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.
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Akberdina, V. V. & Romanova, O. A. (2021). Regional industrial development: Review of approaches to regulation and determining of priorities. Ekonomika Regiona, 17(3), 714-736. https://doi.org/10.17059/ekon.reg.2021-3-1
Allmendinger P. & Haughton G. (2009). Soft spaces, fuzzy boundaries, and metagovernance: The new spatial planning in the Thames Gateway. Environment and Planning, 41(3), 617-633. https://doi.org/10.1068/a40208
An, L., Tsou, M. H., Crook, S. E., Chun, Y., Spitzberg, B., Gawron, J. M. & Gupta, D. K. (2015). Space–time analysis: Concepts, quantitative methods, and future directions. Annals of the Association of American Geographers, 105(5), 891-914. http://doi.org/10.1080/00045608.2015.1064510
Austin, M., Delgoshaei, P., Coelho, M. & Heidarinejad, M. (2020). Architecting Smart City Digital Twins: Combined Semantic Model and Machine Learning Approach. Journal of Management in Engineering, 4(36), 04020026. https://doi.org/10.1061 /(asce)me.1943-5479.0000774
Bakos, Y., & Katsamakas, E. (2008). Design and ownership of two-sided networks: Implications for internet platforms. Journal of Management Information Systems, 25(2), 171-202. https://doi.org/10.2753/MIS0742-1222250208
Barker, M., Olabarriaga, S. D., Wilkins-Diehr, N., Gesing, S., Katz, D. S., Shahand, S., ... & Costa, A. (2019). The global impact of science gateways, virtual research environments and virtual laboratories. Future Generation Computer Systems, 95, 240-248. https://doi.org/10.1016/j.future.2018.12.026
Baumgartinger-Seiringer, S., Miörner, J. & Trippl, M. (2021). Towards a stage model of regional industrial path transformation. Industry and Innovation, 28(2), 160-181. https://doi.org/10.1080/13662716.2020.1789452
Benlian, A., Kettinger, W. J., Sunyaev, A., Winkler, T. J. & Guest Editors. (2018). The transformative value of cloud computing: a decoupling, platformization, and recombination theoretical framework. Journal of management information systems, 35(3), 719-739.
Biryaltsev, E.V., Galimov, M.R., Demidov, D.E. & Elizarov, A.M. (2019). The platform approach to research and development using high-performance computing. Software systems: theory and applications, 10(2), 93-119. (In Rus.) https://doi.org/10.25209/2079-3316-2019-10-2-121-153
Boschma, R. (2017). Relatedness as driver of regional diversification: A research agenda. Regional Studies, 51(3), 351-364. https://doi.org/10.1080/00343404.2016.1254767
Burawoy, M. (1998). The extended case method. Sociological theory, 16(1), 4-33. https://doi.org/10.1111/0735-2751.00040
Canuel, V., Rance, B., Avillach, P., Degoulet, P. & Burgun, A. (2015). Translational research platforms integrating clinical and omics data: a review of publicly available solutions. Briefings in bioinformatics, 16(2), 280-290. https://doi.org/10.1093/bib/bbu006
Carey, J. (2013). Scientific communication before and after networked science. Information & Culture, 48(3), 344-367. https://doi.org/10.7560/IC48303
Constantinides, P., Henfridsson, O. & Parker, G.G. (2018). Introduction —Platforms and infrastructures in the digital age. Information Systems Research, 29(2), 381-400. https://doi.org/10.1287/isre.2018.0794
Costa-Font, J. & Moscone, F. (2009). The impact of decentralization and inter-territorial interactions on Spanish health expenditure. In Spatial econometrics (pp. 167-184). Physica-Verlag HD. https://doi.org/10.1007/s00181-007-0166-x
Crespo, J., Suire, R. & Vicente, J. (2014) Lock-in or lock-out? How structural properties of knowledge networks affect regional resilience. Journal of Economic Geography. 14(1), 199-219. https://doi.org/10.1093/jeg/lbt006
Du, W., Zhang, M., Ying, W., Perc, M., Tang, K., Cao, X. & Wu, D. (2018). The networked evolutionary algorithm: A network science perspective. Applied Mathematics and Computation, 338, 33-43. https://doi.org/10.1016/j.amc.2018.06.002
Dunn Jr, W., Burgun, A., Krebs, M. O. & Rance, B. (2017). Exploring and visualizing multidimensional data in translational research platforms. Briefings in bioinformatics, 18(6), 1044-1056. https://doi.org/10.1093/bib/bbw080
Foster, I. (2002). The grid: A new infrastructure for 21st century science. Physics today, 55(2), 42-47. https://doi.org/10.1063/1.1461327
Gray, J., & Hey, T. (2001). In search of petabyte databases. In Proc. 2001 HPTS Workshop, Asilomar, CA. Retrieved August, 27, 2022. https://jimgray.azurewebsites.net/JimGrayPublications.htm
Hey, T., & Trefethen, A. (2003). E-Science and Its Implications. Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences, 361(1809), 1809-1825. https://doi.org/10.1098/rsta.2003.1224
Hey, T., Tansley, S., Tolle, K., & Gray, J. (2009). The Fourth Paradigm: Data-Intensive Scientific Discovery. Washington: Microsoft Research, 284. Retrieved August, 27, 2022. https://www.diamond.ac.uk/default/dam/jcr:bffe4035-c8e9-498a-945a-a4aae5289e01/Tony%20Hey%20-%20Diamond%20Workshop%20(June%202016).pdf
Hine, C. (Ed.) (2006). New Infrastructures for Knowledge Production: Understanding E-Science. Hershey, PA: Idea Group.
