Researching Open Data in Public Administration: Epistemological and Methodological Challenges of Emerging Data Technologies

This paper explores the epistemological and methodological challenges that arise from researching open data initiatives in public administration through emerging data technologies. While open data promises increased transparency and innovation, practical implementation often encounters significant barriers, including non-standardized formats, incomplete datasets, and institutional resistance.

From an epistemological perspective, the tension between the ideal of transparency and the operational reality within public institutions is examined, questioning the legitimacy of "openness" when key data remain restricted or poorly structured. Methodologically, this paper addresses the limitations of current data frameworks and their implications for comparative research across national contexts, such as Italy, and the US. By analyzing these challenges, the study highlights the need for robust methodologies that integrate technological advancements and institutional practices to fully leverage the potential of open data.

The findings offer insights into how emerging data technologies can be better utilized in public governance, proposing solutions for enhancing transparency, improving data access, and fostering a culture of openness through interdisciplinary research.