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Data-Driven Government in Russia: Linked Open Data Challenges, Opportunities, Solutions

  • 2020
  • OriginalPaper
  • Chapter
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Abstract

The chapter delves into the Russian government's efforts to implement a data-driven governance system, highlighting the challenges and opportunities presented by the use of Linked Open Data (LOD) and semantic models. It examines the national data governance concept, the role of LOD in achieving digital transformation, and the need for semantic interoperability. The study compares the current state of LOD in Russia with international standards and provides recommendations for overcoming existing barriers. The chapter also reviews the use of LOD in statistics, emphasizing its potential to enhance data analysis and visualization. The research concludes with recommendations for fostering collaboration between IT specialists and domain experts to improve the quality and usability of government data.

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Title
Data-Driven Government in Russia: Linked Open Data Challenges, Opportunities, Solutions
Authors
Yurii Akatkin
Elena Yasinovskaya
Copyright Year
2020
DOI
https://doi.org/10.1007/978-3-030-67238-6_18
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