Asahiko Matsuda
(Research Network and Facility Services Division, National Institute for Materials Science
)
;
Masahiko Demura
(Research Network and Facility Services Division, National Institute for Materials Science
)
;
Masayoshi Yamazaki
(National Institute for Materials Science
)
;
Takuya Kadohira
(Research Network and Facility Services Division, National Institute for Materials Science
)
;
Toshihiro Ashino
(Faculty of Regional Development Studies, Toyo University
)
;
Yoshiyuki Furuya
(Research Center for Structural Materials, National Institute for Materials Science
)
;
Kota Sawada
(Research Center for Structural Materials, National Institute for Materials Science
)
;
Nobutaka Nishikawa
(Mizuho Research & Technologies, Ltd.)
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:
Excel data is available under CC BY-NC 4.0. STAM-M paper is available under CC BY 4.0.
Keyword: metallic materials, structural materials, database, data format, data model, creep, fatigue
Date published: 2025-12-31
Publisher: Taylor & Francis
Journal:
Funding:
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
Related item:
Other identifier(s):
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Updated at: 2025-08-01 08:55:21 +0900
Published on MDR: 2025-04-23 08:17:19 +0900
Name / 名称 : metallic materials
Description / 試料の説明 :
Material type /
試料種別
:
metals and alloys
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 |