データセット Supplemental data to 'A unified model for metallic materials reliability data and its application in NIMS Metallic Materials Database (Kinzoku)'

Asahiko Matsuda SAMURAI ORCID (Research Network and Facility Services Division, National Institute for Materials ScienceROR) ; Masahiko Demura SAMURAI ORCID (Research Network and Facility Services Division, National Institute for Materials ScienceROR) ; Masayoshi Yamazaki (National Institute for Materials ScienceROR) ; Takuya Kadohira SAMURAI ORCID (Research Network and Facility Services Division, National Institute for Materials ScienceROR) ; Toshihiro Ashino ORCID (Faculty of Regional Development Studies, Toyo UniversityROR) ; Yoshiyuki Furuya SAMURAI ORCID (Research Center for Structural Materials, National Institute for Materials ScienceROR) ; Kota Sawada SAMURAI ORCID (Research Center for Structural Materials, National Institute for Materials ScienceROR) ; Nobutaka Nishikawa (Mizuho Research & Technologies, Ltd.)

コレクション

引用
Asahiko Matsuda, Masahiko Demura, Masayoshi Yamazaki, Takuya Kadohira, Toshihiro Ashino, Yoshiyuki Furuya, Kota Sawada, Nobutaka Nishikawa. Supplemental data to 'A unified model for metallic materials reliability data and its application in NIMS Metallic Materials Database (Kinzoku)'. https://doi.org/10.1080/27660400.2025.2518745

説明:

(abstract)

A data model to organize metallic materials’ reliability properties are presented, along with data format variations to implement the conceptual model. By analysing the structures behind the Creep Data Sheet and Fatigue Data Sheet series from the National Institute for Materials Science (NIMS), commonalities were identified to establish a standardized list of entities and their relationships. The data model incorporates a multilayered approach that acknowledges both uniform materials and non-uniform materials such as welded joints. Standardized identifier system supports interlinking between the different entities. The model was shown to be applicable to data from various independent initiatives and is effective in supporting datasets for machine learning. The model was implemented in three different formats: spreadsheets, relational database, and key-value document store. Their characteristics are comparatively discussed. Plain-text spreadsheets provide low-barrier editing and are version controllable. Relational database management systems offer data integrity and fast querying, suitable as a backend to a web application; NIMS’s Metallic Materials Database (Kinzoku) system was renewed by taking advantage of these characteristics. Key-value document stores can be flexible, highly machine-readable, and self-describing. They also allow for linking with external ontology for heterogeneous data integration. Digitized management of materials reliability data using this model supports storage, federation, and accelerated utilization in data-driven methodologies.

データの性質: informatics_and_data_science

権利情報:

キーワード: metallic materials, structural materials, database, data format, data model, creep, fatigue

刊行年月日: 2025-12-31

出版者: Taylor & Francis

掲載誌:

  • Science and Technology of Advanced Materials: Methods (ISSN: 27660400) vol. 5 issue. 1 2518745

研究助成金:

  • Ministry of Education, Culture, Sports, Science and Technology JPMXP1122684766 (Data Creation and Utilization-Type Materials Research and Development Project (DxMT))
  • Council for Science, Technology and Innovation (CSTI) Cross-Ministerial Strategic Innovation Promotion Program (SIP) (Materials Integration for Revolutionary Design System of Structural Materials)

原稿種別: 出版者版 (Version of record)

MDR DOI: https://doi.org/10.48505/nims.5449

公開URL: https://doi.org/10.1080/27660400.2025.2518745

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その他の識別子:

連絡先:

更新時刻: 2025-08-01 08:55:21 +0900

MDRでの公開時刻: 2025-04-23 08:17:19 +0900

Specimen / 試料

Name / 名称 : metallic materials

Description / 試料の説明 :

Material type / 試料種別 : 金属・合金 MatVoc

Material type description / 試料種別の説明 :

Identifier / 識別子 :

ファイル名 サイズ
ファイル名 Kinzoku-spreadsheet-columns-0.6.xlsx (サムネイル)
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
サイズ 35.1KB 詳細
ファイル名 Matsuda et al 2025 STAM-M.pdf
application/pdf
サイズ 1.76MB 詳細