Many steps are involved in the process of turning an initial concept for a database into a finished product that meets the needs of its user community. In this paper, we describe those steps in the context of a four- phase process with particular emphasis on the quality-related issues that need to be addressed in each phase to ensure that the final product is a high quality database. The basic requirements for a successful database quality process are presented with specific examples drawn from experience gained in the Standard Reference Data Program at the National Institute of Standards and Technology.
Blakeslee, D. M., & Rumble, Jr., J. (2006). The essentials of a database quality process. Data Science Journal, 2, 35–46. https://doi.org/10.2481/dsj.2.35