Open data in the Russian education system

Kuzin Dmitry Aleksandrovich, Danilenko Ivan Nikolaevich

the article discusses the concept of open data, their impact on the development of society and the government. The most famous Russian and international organizations, public and industry initiatives in the field of publishing open data, their presentation, standardization and monitoring are described. Six basic principles are formulated according to which data disclosure work should be published. A brief analysis of the current situation is given and the main problems in the field of publishing open data in the education system are described. Based on the results of the analysis, a proposal is formulated for the development of a universal semantic model of open data based on the Semantic Web technology, which has the properties of universality, distribution, extensibility and ensures the semantic connectivity of published open data within the entire industry. A list of tasks to be solved to build an effective system for publishing open data in the education sector is given.

Keywords:open data, semantic model, semantic web.