Data uncertainty refers to the lack of precision or reliability in the information available for evaluating the toxicity of substances. This can arise from various aspects, including variability in biological systems, experimental design limitations, and analytical challenges. Understanding and addressing these uncertainties are crucial for accurate risk assessment and decision-making.
