# Research Data Express: a data accumulation and sharing system for digital transformation in materials research https://mdr.nims.go.jp/datasets/a20e8d3e-338b-4d37-93fe-36bf9afe42a7 ## File - [Research data express a data accumulation and sharing system for digital transformation in materials research.pdf](https://mdr.nims.go.jp/filesets/13b23cc0-41ec-46b7-aaad-6b552865e442/download) ([Detail](https://mdr.nims.go.jp/filesets/13b23cc0-41ec-46b7-aaad-6b552865e442.md)) - [figs.zip](https://mdr.nims.go.jp/filesets/67f4f6b4-66ed-473a-87f4-10ce37a41b79/download) ([Detail](https://mdr.nims.go.jp/filesets/67f4f6b4-66ed-473a-87f4-10ce37a41b79.md)) ## Id a20e8d3e-338b-4d37-93fe-36bf9afe42a7 ## Local identifier ## Visibility open_to_public ## State published ## Created at 2025-12-16T03:44:48.116234Z ## Updated at 2025-12-19T07:30:40.572021Z ## Published at 2025-12-19T05:11:40.475432Z ## Doi ## First published url https://doi.org/10.1080/27660400.2025.2597702 ## Date published 2025-12-31 ## Recorded date published 2025-12-31 ## Resource type journal_article ## Manuscript type vor ## Collection ## Title - title: 'Research Data Express: a data accumulation and sharing system for digital transformation in materials research' title_type: original lang: en ## Description - description: 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. description_type: abstract lang: eng ## Creator - name: Jun Fujima role: author orcid: https://orcid.org/0000-0002-0858-8035 organization: National Institute for Materials Science department: Research Network and Facility Services Division/Materials Data Platform/Data Application Unit - name: Hideki Yoshikawa role: author orcid: https://orcid.org/0000-0002-7389-8865 organization: National Institute for Materials Science department: Research Network and Facility Services Division/Materials Data Platform/Data Application Unit - name: Hiroko Nagao role: author organization: National Institute for Materials Science department: Research Network and Facility Services Division/Materials Data Platform/Data Application Unit - name: Hiroaki Tosaka role: author organization: National Institute for Materials Science department: Research Network and Facility Services Division/Materials Data Platform/Data Infrastructure Unit - name: Takuya Kadohira role: author orcid: https://orcid.org/0000-0003-0569-1309 organization: National Institute for Materials Science department: Research Network and Facility Services Division/Materials Data Platform/Data Infrastructure Unit - name: Masahiko Demura role: author orcid: https://orcid.org/0000-0002-7308-3041 organization: National Institute for Materials Science department: Research Network and Facility Services Division ## Contact agent ## Publisher organization: TAYLOR & FRANCIS LTD ## Managing organization ## Keyword - subject: materials informatics schema: not_defined - subject: data management system schema: not_defined - subject: digital transformation (DX) schema: not_defined - subject: dataset Template schema: not_defined - subject: workflow automation schema: not_defined ## Rights - identifier: https://creativecommons.org/licenses/by/4.0/ ## Other identifier(s) ## Data origin - data_origin_type: other ## Embargo ## Journal - title: Science and Technology of Advanced Materials-Methods issn: '27660400' volume: '5' issue: '1' ## Conference ## Related item ## Funding ## Instrument ## Instrument operator ## Instrument managing organization ## Measurement method ## Specimen ## Chemical composition ## Structure for specimen ## Structural feature for specimen ## Specific property for specimen ## Process for specimen treatment ## Computational method ## Energy level/transition state ## Software ## Custom property ## Fileset - id: 13b23cc0-41ec-46b7-aaad-6b552865e442 filename: Research data express a data accumulation and sharing system for digital transformation in materials research.pdf content_type: application/pdf size: 5355934 md5: b70dadda5b3ea0008e65124bdcbe4939 - id: 67f4f6b4-66ed-473a-87f4-10ce37a41b79 filename: figs.zip content_type: application/zip size: 2339624 md5: 45b1b1e2e75676925759c59ff62656d6 ## Thumbnail fileset_id: 13b23cc0-41ec-46b7-aaad-6b552865e442 filename: Research data express a data accumulation and sharing system for digital transformation in materials research.pdf