Abstract
In the article we formulate and classify key barriers for data driven governance system implementation based on international experience analysis. Further based on the interviews with experts we formulate and prioritize barriers for data driven governance in Russia. We classifi ed technological, organizational, normative barriers in data driven governance system. Th rough the comparison between international experience and experts’ survey we demonstrate the common trend for data driven governance model development which is digital trust on the side of the citizens. In case of data driven governance model in foreign states the highest priority belongs to explicit data policy in standardization and regulation of working with government data whereas in Russia the emphasis is in increasing the level of civil servants’ and citizens’ skills and knowledge about options, mechanisms and conditions of working with data.
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