Data collection is the process of gathering and measuring information on variables of interest, in an established systematic fashion that enables one to answer stated research questions, test hypotheses, and evaluate outcomes.
Data capture is the process of collecting data which will be processed and used later to fulfil certain purposes. Ways of capturing data can range from high end technologies to low end paper instruments used in the field.
Determining what is or is not plausible early in the planning phase is crucial so that appropriate checks can be put in place, for example, identify and query out-of-range, or invalid data. Computer systems can be programmed to identify outlying data or impossible relationships between different data.
Modular courses (TGHN e-Learning):