Database uncertainty factors are numerical values used in risk assessment to account for gaps, limitations, or uncertainties in toxicological data. These factors are applied to extrapolate data from animal studies to humans or to account for variations within human populations. By applying these factors, toxicologists aim to ensure that safety standards are protective of public health, even when data is incomplete or uncertain.
