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.