Speakers
Description
As FAIRmat is about to enter its second funding phase, a key challenge is the harmonization of data models across synthesis and characterization research data workflows. Historically, these areas have followed different approaches to metadata modeling, reflecting distinct requirements for flexibility, usability, and standardization. These approaches range from flexible, ELN-oriented schemas designed to support everyday research workflows to highly standardized representations focused on interoperability and long-term data reuse.
This session will discuss ongoing efforts aimed at bringing these perspectives together into a coherent framework that combines usability, extensibility, and interoperability. We will present current progress towards a more coherent data model, identify common requirements and challenges, and discuss how a shared data-modeling strategy can support FAIRmat's long-term goals.