Before using digital dataset for geological applications it's highly advisable to evaluate the accuracy of the dataset. The inaccuracy and imprecision in spatial dataset can make the results of CIS analysis almost worthless. The evaluation of accuracy in digital dataset is carried out by several indexes such as EO, EC, GI, MI, KIA, among others. In a practical way, existing digital geological databases must be evaluated before acquired. The geological maps derived from digital images processing can also be evaluated in a quantitative way. To establish the rules to select reliable maps is one of the most important goals in a CIS project.Before using digital dataset for geological applications it's highly advisable to evaluate the accuracy of the dataset. The inaccuracy and imprecision in spatial dataset can make the results of CIS analysis almost worthless. The evaluation of accuracy in digital dataset is carried out by several indexes such as EO, EC, GI, MI, KIA, among others. In a practical way, existing digital geological databases must be evaluated before acquired. The geological maps derived from digital images processing can also be evaluated in a quantitative way. To establish the rules to select reliable maps is one of the most important goals in a CIS project.