Volume 18 Number 2 (May. 2023)
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JSW 2023 Vol.18(2): 99-105
doi: 10.17706/jsw.18.2.99-105

Experimental Data Management Platform for Materials Informatics

Hideya Yoshiuchi*, Hiroki Miyamoto, Sayaka Tanimoto
Monika Ciesielkiewicz1,*, Claire F. Bonilla2, and Carlos Olave-Lopez-de-Ayala3
1. School of Education, Computense Unversity of Madrid, Spain
2. Department of Computer Science, UDIMA—Universidad a Distancia de Madrid, Spain
3. School of Ecomomics, University of Valencia, Spain
Email: monikacies@gmail.com(M.C.); clairefbonilla@gmail.com(C.F.B.); carolode@alumni.uv.es(C.O.-L.A.)
*Corresponding author

Hitachi, Ltd., Research & Development Group, Kokubunji, Tokyo, Japan.

Abstract—We are promoting the research and development of materials informatics, which realizes the efficiency and sophistication of material research by utilizing a huge amount of experimental data. In order to accelerate new material research and development, it is important to predict the results of new ma-terial development by unimplemented experiments from past experimental data, and for that purpose, a large amount of experimental data generated through various material research processes is used for business. The challenge of material research is to reduce the time for search and acquire data from enormous experiment data. In this paper, we show the experimental da-ta management platform by describing the research and development work-flow with a unified data model. Through prototyping and evaluating the pro-posed technique, we confirmed that the time required for system construction and data acquisition of required experimental data can be reduced by an average of 94.4% in the target work.

Index Terms—Materials informatics, data management platform.


Cite: Hideya Yoshiuchi, Hiroki Miyamoto, Sayaka Tanimoto, "Experimental Data Management Platform for Materials Informatics," Journal of Software vol. 18, no. 2, pp. 99-105, 2023.

Copyright @ 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0)

General Information

ISSN: 1796-217X (Online)
Frequency:  Quarterly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKIGoogle Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsweditorialoffice@gmail.com
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