EXTENDED ABSTRACT: Systematically structured materials research data is not only major R&D asset but core resource that empowers materials design capability by machine learning methods. It would be essential for efficiently retrieving the materials data from various sources to standardize the data keywords and specify the data type and unit of numeric data. Furthermore, materials design by machine learning necessitates the information of the relationship between materials properties and composition, structure or process conditions. Well-structured materials research data should be thus collected and managed to include this relationship. Committee for Materials Research Data in Korea suggested the materials data structure that can consistently manage the materials research data. The committee is aiming at the standardization of data schema and vocabularies that can be homogeneously embrace the process-structure-property relation in wide scope of materials sub-disciplines. The concept of “materials system” was thus used for standard scheme of materials research data that can manage materials data of wide range of applications. Based on this data schema, the Committee published a dictionary of standard materials vocabulary. In this seminar, I will introduce the standard schema and vocabulary being developed in Korea. It will be discussed about the compatibility with the data structures worldwide for promoting FAIR principles of materials research data.

Keywords: Standard Schema, Data Keyword Standard, Ontology, Materials Research Data

Acknowledgement: Committee for Materials Research Data Standard is supported by the National Research Foundation through the National Center for Materials Research Data in Korea.

REFERENCES:

[1] https://github.com/krlee227/MatResData-Standard-Committee