Data health refers to the quality, accuracy, reliability, and completeness of data used in environmental reporting, particularly related to greenhouse gas emissions and sustainability metrics. Data health involves ensuring that data is collected, measured, and reported consistently and standardised, free from errors, inconsistencies, or biases. High-data health is essential for making informed decisions, tracking progress, and evaluating the effectiveness of environmental initiatives.