TY - GEN
T1 - Developing Categories of Data Reuse Patterns for the Medical Field
AU - Ishita, Emi
AU - Miyata, Yosuke
AU - Kurata, Keiko
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
KW - Data Reuse
KW - Framingham Cohort
KW - Open Science
UR - https://www.scopus.com/pages/publications/85213041825
UR - https://www.scopus.com/pages/publications/85213041825#tab=citedBy
U2 - 10.1007/978-981-96-0868-3_22
DO - 10.1007/978-981-96-0868-3_22
M3 - Conference contribution
AN - SCOPUS:85213041825
SN - 9789819608676
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 260
EP - 266
BT - Sustainability and Empowerment in the Context of Digital Libraries - 26th International Conference on Asia-Pacific Digital Libraries, ICADL 2024, Proceedings
A2 - Oliver, Gillian
A2 - Frings-Hessami, Viviane
A2 - Du, Jia Tina
A2 - Tezuka, Taro
PB - Springer Science and Business Media Deutschland GmbH
T2 - 26th International Conference on Asia-Pacific Digital Libraries, ICADL 2024
Y2 - 4 December 2024 through 6 December 2024
ER -