論文 - 宮田　洋輔

Developing Categories of Data Reuse Patterns for the Medical Field

Ishita E., Miyata Y., Kurata K.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 15494 LNCS   260 - 266 2025年

ISSN  03029743

　概要を見る

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.

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Personal information management practices among the general public: analysis of questionnaire survey results in U.S. and Japan

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

Aslib Journal of Information Management 2025年

ISSN  20503806

　概要を見る

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.

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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年

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年

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

Sakai Y., Miyata Y., Yokoi K., Wang Y., Kurata K.

Learned Publishing （Wiley）  36 （ 3 ） 417 - 425 2023年07月

査読有り,  ISSN  09531513

　概要を見る

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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Dataset for" Initial insight of three modes of data sharing: Prevalence of primary reuse, data integration and dataset release in research articles"

Y Sakai, Y Miyata, K Yokoi, Y Wang, K Kurata

(No Title) 2023年

Advantages of Data Reuse Based on Disciplinary Diversity and Citation Count

Ishita E., Miyata Y., Kurata K.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 14458 LNNS   162 - 169 2023年

ISSN  03029743

　概要を見る

The adaption of data sharing is an important process in open science. Prior studies pertaining to data sharing have focused on the data release; however, data reuse is also an important aspect. Although the advantages of data reuse have not yet been demonstrated, they have been expressed in different fields. We selected the most cited datasets in the Data Citation Index – the National Longitudinal Study of Adolescent to Adult Health (Add Health) and the Framingham Cohort – and identified articles that reused them to measure the disciplinary diversity among these articles, as well as advantage in terms of citation counts. Particularly, we identified 2,919 articles that reused the Add Health dataset published in 1,702 resources, indicating high disciplinary diversity. Articles reused that the Framingham Cohort dataset had higher citation counts than those in the journal Circulation from 2004 to 2010. Despite our limited analysis, these results indicate the advantages of data reuse.

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NCR2018 は司書課程でどのくらい教えられているのか

宮田洋輔， 金井喜一郎， 木村麻衣子， 橋詰秋子

日本図書館情報学会春季研究集会発表論文集/日本図書館情報学会春季研究集会事務 … 2023年

図書館情報学研究における破壊性

宮田洋輔

三田図書館・情報学会研究大会発表論文集, 5-8 2023年

ハイパーリンクを用いたデジタルアーカイブの評価

福島幸宏， 宮田洋輔

日本図書館情報学会春季研究集会発表論文集/日本図書館情報学会春季研究集会事務 … 2023年

Dataset for" Prevalence of data reuse and dataset release in research articles: Comprehensive analysis of three modes of data sharing"

Y Sakai, Y Miyata, K Yokoi, Y Wang, K Kurata

(No Title) 2022年

所有とアクセスからみた情報メディアの利用

広江 理紗子, 岩瀬 梓, 吉田 直輝, 王 雨晴, 胡 童飛, 宮田 洋輔, 石田 栄美, 倉田 敬子

Library and Information Science （三田図書館・情報学会）  86   1 - 18 2021年12月

ISSN  24358495

　概要を見る

【目的】情報メディアは，従来所有して利用することが一般的であった。しかし近年，経済活動における多様なサービスの展開，デジタル環境が進む中，アクセスをベースとする利用行動が広まってきている。本研究では，小説，教養書や専門書，漫画，音楽という4種類の情報メディアに関して，先行研究における包括的所有概念の機能構成が断片化するという考え方に基づき，各情報メディアの購入，借出，サブスクリプションといった利用行動を「所有」「準所有」「アクセス1」「アクセス2」「アクセス3」の5類型に整理した上で，現在どの利用が中心になされているのかを明らかにし，利用傾向によって回答者を類型化し，各グループを特徴づけることを目的とする。【方法】日本国内の1,030名（男女，年齢均等割付）を対象にオンラインパネル調査を実施した。設問は情報メディアの利用に関する30項目，情報メディアの志向に関する5項目，情報メディアの利用頻度に関する3項目，機器の所持と利用に関する2項目，性格特性に関する10項目である。情報メディアの利用に関する30項目の回答結果に基づいた階層的クラスタリングによって得られた樹形図に基づき，7クラスタを同定した。【結果】情報メディアの利用に関する質問30項目のうち27項目で，「全くしない／知らない／わからない」という回答が50%以上を占めていた。一方，YouTubeなどの無料動画サイトでの音楽鑑賞を「非常によくする／よくする」と回答した者は41.9%だった。各メディアの利用状況に基づき，情報メディアの利用の少ない5クラスタに対して，それぞれ「YouTubeのみ利用」「非利用」「図書館利用」「音楽利用（定額）」「所有」と名付けた。情報メディアの利用の多い2クラスタに対して，「全メディア積極利用」「積極利用（アクセス3重視）」と名付けた。これらのクラスタに関して，情報メディアの利用頻度，性格傾向などの特徴を整理した。

