It is broadly recognized that supply chain software data outputs lead to unauthorized network compromises (Enck & Williams, 2022) (Charles et al., 2023). Nevertheless, data generated by emergency management services (EMS), fire and public safety, and public healthcare supply chain software platforms present serious risks to the Smart City reliability. To survive, policymakers, Chief Information Security Officers (CISOs), Chief Data Officers (CDOs), and Information Security (InfoSec) scholars must rely on a constantly evolving Smart City workforce to identify potential InfoSec threats. The purpose of this study is to introduce a Smart City data literacy framework focused on identifying potential supply chain data compromises. The theoretical foundation of this paper is built on data literacy critical success factors, enterprises roles, and technology threat avoidance theories. This research establishes several pillars by comparing and contrasting data literacy competency principles across Federal Chief Information Officers Council (CIOC) agencies. Moreover, this study contributes to the InfoSec body of knowledge by describing the relationship between the CISO and CDO roles in data security