Data collection is a research component in all study fields, including physical and social sciences, humanities,[2] and business.
The selection of appropriate data collection instruments (existing, modified, or newly developed) and delineated instructions for their correct use reduce the likelihood of errors.
DMPs exist to compile and transform large amounts of demand and supply data into discernible information.
Uncertainty about the flow of information is not recommended, as a poorly organized communication structure leads to lax monitoring and can also limit the opportunities for detecting errors.
Quality control is also responsible for the identification of actions necessary for correcting faulty data collection practices and also minimizing such future occurrences.