Received 02.03.2026, Revised 14.07.2026, Accepted 01.09.2026 Published 29.09.2026
The purpose of the study was to identify management models that can ensure consistent data exchange in the context of digital transformation of the public sector. The methodology was based on an interdisciplinary combination of tools of public administration, digital governance, analysis of information systems, and ethno-political studies, which allowed tracing the features of the functioning of state registers, mechanisms of interdepartmental interaction, and data management practices during 2015-2025 through comparative analytical and institutional approaches. The results of the study showed that “information silos” in ethno-national policy are formed through the differentiation of competencies between statistical, migration, educational, and security institutions. Comparison of national models showed that the Ukrainian digital governance system ensured the development of service platforms (dozens of registries were integrated through the Diia system, the number of users exceeded 21 million, and the Trembita platform processes millions of transactions every month), but has not formed a complete analytical consolidation between state registers. It was established that the centralised control model of China provides a high speed of analytical processing of information (more than 90% of large cities have implemented elements of smart city governance), but is accompanied by risks of excessive digital control and strengthening of supervisory functions of the state. Estonia’s experience has shown that the combination of interoperability, cryptographic protection, and transparent audit of data access creates a more balanced system of interagency coordination: more than 1,000 organisations and more than 3,000 services interact through the X-Road platform, and 87.59% of the population uses electronic public services. The study confirmed that the regulation of personal data protection simultaneously performs the function of legal protection and becomes a factor of institutional isolation between state structures. The study found that overcoming information fragmentation in the field of ethno-national monitoring requires a transition from a model of data accumulation by individual departments to a management system based on standardised exchange protocols, unified metadata, and access audit mechanisms. The practical significance of the results lies in the possibility of their use by public authorities, digital governance structures, analytical centres, and developers of state information systems for the development of safe models of interdepartmental data exchange in the field of ethno-national policy and public administration
personal data protection; interoperability; once-only principle; predictive management; federal data management