Japan Geoscience Union Meeting 2025

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[J] Oral

M (Multidisciplinary and Interdisciplinary) » M-ZZ Others

[M-ZZ43] Transdisciplinary Network linking Space-Earth Environmental Science with History and Archaeology

Sun. May 25, 2025 3:30 PM - 5:00 PM Convention Hall (CH-A) (International Conference Hall, Makuhari Messe)

convener:Masayo Minami(Institute for Space-Earth Environmental Research, Nagoya University), Minoru Sakamoto(Inter-University Research Institute Corporation, National Institutes for the Humanities, National Museum of Japanese History), Akira Kadokura(Joint Support-Center for Data Science Research, Research Organization of Information and Systems), Masao OHNO(Kyushu University), Chairperson:Masayo Minami(Institute for Space-Earth Environmental Research, Nagoya University), Akira Kadokura(Joint Support-Center for Data Science Research, Research Organization of Information and Systems), Minoru Sakamoto(Inter-University Research Institute Corporation, National Institutes for the Humanities, National Museum of Japanese History), Masao OHNO(Kyushu University)

4:00 PM - 4:15 PM

[MZZ43-08] Multidisciplinary research database AMIDER and developments for its metadata management

*Masayoshi Kozai1, Yoshimasa Tanaka1, Shuji Abe2, Yasuyuki Minamiyama3, Atsuki Shinbori4, Akira Kadokura1 (1.ROIS-DS, 2.Kyushu Univ., 3.NII, 4.Nagoya Univ.)

Keywords:Research data management, Data publication, Cross disciplinary, Metadata

The AMIDER, Advanced Multidisciplinary Integrated-Database for Exploring new Research, is a new research data catalog launched in April 2024 (https://amider.rois.ac.jp/), aiming at making research data more open. AMIDER is characterized by a multidisciplinary database equipped with a user-friendly web application. Its catalog view displays diverse research data (e.g., scientific experiment data) at once beyond any limitation of each individual discipline. The attached figure from our recent report paper (https://doi.org/10.5334/dsj-2025-007) shows the catalog view on AMIDER's top page. Some useful functions, such as Japanese/English switching, selectable data download, data format conversion, and display of data visual information, are also implemented. These characteristics and functions are expected to enhance the accessibility to individual research data, even from non-expert users, and be helpful for collaborations among diverse scientific fields beyond individual disciplines.
Metadata of research data is the essential information of research databases, including AMIDER, to secure data accessibility and interoperability. It is also an attractive research target where natural language processing (NLP) and AI technology will be leveraged, and collaborations between different-type research data will be achieved. We are developing a general XML handling tool applicable to any metadata schema and attempting to leverage a generative AI and text mining approach. This talk will introduce the AMIDER and report on such metadata-related activities.