Data processing involves converting raw data into meaningful information through activities like editing, coding, classifying, tabulating and diagramming data. It is concerned with preparing raw research data for analysis by organizing and managing data files. The goal is to check for errors or inconsistencies in the data and structure it in a way that allows for descriptive and inferential statistical analysis.