For several years, the SCSC Data Safety Initiative Working Group(DSIWG) has been meeting to develop methods for ensuring data safety issues, as distinct from hardware and software issues, are assessed and mitigated throughout the system engineering lifecycle. Current systems engineering approaches consider the functionality and quality attributes associated with the system(including data flow modelling), but not the properties specific to the data being used, stored and manipulated by that system. We need to delve into the detail of data within systems, as our increasing reliance on data threatens the safety and security of our designs. This paper attempts to show how the DSIWG Data Safety Guidance can be implemented with methods for managing data risks, enabling us to design and build more robust systems.