In the field of toxicology, data cleaning is vital for several reasons:
Accuracy and Precision: Clean data ensures that statistical analyses are accurate, leading to more precise and reliable results. Regulatory Compliance: Toxicological data often supports regulatory decision-making. Clean data helps meet the stringent requirements of regulatory bodies. Risk Assessment: Accurate data is essential for assessing the risk to human health and the environment from chemical exposures. Reproducibility: Clean datasets enhance the reproducibility of research findings, a fundamental aspect of scientific integrity.