Abstract

Restructuring public service units involves not only organizational changes but also the transfer and effective use of data generated by different systems and processes. Using qualitative document analysis, this article examines the theoretical foundations of data standardization, data quality, and interoperability, along with challenges in transferring data from predecessor to successor units. The findings show that data inheritance depends on legal foundations, operational processes, consistent data-field definitions, master data management, technical compatibility, and governance responsibilities across five core data categories. The article proposes a four-layer standardization framework, a minimum common dataset, a six-step transfer process, a four-role accountability model, and a data-usability-based acceptance mechanism.

Keywords: Data governance, data integration, data standardization, operational continuity, organizational restructuring, public service units.