Isaksen, A. & Trippl, M. (2016). Regional industrial path development in different types of regions: A conceptual analysis. In: Parrilli D., Fitjar R., Rodriguez-Pose A. (eds) Innovation Drivers and Regional Innovation Strategy. London: Routledge, 66-84.
Jackson, R. W., Hewings, G. J., Rey, S. & Lozano-Gracia, N. (2020). Regional Development: Challenges, Methods, and Models. WVU Research Repository. Available at: https://researchrepository.wvu.edu/rri-web-book/2/
Jankowski, N. W. (2007). Exploring e‐science: an introduction. Journal of Computer‐Mediated Communication, 12(2), 549-562. https://doi.org/10.1111/j.1083-6101.2007.00337.x
Jones, M. & Woods, M. (2013). New localities. Regional Studies, 47(1), 29-42. https://doi.org/10.1080/00343404.2012.709612
Khan, S. & Van Wynsberghe, R. (2008). Cultivating the under-mined: Cross-case analysis as knowledge mobilization. In Forum: qualitative social research , 9(1), p. 34. Institut für Qualitative Forschung. Available at: http://www.qualitative-research.net/index.php/fqs/article/view/334/730
Kozonogova, E., Dubrovskaya, J. & Dubolazova, Y. (2020). Assessment of the Contribution of Inter-Territorial Interaction in the Development of the National Economy. Assessment, 11(6), 1161-1170. https://doi.org/10.14716/ijtech.v11i6.4434
Lavrikova, Y.G., & Suvorova, A.V. (2020). Optimal Spatial Organisation of the Regional Economy: Search for Parameters and Dependencies. Ekonomika Regiona= Economy of Regions, 4, 1017-1030. https://doi.org/10.17059/ekon.reg.2020-4-1
Mancini, D., Lardo, A. & Angelis, M. D. (2020). Efforts towards openness and transparency of data: A focus on open science platforms. In Exploring Digital Ecosystems (pp. 67-84). Springer, Cham. https://doi.org/10.1007/978-3-030-23665-6_6
Martin, R. & Sunley, P. (2006). Path Dependence and Regional Economic Evolution. Journal of Economic Geography, 6(4), 395-437. https://doi.org/10.1093/jeg/lbl012
McClain, V., & Waldorf, B. S. (2021). Longitudinal methods in regional science: a review. Journal of Geographical Systems, 23(2), 145-160. https://doi.org/10.1007/s10109-018-0275-4
Miguel, E., Camerer, C., Casey, K., Cohen, J., Esterling, K. M., Gerber, A., Glennerster, R., Green, D. P., Humphreys, M., Imbens, G., Laitin, D., Madon, T., Nelson, L., Nosek, B. A., Petersen, M., Sedlmayr, R., Simmons, J. P., Simonsohn, U., & Van der Laan, M. (2014). Social science. Promoting transparency in social science research. Science (New York, N.Y.), 343(6166), 30–31. https://doi.org/10.1126/science.1245317
Mold, A., & Bagiza, R. (2016). Building Productive Capacities for Regional and Global Competitiveness: The Case of the East African Community. A. Gutowski, T. Knedlik, P.. Osakwe, I. Ramdoo, K. Wohlmuth (eds). Africa's Progress in Regional and Global Economic Integration-Towards Transformative Regional Integration, 18, 183.
