講演情報
[U04-P03]AMIDER: A Multidisciplinary Research Data Catalog and Its Initiatives for Data Discovery and Curation★Invited Papers
*小財 正義1、田中 良昌1、阿部 修司2、南山 泰之3、新堀 淳樹7、張 麒1、門倉 昭1、新原 俊樹4、甲斐 尚人5、戸簾 隼人6、義久 智樹6 (1.情報・システム研究機構 データサイエンス共同利用基盤施設、2.九州大学 国際宇宙惑星環境研究センター、3.東京大学 社会科学研究所、4.福岡国際医療福祉大学 医療学部、5.大阪大学 D3センター、6.滋賀大学大学院 データサイエンス研究科、7.名古屋大学 宇宙地球環境研究所)
キーワード：
研究データ管理、オープンデータ、データ公開、メタデータ
Sharing research data, such as scientific experiment data, forms a basis for studying complex systems in nature across Earth and planetary sciences. The AMIDER (Advanced Multidisciplinary Integrated-database for Exploring new Research) website was released at https://amider.rois.ac.jp in April 2024 to demonstrate an advanced data-sharing platform (Kozai et al., 2025, Data Science Journal). It targets non-expertized users interested in connecting to diverse scientific fields. Over 15,000 metadata records, mainly in polar science, including solar-terrestrial observations, meteorological data, meteorite samples, and animal specimens, have been registered through a collaboration with polar science communities. AMIDER is characterized as an integrated system applicable to different data types, such as physical observation data and specimens, and a user-friendly web application. Users can quickly grasp diverse research data at a glance through AMIDER's catalog view, inspired by web marketing and featuring thumbnail images and snippets. Multidisciplinary data curation and management are also AMIDER’s uniqueness, where multiple metadata schemas (the SPASE and ISO GMD data models) are integrated. For the content data, the AMIDER system handles standardized, self-describing data formats (CDF and NetCDF), enabling useful functions such as format conversion. Data curation software, such as metadata handling tools, is developed and released (https://github.com/AMIDER-dev). More advanced attempts, such as applying text mining techniques to metadata, are also ongoing. These approaches provide new data promotion techniques, including visualisation of cross-data knowledge graphs, and offer insights for improving metadata quality. In this presentation, we introduce the concept, design, operation status, and experimental efforts of the AMIDER project.