋輔

    日本図書館情報学会研究大会発表論文集/日本図書館情報学会研究大会事務局 編 72 …  2024

  • NCR2018 は司書課程でどのくらい教えられているのか

    木村麻衣子， 宮田洋輔， 金井喜一郎， 橋詰秋子

    現代の図書館= Libraries today/日本図書館協会現代の図書館編集委員会 編 62 (1 …  2024

  • Initial insight into three modes of data sharing: Prevalence of primary reuse, data integration and dataset release in research articles

    Yukiko Sakai, Yosuke Miyata, Keiko Yokoi, Yuqing Wang, Keiko Kurata

    Learned Publishing (Wiley)  36 ( 3 ) 417 - 425 2023.07

    Accepted,  ISSN  09531513

    　View Summary

    While data sharing has received research interest in recent times, its real status remains unclear, owing to its ambiguous concept. To understand the current status of data sharing, this study examined primary reuse, data integration, and dataset release as the actual practices of data sharing. A total of 963 articles, chosen from those published in 2018 and registered in the Web of Science global citation database, were manually checked. Existing data were reused in the mode of data integration (13.3%) as frequently as they were for the mode of primary reuse (12.1%). Dataset release was the least common mode (9.0%). The results show the variation in data sharing and indicate the need for standardization of data description in articles based on thorough registration and expansion in public data archives to close the loop that results in the virtuous cycle of research data.

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Papers, etc., Registered in KOARA 【 Display / hide 】

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Reviews, Commentaries, etc. 【 Display / hide 】

  • IT を活用した問題解決能力に影響する要因:「OECD 国際成人力調査 (PIAAC)」 のオープンデータを用いて

    山岡加奈， 岩瀬梓， 王雨晴， 広江理紗子， 吉田直輝， 宮田洋輔， 石田栄美， ...

    三田図書館・情報学会研究大会発表論文集, 25-28 (三田図書館・情報学会)     25 - 28 2019

    Other, Joint Work,  ISSN  1344-3283

  • Annual Reports : Brief Report of the Facility Tour of Teikyo University and the CAESL Seminar

    宮田 洋輔

    帝京大学学修・研究支援センター論集 = Teikyo journal of Center for Active Engagement and Student Learning (八王子 : 帝京大学 学修・研究支援センター)  10   135 - 137 2019

    Other, Single Work,  ISSN  2433-6912

  • 引用分析から見た形成期の図書館情報学

    宮田洋輔

    三田図書館・情報学会研究大会発表論文集, 57-60 (三田図書館・情報学会)     57 - 60 2019

    Other, Single Work,  ISSN  1344-3283

  • LDAを用いた図書館情報学の研究トピックの変化：2期間の雑誌論文の全文を対象に

    宮田洋輔, 山本通正, 楊芳, 岩瀬梓, 石田栄美, 倉田敬子, 上田修一

    2018年度三田図書館・情報学会研究大会発表論文集    41 - 44 2018.10

    Other, Joint Work

  • 学会発表の形式とアクセスの現況

    宮田洋輔, 上田修一, 若宮俊, 石田栄美, 倉田敬子

    2016年度日本図書館情報学会研究大会発表論文集    23 - 26 2016.11

    Other, Joint Work

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Presentations 【 Display / hide 】

  • 図書館情報学英語論文における描出の変遷

    宮田洋輔

    三田図書館・情報学会研究大会発表論文集, 37-40, 

    2022
    , 

    三田図書館・情報学会

  • Data integration as the major mode of data reuse

    Yukiko Sakai, Yosuke Miyata, Keiko Yokoi, Yuqing Wang, Keiko Kurata

    Proceedings of the Association for Information Science and Technology, 

    2020
    , 

    Poster presentation

    　View Summary

    Data sharing has been emphasized in scientific research in the era of open science; however, the concept of data sharing is ambiguous, and the real situation of data sharing is unclear. One reason is that most studies focused on researchers' recognition, motivation, and other contributing factors and did not thoroughly discuss the actual practice of data sharing for preparing research articles. To explicitly understand the current status of data sharing, the authors considered and investigated primary reuse, data integration, and data release distinctively as the actual practices of data sharing. A total of 237 articles published in 2018 and registered in the Web of Science global citation database were manually checked. Unlike the scarcity of data reuse (8.0%) or data release (5.1%), existing data were most frequently reused in the form of data integration (20.7%). The result implies that further studies on detailed data reuse are required to clarify the concept of data sharing.

  • 所有とアクセスからみた情報メディアの利用実態

    吉田直輝， 岩瀬梓， 王雨晴， 胡童飛， 広江理紗子， 山岡加奈， 宮田洋輔， ...

    三田図書館・情報学会研究大会発表論文集, 5-8, 

    2020
    , 

    三田図書館・情報学会

  • IT を活用した問題解決能力に影響する要因:「OECD 国際成人力調査 (PIAAC)」 のオープンデータを用いて

    山岡加奈， 岩瀬梓， 王雨晴， 広江理紗子， 吉田直輝， 宮田洋輔， 石田栄美， ...

