Abstract: [Purpose/Significance] This study aims to explore the justice values, discourse strategies and social impact of open government data policies, which provides reference for regulating the flow and utilization of open data and promoting the realization of its public value. [Design/Methodology] Based on organizational justice theory and critical discourse analysis framework, the national open government data policies documents with significance in different periods of China and the United States were selected and analyzed in terms of keywords, word clusters and justice dimensions in the text level. Then, the discourse strategies and evolution of justice values of the two countries' policies were analyzed from the perspective of discourse practice. Finally, combined with the perspective of social practice, this study discussed the impact of policy discourse on the fair order of open data practices. [Findings/Conclusion] The discourse construction of social justice in the open government data policies of China and the United States has undergone a gradual development from the jurisprudential equality of rights and economic value orientation to the universal fairness in the sociological sense, intertwined with different focus on procedural justice, information justice and distributive justice. The discourse strategies of intertextuality and coherence are employed in these policies to embed the justice values, which in turn contribute to the trend of equalization, value maximization and conflict in the open government data practice.  [Originality/Value] Theoretically, this study explores the justice values and discourse construction strategies of open government data policies in China and the United States, and explains the impact of policy discourse on open data practice. Practically, the results of this study clarify the direction of government data governance and provide insights for the improvement of open data policies.

Keywords: Open government data, Social justice, Discourse analysis, Policy analysis