This symposium aims to facilitate global collaboration on large-scale materials research data by employing harmonized terminologies and schemas aligned with the FAIR (Findable, Accessible, Interoperable, Reusable) principles for materials R&D data.

Building on the successes of previous symposia held in 2022(KINTEX, Korea), 2023(Wiesbaden, Germany), and 2024(Jeju, Korea), the 4th symposium will take place in Namiki Site, NIMS, Japan, with a focus on establishing global consensus for FAIR R&D data in materials science.

We will examine current barriers to data sharing, considering not only terminologies but also optimized data structures for efficient, data-driven materials design and analytics. Furthermore, practical aspects of data sharing across various sub-disciplines of materials science will be extensively discussed, aiming to advance global efforts in data sharing. 

Sessions

• Keynote Session 

• National Initiative for R&D Data Infra

• Special Session of NIMS Data Platform

• Material R&D Data Ontologies and Schema

• Autonomous Laboratory

• Recent Progress in Machine Learning Interatomic Potential

• Materials Research using Large Language Model