Materials Data Platform - a FAIR System for Data-Driven Materials Science

Abstract

We have identified five important approaches as requirements for a FAIR (findable, accessible, interoperable, reusable) materials data platform. To realize these, we are designing a data platform that consists of about ten interconnected subsystems. We aim to incorporate next generation repository (NGR) concepts into our platform; the subsystems share features such as persistent identifier (PID) based resource management, a common metadata model, and vocabulary control. Another vital requirement is that all datasets must be machine-readable and translatable. These features are highly important in developing a platform as a research pipeline capable of handling various materials data – from data creation and efficient collection, to advanced data usage, secure storage, and open publishing.