    三田図書館・情報学会研究大会発表論文集, 25-28, 

    2019
    , 

    三田図書館・情報学会

  • 引用分析から見た形成期の図書館情報学

    宮田洋輔

    三田図書館・情報学会研究大会発表論文集, 57-60, 

    2019
    , 

    三田図書館・情報学会

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Research Projects of Competitive Funds, etc. 【 Display / hide 】

  • Transformation of Research Processes with DMP at the Core: Research Data Management in the Era of Open Science

    2024.04
    -
    2028.03

    Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (B), No Setting

    　View Summary

    本研究は，研究成果を最終目標とする現在の研究プロセスを，研究データ管理計画（DMP)を中核とするワークフローとすることで，研究データの公開と再利用を推進する形に変革できないかの検証と新たなDMPの提案を目的とする。具体的には，研究データの認識や位置づけの異なる4領域に関して，研究プロセスの詳細な実態調査を踏まえ，コンピュータが自動処理できるmaDMPの新たなモデルを提案する。

  • 効果的な目録教授法の開発のための基礎的研究

    2023.06
    -
    2024.03

    日本図書館情報学会, 研究助成事業, Coinvestigator(s)

  • 文理融合型学際領域の形成に関する構造分析: 図書館情報学を事例とした実証研究

    2019.04
    -
    2022.03

    Teikyo University, Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C), Grant-in-Aid for Scientific Research (C), No Setting

    　View Summary

    この研究では，文理融合型の学問の形成の過程について分析する。学問の形成という大きな動きの中で，個別の論文を対象としてどのような変化のパターンが起こるかを明らかにする。具体的には，新たな学問が形成された期間に，学術雑誌に掲載された論文を分析し，引用関係や扱うトピック，著者のような学問における構造的変化を明らかにする。
    一定の歴史を持った文理融合型の学問分野である図書館情報学分野を，分析の事例として用いる。本研究の結果は，現在生まれつつある文理融合型の学問領域が，確立した学問分野として受け入れられるようになるのかを考える上で重要な示唆を与えるだろう。

  • Transformation of scholarly communication in the era of open science

    2019.04
    -
    2022.03

    Keio University, Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (B), Kurata Keiko, Grant-in-Aid for Scientific Research (B), No Setting

    　View Summary

    Currently, the research process has become digitalized, and there is not only an open access movement to make research results open, but also an open science movement that aims to share research data. Based on this background, this study took the following three approaches: (1) analysis of policies related to open science, (2) understanding of macro trends related to open access to articles and research data, and (3) micro analysis of the role and position of research data in individual research projects. We focused particularly on understanding macro trends and conducted a number of surveys. As a representative result, we characterized the open access situation in 2015 and 2020 from the viewpoint of OA implementation. We also analyzed three types of data sharing in journal articles from the perspective of reuse and dataset release.

  • Knowledge construction and scholarly communication in an era of digital and open science

    2014.04
    -
    2017.03

    Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (B), kurata keiko, KUNIMOTO Chihiro, HAYASHI Kazuhiro, ISHITA Emi, MIYATA Yosuke, MAEDA Chikako, MORIOKA Tomoko, YOKOI Keiko, KATO Shinya, Grant-in-Aid for Scientific Research (B), No Setting

    　View Summary

    Recently academic research has been based on digital environments. This research project was designed to find out how the “openness” and “sharing” in academic research have progressed. The ratio of open access of research articles in the entire fields has reached more half. The new style of articles in electronic journals which are feasible for digital reading gradually became popular. Although in the advanced initiative case the research data sharing have improved, researchers in many fields have complex feeling or attitude for data sharing. Because researchers cannot separate data sharing from research practices, it make more difficult to achieve data sharing widely. The issues or problem of data sharing should be examined from all angles.

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Awards 【 Display / hide 】

  • 日本図書館情報学会論文賞

    石田栄美, 安形輝, 宮田洋輔, 池内淳, 上田修一, 2014, 日本図書館情報学会, 構造と構成要素に基づく学術論文の自動判定

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Courses Taught 【 Display / hide 】

  • SCHOLARLY COMMUNICATION

    2025

  • LIBRARY INTERNSHIP 2

    2025

  • LIBRARY INTERNSHIP 1

    2025

  • INTRODUCTION TO LIBRARY AND INFORMATION SCIENCE

    2025

  • INFORMATION MANAGEMENT:BASICS 2

    2025

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Committee Experiences 【 Display / hide 】

  • 2020.04
    -
    2023.03

    理事, 日本図書館情報学会

  • 2018
    -
    Present

    プログラム委員, 三田図書館・情報学会

  • 2014
    -
    2017.03

    研究委員, 日本図書館情報学会

  • 2013.04
    -
    2014.03

    図書館情報委員会委員, 日本私立短期大学協会

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