Algorithms for presenting open data on agricultural R&D results

This article presents information on the development of an open industry-specific digital environment for monitoring, recording, and analyzing R&D results. It examines the stages of constructing a visualization system for creating interactive dashboards that provide users with a comprehensive picture of agricultural research. It presents the architecture of dashboards in a BI visualization system with the ability to accommodate multiple widgets, including charts, selectors, text blocks, and headings. The results of an analysis of the analytical system's performance are presented, showing the relationship between the number of completed R&D results and budgeting by various government customers. This article was prepared within the framework of State Assignment No. 082-00120-26-00 dated January 23, 2026, on Topic No. 1.26-26/27 "Development and Scientific Substantiation of an Open Digital Information and Analytical Resource with Interactive Services for Monitoring and Expert Support of Innovative Development of Agricultural Mechanization" for 2026-2027.

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Publication Details

Journal
Journal of Monetary Economics and Management
Published
2026-06-25
DOI
https://doi.org/10.26118/2782-4586-2026-10-16
Primary Topic
Advanced Signal Processing Techniques
Type
article
Field-Weighted Citation Impact
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article

Algorithms for presenting open data on agricultural R&D results

Aleksandr Yakubov, Aleksandr Dupak
Journal of Monetary Economics and Management
Advanced Signal Processing Techniques
article

Algorithms for presenting open data on agricultural R&D results

Aleksandr Yakubov, Aleksandr Dupak
article en

Abstract

This article presents information on the development of an open industry-specific digital environment for monitoring, recording, and analyzing R&D results. It examines the stages of constructing a visualization system for creating interactive dashboards that provide users with a comprehensive picture of agricultural research. It presents the architecture of dashboards in a BI visualization system with the ability to accommodate multiple widgets, including charts, selectors, text blocks, and headings. The results of an analysis of the analytical system's performance are presented, showing the relationship between the number of completed R&D results and budgeting by various government customers. This article was prepared within the framework of State Assignment No. 082-00120-26-00 dated January 23, 2026, on Topic No. 1.26-26/27 "Development and Scientific Substantiation of an Open Digital Information and Analytical Resource with Interactive Services for Monitoring and Expert Support of Innovative Development of Agricultural Mechanization" for 2026-2027.

Journal of Monetary Economics and ManagementVol. 0(9)
Rosinformagrotekh (RU)
Zero hunger
Openalex Percentile: Top 10%
Advanced Signal Processing Techniques
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