Governança de dados em Sistemas-de-Sistemas por meio de dados de proveniência

Abstract

The growing use of Systems of Systems (SoS), characterized by the integration of autonomous systems that cooperate to achieve superior capabilities, has created new challenges in data governance, especially in complex and distributed contexts. The main difficulty lies in data traceability, quality, and integrity. Since information generated by one system is often reused by others, the absence of effective control mechanisms compromises the reliability and auditability of the data life cycle. In this context, this dissertation pro- poses the PROVGov-SoS approach as a solution based on provenance data management, with the goal of structuring the information flow among systems so as to make the origin and transformations of data visible through the capture, persistence, and querying of provenance data modeled according to the W3C PROV standard. By enabling users and agents to understand the information life cycle, PROVGov-SoS strengthens transparency, accountability, and data security in interconnected environments. The approach was eva- luated through a feasibility study in a real SoS, and the results demonstrated its ability to provide explanatory views of data flows, support the analysis of information trajectories, and facilitate the identification of inconsistencies.