Quality data in toxicology must be accurate, reliable, and reproducible. It should be collected using standardized methods that are well-documented and peer-reviewed. The data should also be robust, meaning it can withstand scrutiny and produce consistent results across different studies. High-quality data often comes from controlled experiments, such as those conducted in laboratories, where variables can be carefully managed. Furthermore, data transparency, including clear documentation of methodologies and data sources, is essential for validation and reproducibility.
