Аннотация
This article examines how countries move beyond the traditional model of publishing open government data by integrating AI-driven surveys, blockchain-based verification and participatory feedback forums to co-create higher-quality, more trustworthy datasets. In this regard, the study analyzes user feedback mechanisms across various national open data platforms and particularly investigates three specialized e-participation initiatives: the U.S. Challenge.gov crowdsourcing ecosystem, Sweden’s NOSAD open data and open-source collaboration network, and Vienna’s blockchain-driven data verification system. The cross-national content analysis identifies a diverse set of mechanisms, including interactive forms, social media integration, dataset request systems, metadata automation and community discussion boards that e-government platforms increasingly deploy to enhance data quality, usability and civic participation. Findings show that context-aware feedback, AI-tailored user interactions and decentralized metadata verification significantly strengthen transparency, trust and citizen engagement. The case studies further illustrate how incentives, collaborative resource exchange and distributed ledger technologies shape new models of participatory data governance. The article concludes by proposing a conceptual framework for evolving OGD portals into citizen-centric, innovation-driven ecosystems and offers policy recommendations to support more responsive, secure and collaborative open data infrastructures.