Open government data as a tool for cooperation between people and government: a case study of open data and e-governance resources in the Eurasian Economic Union

Research outputpeer-review

1 Citation (Scopus)

Abstract

The paper presents key results of the authors’ 2016 study of e-governance ? open data resources in Eurasian Economic Union member states. Monitoring methods are described. Basic international and EEU requirements are identified that apply to the member states’ open government platforms. Comparative conclusions are made to highlight to what extent the countries’ e-governance websites provide publicity for the government and encourage cooperation between people and government.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Internet and Modern Society, IMS 2017
PublisherAssociation for Computing Machinery
Pages195-199
Number of pages5
VolumePart F133135
ISBN (Electronic)9781450354370
DOIs
Publication statusPublished - 21 Jun 2017
EventИнтернет и современное общество: международная объединенная конференция - Университет ИТМО, St. Petersburg
Duration: 20 Jun 201723 Jun 2017
Conference number: 20
http://icims.ifmo.ru/
http://ims.ifmo.ru/ru/pages/28/IMS_2017.htm
http://ims.ifmo.ru/ru/pages/28/IMS_2017.htm
http://icims.ifmo.ru/

Conference

Conference2017 International Conference on Internet and Modern Society, IMS 2017
Abbreviated titleIMS 2017
CountryRussian Federation
CitySt. Petersburg
Period20/06/1723/06/17
Internet address

Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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    Ibragimov, I., Golubev, V., Balabanova, S., & Filatova, O. (2017). Open government data as a tool for cooperation between people and government: a case study of open data and e-governance resources in the Eurasian Economic Union. In Proceedings of the International Conference on Internet and Modern Society, IMS 2017 (Vol. Part F133135, pp. 195-199). Association for Computing Machinery. https://doi.org/10.1145/3143699.3143702