IDEAS home Printed from https://ideas.repec.org/a/aiy/journl/v9y2023i1p52-72.html
   My bibliography  Save this article

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

Author

Listed:
  • Victoria V. Akberdina

    (Institute of Economics of the Ural Branch of RAS, Yekaterinburg, Russian Federation)

  • Elena V. Kozonogova

    (Perm National Research Polytechnic University, Perm, Russia)

  • Yulia V. Dubrovskaya

    (Institute of Economics of the Ural Branch of RAS, Yekaterinburg, Russian Federation)

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.

Suggested Citation

  • Victoria V. Akberdina & Elena V. Kozonogova & Yulia V. Dubrovskaya, 2023. "Digital platforms for regional economic research: a review and methodology proposal," R-Economy, Ural Federal University, Graduate School of Economics and Management, vol. 9(1), pages 52-72.
  • Handle: RePEc:aiy:journl:v:9:y:2023:i:1:p:52-72
    DOI: https://doi.org/10.15826/recon.2023.9.1.004
    as

    Download full text from publisher

    File URL: https://journals.urfu.ru/index.php/r-economy/article/view/6772
    Download Restriction: no

    File URL: https://libkey.io/https://doi.org/10.15826/recon.2023.9.1.004?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    regional economy; regional science; big data; spatial data; scientific platforms; research platforms; platform RegScienceGRID; digital twins of regions;
    All these keywords.

    JEL classification:

    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aiy:journl:v:9:y:2023:i:1:p:52-72. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Irina Turgel (email available below). General contact details of provider: https://edirc.repec.org/data/seurfru.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.