Smartphones today have built in sensors including accelerometers, compasses, GPS and sensors for pressure, relative humidity, temperature and light. These sensors are used in a wide variety of applications ranging from weather, travel, interactive games, displaying relevant adverts based on user location and preferences. This project focuses on 2 test cases to identify ways to track and measure data quality of the information obtained from android smartphone sensors. In the first test case, we look at the android motion sensor that measures gravity, accelerometer and orientation of the device. While in the second case, we look at the weather sensor that has barometer (pressure) data and temperature data (finding the correlation between external temperature retrieved from weather API and battery temperature retrieved from battery sensors). I started with gathering data from different android devices and studying ways to explore alternatives to generate attributes for creating Data Quality (DQ) metric to measure the accuracy and quality of phone sensors. To track and measure data obtained from motion sensors, I primarily focused on finding out DQ metric to help determine calibration errors in the sensors. In case of weather sensors (barometer) I looked at comparing the real time data obtained from phones with data from weather API’s. I believe that this particular application research can be very valuable in developing crowdsourcing applications to securely capture smartphone data without compromising user privacy. This can also act as a precursor to large-scale data mining to help interpret different trends of smartphone usage. Moreover, this study can also be very helpful in developing an android sensor diagnostic application to diagnose any possible physical damage to a device and monitor its condition. As part of this project, I have developed a distributed application that focuses on continuous integration of device data to cloud-based server, which helps in generating rapid and readjusted DQ indicators during data collection. This can also act as a continuous monitoring system for motion and environment sensors of android devices.