4 - Data Fundamentals

Abstract

Data is one component in a system. It has value. The economics of increasingly data-centric systems is explored. There is a growing reliance on data to create systems that are larger scale, have wider scope and are more complex. As reliance on the data component increases, a self-reinforcing problem of implementing checks and balances necessary to enforce appropriate levels of risk reduction arises. This chapter introduces data architecture elements of container and content. It places this architecture within an appropriate data context. It introduces the concepts of data quality and data integrity. Data integrity is placed within the Safety Management and Safety Assurance processes. Big data and machine learning are considered in this context.