Dataset 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.)

Collection

Citation
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

Description:

(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.

Data origin type: informatics_and_data_science

Rights:

Keyword: metallic materials, structural materials, database, data format, data model, creep, fatigue

Date published: 2025-12-31

Publisher: Taylor & Francis

Journal:

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

Funding:

  • 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)

Manuscript type: Publisher's version (Version of record)

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

First published URL: https://doi.org/10.1080/27660400.2025.2518745

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Updated at: 2025-08-01 08:55:21 +0900

Published on MDR: 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 : metals and alloys MatVoc

Material type description / 試料種別の説明 :

Identifier / 識別子 :

Filename Size
Filename Kinzoku-spreadsheet-columns-0.6.xlsx (Thumbnail)
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
Size 35.1 KB Detail
Filename Matsuda et al 2025 STAM-M.pdf
application/pdf
Size 1.76 MB Detail