Nguyen, D. C., & Tull, J. (2022). Context and contextualization: The extended case method in qualitative international business research. Journal of World Business, 57(5), 101348. https://doi.org/10.1016/j.jwb.2022.101348
Nochta, T. (2019). Evidence-informed decision-making in multi-stakeholder settings: The case of city digital twins for planning and management. Working paper. The University of Birmingham. https://doi.org/10.5281/ZENODO.2798858
Nosek, B. A., Alter, G., Banks, G. C., Borsboom, D., Bowman, S. D., Breckler, S. J., Buck, S., Chambers, C. D., Chin, G., Christensen, G., Contestabile, M., Dafoe, A., Eich, E., Freese, J., Glennerster, R., Goroff, D., Green, D. P., Hesse, B., Humphreys, M., Ishiyama, J., … & Yarkoni, T. (2015). Scientific Standards. Promoting an open research culture. Science (New York, N.Y.), 348(6242), 1422–1425. https://doi.org/10.1126/science.aab2374
Pantano, S. (2022). Sharing data, sharing methods, sharing science. MethodsX, 9, 101607. https://doi.org/10.1016/j.mex.2021.101607
Parfenova, S. L. (2014). Network model of scientific activity organization. Science. Innovation. Education, 9(2), 78-89. Available at: https://sie-journal.ru/setevaya-model-organizaczii-nauchnoj-deyatelnosti (In Rus.)
Philemotte, C. (2020). The Advent of Data Science Platforms. IEEE Potentials, 39(6), 28-31. https://doi.org/10.1109/MPOT.2020.3014596
Pordes, R., Petravick, D., Kramer, B., Olson, D., Livny, M., Roy, A., ... & Quick, R. (2007). The open science grid. In Journal of Physics: Conference Series , 78(1), 012057. IOP Publishing. https://doi.org/10.1088/1742-6596/78/1/012057
Potkonjak, V., Gardner, M., Callaghan, V., Mattila, P., Guetl, C., Petrović, V. M. & Jovanović, K. (2016). Virtual laboratories for education in science, technology, and engineering: A review. Computers & Education, 95, 309-327. https://doi.org/10.1016/j.compedu.2016.02.002
Reuver, M., Sorensen, C. & Basole, R. C. (2018). The digital platform: A research agenda. Journal of Information Technology, 23(2), 124-135. https://doi.org/10.1057/s41265-016-0033-3
Rhoten, D. (2007). The dawn of networked science. The Chronicle of Higher Education, 54(2), B12. Retrieved August, 27, 2022. https://www.chronicle.com/article/the-dawn-of-networked-science/
Rochet, J.-C., & Tirole, J. (2003). Platform competition in two-sided markets. Journal of the European Economic Association, 1(4), 990-1029. Available at: https://www.rchss.sinica.edu.tw/cibs/pdf/RochetTirole3.pdf
Rondinelli, D. A. (2019). Applied methods of regional analysis: the spatial dimensions of development policy. Routledge, 282.
Schilling, M. A. (2002). Technology success and failure in winner-take-all markets: The impact of learning orientation, timing, and network externalities. Academy of Management Journal, 45(2), 387-398. https://doi.org/10.5465/3069353
Suvorova, A.V. (2022). Towards digital twins for the development of territories
Lecture Notes in Information Systems and Organisation, 54, 121-131. https://doi.org/10.1007/978-3-030-94617-3_10
Szalay, A., & Gray J. (2006). 2020 Computing: Science in an exponential world. Nature, 440, 413-414. https://doi.org/10.1038/440413a
Van Velsen, J. (2017). The extended-case method and situational analysis. In The craft of social anthropology (pp. 129-150). Routledge.
Woolgar, S., & Coopmans, C. (2008). Virtual witnessing in a virtual age: A prospectus for social studies of e-science. In C. Hine (Ed.), New Infrastructures for Knowledge Production: Understanding e-Science (pp. 1–25). Hershey, PA: Idea Group
Zhuravleva, E. Yu. (2010). Internet research infrastructure. Questions of Philosophy, 8, 155-166. (In Rus.)
DOI: https://doi.org/10.15826/recon.2023.9.1.004
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