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R-Economy
Article . 2023 . Peer-reviewed
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Digital platforms for regional economic research: a review and methodology proposal

Authors: Victoria V. Akberdina; Elena V. Kozonogova; Yulia V. Dubrovskaya;

Digital platforms for regional economic research: a review and methodology proposal

Abstract

Relevance. This article addresses the need for a comprehensive approach to the analysis of socio-economic data on territorial units. The existing statistical observation system provides a vast amount of data on the socio-economic development of countries, macro-regions, sub-regions, and municipalities. Despite the wealth of data available, research efforts often remain narrowly focused on specific scientific tasks. In the field of regional economy, many research methods have been developed, but there are almost no approaches to the combined use of these methods. Digital research platforms can solve these problems by providing a mechanism for complex analysis of data. Research objective. This study aims is to examine the essence of platformization in scientific research and to present a detailed overview of the functionality of existing digital research platforms on regional and spatial development to substantiate the methodology of distributed regional research. The authors examine and systematize the features of 40 digital platforms worldwide that are related to regional research, using methods such as comparative analysis, extended case method, and cross-case analysis. Data and methods. The authors examine and systematize the features of 40 digital platforms worldwide that are related to regional research by using methods such as comparative analysis, extended case method, and cross-case analysis. Results. The proposed methodology includes a system of criteria and a typology that includes five main types of platforms for regional research: information and communication platforms, distributed work and data storage platforms, service platforms, computing platforms, and transaction platforms. These types are described and their advantages and disadvantages are highlighted. Conclusions. Digital platforms should become the key form of organizing scientific research in the field of regional economics, as they allow for a comprehensive analysis of socio-economic data and scenario experiments on the "digital twins" of regions. The study proposes a general methodology for conducting distributed regional studies. This methodology provided a foundation for RegScienceGRID platform. Overall, this study highlights the potential of digital research platforms in regional studies and provides a useful methodology for evaluating and utilizing these platforms.

Keywords

ЦИФРОВЫЕ ДВОЙНИКИ РЕГИОНОВ, BIG DATA, REGSCIENCEGRID 平台, PLATFORM REGSCIENCEGRID, 区域经济, 科学平台, SPATIAL DATA, ПРОСТРАНСТВЕННЫЕ ДАННЫЕ, ПЛАТФОРМА REGSCIENCEGRID, 大数 据, SCIENTIFIC PLATFORMS, 区域数字双胞胎, 区域科学, НАУЧНЫЕ ПЛАТФОРМЫ, SCIENCE, РЕГИОНАЛЬНАЯ НАУКА, 研 究平台, ИССЛЕДОВАТЕЛЬСКИЕ ПЛАТФОРМЫ, БОЛЬШИЕ ДАННЫЕ, DIGITAL TWINS OF REGIONSE, РЕГИОНАЛЬНАЯ ЭКОНОМИКА, RESEARCH PLATFORMS, 空间数据

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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Average
Average
gold