# Designing a Unified Data Structure for Solid-Electrolyte Research Projects https://mdr.nims.go.jp/datasets/411c9781-0e4c-4be7-af67-cfd8e1402a17 ## File - [TSTM-2025-0032.R1_graphical_abstract.pdf](https://mdr.nims.go.jp/filesets/0b8611f8-39a8-4091-9505-b3f3cf3c23d3/download) ([Detail](https://mdr.nims.go.jp/filesets/0b8611f8-39a8-4091-9505-b3f3cf3c23d3.md)) - [TSTM-2025-0032.R1_data for Figure 15.zip](https://mdr.nims.go.jp/filesets/0ec976a0-a9c8-4a9b-a13b-662df96663fe/download) ([Detail](https://mdr.nims.go.jp/filesets/0ec976a0-a9c8-4a9b-a13b-662df96663fe.md)) - [Designing a unified data structure for solid-electrolyte research projects.pdf](https://mdr.nims.go.jp/filesets/8185dc25-fd33-44c6-b1a2-6a26356065a8/download) ([Detail](https://mdr.nims.go.jp/filesets/8185dc25-fd33-44c6-b1a2-6a26356065a8.md)) ## Id 411c9781-0e4c-4be7-af67-cfd8e1402a17 ## Local identifier ## Visibility open_to_public ## State published ## Created at 2025-10-02T09:52:09.769888Z ## Updated at 2025-12-18T23:30:30.981278Z ## Published at 2025-12-18T10:08:29.041971Z ## Doi https://doi.org/10.48505/nims.5798 ## First published url https://doi.org/10.1080/27660400.2025.2568365 ## Date published 2025-12-31 ## Recorded date published 2025-12-31 ## Resource type dataset ## Manuscript type vor ## Collection ## Title - title: Designing a Unified Data Structure for Solid-Electrolyte Research Projects title_type: original lang: en ## Description - description: "次世代電池用固体電解質の研究プロジェクトにおいて、複数研究機関から収集された実験データの再利用を促進するためのデータ構造を設計した。研究機関ごとにデータ形式や項目が異なるため、これらのデータを統合・共同利用することは極めて困難である。したがって、(1) 研究者が容易に利用でき、(2) データに共通性を持たせ、(3) 第三者にも理解しやすいデータ構造が求められる。本研究では、複数機関の実験データを分析し、各プロセスを「プロセス素単位」に分解し、これらを連結した「プロセスチェーン」によりプロセス情報を表現するデータ構造を提案した。さらに、NIMSが開発したクラウド型データ収集システムRDEを導入し、スプレッドシート形式とRDE形式を連携させることで、データの収集と管理の効率化を図った。本データ構造は固体電解質に限らず、他の材料の実験データ管理にも適用可能であり、分野横断的なマテリアルデータの蓄積手法として有用である。\r\n" description_type: abstract lang: eng - description: "We designed a data structure to promote the reuse of experimental data collected from multiple research institutions in a research project on solid electrolytes for next-generation batteries. Leveraging data from multiple research institutions is extremely challenging because the data formats and items differ, preventing their integration and joint use. Therefore, a data structure is required that meets the following criteria: (1) it is readily usable by researchers, (2) it introduces \r\ncommonality into the data, and (3) it is easily understood by third parties. By analysing experimental data from several institutions, we decomposed each process into \"elementary process units\" and proposed a \"process‑chain\" data structure created by concatenating these units. Furthermore, by adopting RDE— the cloud‑based data acquisition system developed by NIMS—and linking the \r\ntabular format to the RDE format, we streamlined data collection and management. The proposed data structure is not limited to solid electrolytes but can also be applied to the management of experimental data for other materials, making it useful as a cross-disciplinary method for accumulating material data. " description_type: abstract lang: en - description: "次世代電池用固体電解質の研究プロジェクトにおいて、複数研究機関から収集された実験データの再利用を促進するためのデータ構造を設計した。研究機関ごとにデータ形式や項目が異なるため、これらのデータを統合・共同利用することは極めて困難である。したがって、(1) 研究者が容易に利用でき、(2) データに共通性を持たせ、(3) 第三者にも理解しやすいデータ構造が求められる。本研究では、複数機関の実験データを分析し、各プロセスを「プロセス素単位」に分解し、これらを連結した「プロセスチェーン」によりプロセス情報を表現するデータ構造を提案した。さらに、NIMSが開発したクラウド型データ収集システムRDEを導入し、スプレッドシート形式とRDE形式を連携させることで、データの収集と管理の効率化を図った。本データ構造は固体電解質に限らず、他の材料の実験データ管理にも適用可能であり、分野横断的なマテリアルデータの蓄積手法として有用である。