Data calibration is a process in research that involves adjusting or correcting data to ensure accuracy and reliability. This typically involves comparing collected data to a known standard or reference data and making adjustments as needed. The goal of data calibration is to eliminate errors, inconsistencies, and biases in the data and improve the overall quality of the research findings. This process is commonly used in fields such as environmental science, geology, engineering, and physics to ensure that data is reliable and can be confidently used for analysis and decision-making.