This project focused on data quality on the real-time market operations of a power system. In particular, the project addressed the following pertinent issues: (i) in the presence of bad data, to what degree that real-time locational marginal prices are affected? (ii) What are the worst scenarios of bad data that have the most significant impact on real-time prices of electricity? (iii) What are the effects of analog and digital forms of bad data? (iv) What are the potential risks on market operations from cyber data attacks?