論文 Research Data Express: a data accumulation and sharing system for digital transformation in materials research

Jun Fujima SAMURAI ORCID (Research Network and Facility Services Division/Materials Data Platform/Data Application Unit, National Institute for Materials Science) ; Hideki Yoshikawa SAMURAI ORCID (Research Network and Facility Services Division/Materials Data Platform/Data Application Unit, National Institute for Materials Science) ; Hiroko Nagao (Research Network and Facility Services Division/Materials Data Platform/Data Application Unit, National Institute for Materials Science) ; Hiroaki Tosaka (Research Network and Facility Services Division/Materials Data Platform/Data Infrastructure Unit, National Institute for Materials Science) ; Takuya Kadohira SAMURAI ORCID (Research Network and Facility Services Division/Materials Data Platform/Data Infrastructure Unit, National Institute for Materials Science) ; Masahiko Demura SAMURAI ORCID (Research Network and Facility Services Division, National Institute for Materials Science)

コレクション

引用
Jun Fujima, Hideki Yoshikawa, Hiroko Nagao, Hiroaki Tosaka, Takuya Kadohira, Masahiko Demura. Research Data Express: a data accumulation and sharing system for digital transformation in materials research. Science and Technology of Advanced Materials-Methods. 2025, 5 (1), . https://doi.org/10.1080/27660400.2025.2597702

説明:

(abstract)

To accelerate the digital transformation (DX) in materials science, foundational technology for effectively managing vast amounts of data from diverse experiments and calculations and sharing them in a reusable format is essential. However, a significant barrier is that data formats, description styles, and terminologies differ among research fields, instrument manufacturers, and models, and are often not publicly available as readily usable schemas, making them unreadable. Research Data Express (RDE), introduced in this paper, is a highly flexible and scalable data accumulation and sharing system developed to solve these challenges. The core feature of RDE is the “Dataset Template,” which defines the format for data description and translation. Users can flexibly define data structures tailored to their research content using these templates. During data registration, raw files from experimental instruments and manually entered experimental conditions are automatically interpreted, integrated, and structured by a processing program defined in the template. This automated process includes metadata extraction, translation into common domain-specific terms, data visualization, and even the calculation of feature values for machine learning applications. In this paper, we detail the basic design and system architecture of RDE and explain the data management methodology based on Dataset Templates. RDE significantly reduces the burden of routine data processing for researchers and enhances data findability, interoperability, reusability (the FAIR principles), and traceability, thereby strongly promoting data-driven materials research.

権利情報:

キーワード: materials informatics, data management system, digital transformation (DX), dataset Template, workflow automation

刊行年月日: 2025-12-31

出版者: TAYLOR & FRANCIS LTD

掲載誌:

  • Science and Technology of Advanced Materials-Methods (ISSN: 27660400) vol. 5 issue. 1

研究助成金:

原稿種別: 出版者版 (Version of record)

MDR DOI:

公開URL: https://doi.org/10.1080/27660400.2025.2597702

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更新時刻: 2025-12-19 16:30:40 +0900

MDRでの公開時刻: 2025-12-19 14:11:40 +0900

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