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.
CODATA Data Science Journal
data, database, interface quality, review scientific data, software, technical data
and Rumble, J.
The Essentials of a Database Quality Process, CODATA Data Science Journal
(Accessed June 5, 2023)