Dissolved organic matter (DOM) plays a critical role in nutrient cycling and microbial dynamics across ecosystems, but its complexity poses major analytical challenges. To address this, a team led by Prof. Jianjun Wang from the Chinese Academy of Sciences has developed iDOM, a powerful new R package for the statistical analysis and visualization of DOM data. Designed to integrate DOM composition with environmental and microbial factors, iDOM enables researchers to unravel the ecological processes driving DOM dynamics under global change. With tools for trait analysis, diversity metrics, network inference, and temperature response modeling, iDOM offers a robust and reproducible framework for DOM studies worldwide.