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Comparison of<SUP>18</SUP>F-FDG PET/CT and<SUP>67</SUP>Ga-SPECT for the diagnosis of fever of unknown origin: a multicenter prospective study in Japan

Kubota, K; Tanaka, N; Miyata, Y; Ohtsu, H; Nakahara, T; Sakamoto, S; Kudo, T; Nishiyama, Y; Tateishi, U; Murakami, K; Nakamoto, Y; Taki, Y; Kaneta, T; Kawabe, J; Nagamachi, S; Kawano, T; Hatazawa, J; Mizutani, Y; Baba, S; Kirii, K; Yokoyama, K; Okamura, T; Kameyama, M; Minamimoto, R; Kunimatsu, J; Kato, O; Yamashita, H; Kaneko, H; Kutsuna, S; Ohmagari, N; Hagiwara, A; Kikuchi, Y; Kobayakawa, M

ANNALS OF NUCLEAR MEDICINE 35 （ 1 ） 31 - 46 2021年01月

ISSN  0914-7187

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Information Media Use: Ownership and Access

Hiroe R., Iwase A., Yoshida N., Wang Y., Hu T., Miyata Y., Ishita E., Kurata K.

Library and Information Science  （ 86 ） 1 - 18 2021年

ISSN  03734447

　概要を見る

Purpose: Information behavior has changed in recent years following the increase in economic activities based on access. Five types of information media use were categorized based on a previous study of ownership: ownership, quasi-ownership, and access types 1, 2, and 3. To clarify the current trends in media use, we conducted a survey of the current uses of four types of media: novels, nonfiction books, comics, and music. The respondents were categorized based on their information media use. Methods: An online panel survey was conducted in Japan with 1,030 participants who were counterbalanced by gender and age. The questions consist of 30 items related to media use, 5 related to physical media orientation, 3 related to frequency of media use, 2 related to possession and use of computer devices, and 10 related to personality. Results: Of the 30 questions on media use, more than half of the respondents answered "never/ don't know/no idea" to 27 questions. However, 41.9% of the respondents answered that they "very often/often" listen to music on free online video-sharing platforms such as YouTube. Seven clusters were identified based on hierarchical clustering from the answers for media use. The five clusters that indicated less use of information media were: "only YouTube," "nonuser," "library user," "music subscription user," and "ownership." The two respondent clusters that used information media frequently were: "active user of all media" and "active user (mainly access type 3)." The characteristics of the clusters were discussed.

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日本の機関リポジトリにおける PDF ファイルの長期保存とアクセシビリティ

安形輝， 宮田洋輔， 池内淳

カレントアウェアネス/国立国会図書館関西館図書館協力課 編, 9-11 2021年

Knowledge structure transition in library and information science: topic modeling and visualization

Miyata Y., Ishita E., Yang F., Yamamoto M., Iwase A., Kurata K.

Scientometrics （SPRINGER）  125 （ 1 ） 665 - 687 2020年10月

筆頭著者, 責任著者, 査読有り,  ISSN  01389130

　概要を見る

The purpose of this research is to identify topics in library and information science (LIS) using latent Dirichlet allocation (LDA) and to visualize the knowledge structure of the field as consisting of specific topics and its transition from 2000–2002 to 2015–2017. The full text of 1648 research articles from five peer-reviewed representative LIS journals in these two periods was analyzed by using LDA. A total of 30 topics in each period were labeled based on the frequency of terms and the contents of the articles. These topics were plotted on a two-dimensional map using LDAvis and categorized based on their location and characteristics in the plots. Although research areas in some forms were persistent with which discovered in previous studies, they were crucial to the transition of the knowledge structure in LIS and had the following three features: (1) The Internet became the premise of research in LIS in 2015–2017. (2) Theoretical approach or empirical work can be considered as a factor in the transition of the knowledge structure in some categories. (3) The topic diversity of the five core LIS journals decreased from the 2000–2002 to 2015–2017.

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Data integration as the major mode of data reuse

Sakai Y., Miyata Y., Yokoi K., Wang Y., Kurata K.

Proceedings of the Association for Information Science and Technology 57 （ 1 ）  2020年10月

　概要を見る

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.

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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 （Wiley）  57 （ 1 ）  2020年10月

ISSN  2373-9231

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Data integration as the major mode of data reuse

Y Sakai, Y Miyata, K Yokoi, Y Wang, K Kurata

Proceedings of the Association for Information Science and Technology 57 (1 … 2020年

Data integration as the major mode of data reuse

Y Miyata, Y Wang, Y Sakai, K Yokoi, K Kurata

Proceedings of the Association for Information Science and Technology 57 2020年