\r\n" description_type: abstract lang: eng - description: "We designed a data structure to promote the reuse of experimental data collected from multiple research institutions in a research project on solid electrolytes for next-generation batteries. Leveraging data from multiple research institutions is extremely challenging because the data formats and items differ, preventing their integration and joint use. Therefore, a data structure is required that meets the following criteria: (1) it is readily usable by researchers, (2) it introduces \r\ncommonality into the data, and (3) it is easily understood by third parties. By analysing experimental data from several institutions, we decomposed each process into \"elementary process units\" and proposed a \"process‑chain\" data structure created by concatenating these units. Furthermore, by adopting RDE— the cloud‑based data acquisition system developed by NIMS—and linking the \r\ntabular format to the RDE format, we streamlined data collection and management. The proposed data structure is not limited to solid electrolytes but can also be applied to the management of experimental data for other materials, making it useful as a cross-disciplinary method for accumulating material data. " description_type: abstract lang: en ## Creator - name: Yasuhiro Fujiwara role: author orcid: https://orcid.org/0000-0003-1005-6131 organization: National Institute for Materials Science department: Research Network and Facility Services Division/Materials Data Platform/Data Application 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 - name: Kazunori Takada role: author orcid: https://orcid.org/0000-0001-7568-1806 organization: National Institute for Materials Science department: Research Center for Energy and Environmental Materials (GREEN)/Battery and Cell Materials Field/Solid-State Battery Group - name: Kota Suzuki role: author organization: Institute of Science Tokyo - name: Satoshi Hori role: author organization: Institute of Science Tokyo - name: Masaki Azuma role: author organization: Institute of Science Tokyo - name: Ryoji Kanno role: author organization: Institute of Science Tokyo - name: Yoshiyuki Inaguma role: author organization: Gakushuin University - name: Akitoshi Hayashi role: author organization: Osaka Metropolitan University - name: Yasutoshi Iriyama role: author organization: Graduate School of Engineering, Nagoya University - name: Hirotoshi Yamada role: author organization: Nagasaki University - name: Tetsuhiro Katsumata role: author organization: Tokai University ## Contact agent ## Publisher organization: Taylor & Francis ## Managing organization ## Keyword - subject: process chain schema: not_defined - subject: data structure schema: not_defined - subject: data model schema: not_defined - subject: data management schema: not_defined - subject: Research Data Express schema: not_defined - subject: RDE schema: not_defined - subject: solid electrolytes 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' article_number: '2568365' ## Conference ## Related item - title: Designing a unified data structure for solid-electrolyte research projects identifier: https://doi.org/10.1080/27660400.2025.2568365 identifier_type: DOI relation_type: is_supplement_to related_item_type: journal_article ## Funding - identifier: JPMJGX23S6 funder_name: JST description: GteX ## 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: 0b8611f8-39a8-4091-9505-b3f3cf3c23d3 filename: TSTM-2025-0032.R1_graphical_abstract.pdf content_type: application/pdf size: 70244 md5: 8df0fb5fa4c6a36e926c44335b91fc85 - id: 0ec976a0-a9c8-4a9b-a13b-662df96663fe filename: TSTM-2025-0032.R1_data for Figure 15.zip content_type: application/zip size: 117346 md5: cf88fba5864034f5c5b9b4403957c6b8 - id: 8185dc25-fd33-44c6-b1a2-6a26356065a8 filename: Designing a unified data structure for solid-electrolyte research projects.pdf content_type: application/pdf size: 4917294 md5: 50ca6081b200fa7591b2f4b0fe3537e3 ## Thumbnail fileset_id: 0b8611f8-39a8-4091-9505-b3f3cf3c23d3 filename: TSTM-2025-0032.R1_graphical_abstract.pdf