Experimental Data Management Platform for Materials Informatics

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.