Japanese Data in Global Plant Research

This project aims to streamline the integration of Japanese plant research data into the global data ecosystem using the FAIR Data-finder for Agronomic Research (FAIDARE) and Breeding API (BrAPI) standards. Despite the large and diverse datasets generated in plant research, there are significant barriers to efficient data use due to findability and interoperability issues. Our initiative addresses these challenges by adopting the Minimum Information About Plant Phenotyping Experiments (MIAPPE) ...