The data life cycle organizes and illustrates the elements of data management. Our data are corporate assets with value beyond our immediate need and should be managed throughout the entire data life cycle.
Planning for a project involves making decisions about data management, potential products, as well as data stewardship roles and responsibilities. It is important to document all stages of the data management life cycle and quality control prior to beginning a new project.
Evaluate represents steps associated with processing and analyzing data. Important goals for both the processing and analysis of data are maximizing accuracy and productivity while minimizing costs.