Dataset Information

Inclusive growth: A dataset on key and institutional foundations for inclusive development of Russian regions.

ABSTRACT: This article presents a dataset for calculating the index of inclusive growth in the regions of the Russian Federation, estimated on key and institutional foundations of the performance of inclusive development. The authors of the research used the methodology of the World Economic Bank and the World Economic Forum, based on a comparative analysis of key and institutional indicators of the performance of territorial entities, which they adapted to the socio-economic features of the regional division of Russia. For the purpose of formation of a dataset was executed assessment of the inclusive growth index for 26 regions of the Russian Federation, it allowed to define the strengths and weaknesses of the inclusive development of each region of the Russian Federation. The dataset can be useful in the formation of strategic programs of inclusive development.

SUBMITTER: Sharafutdinov RI

PROVIDER: S-EPMC6660622 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature

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Inclusive growth: A dataset on key and institutional foundations for inclusive development of Russian regions.

Sharafutdinov Rustam Ilfarovich RI Akhmetshin Elvir Munirovich EM Polyakova Aleksandra Grigorievna AG Gerasimov Vladislav Olegovych VO Shpakova Raisa Nikolaevna RN Mikhailova Mariya Vladimirovna MV

Data in brief 20190320

This article presents a dataset for calculating the index of inclusive growth in the regions of the Russian Federation, estimated on key and institutional foundations of the performance of inclusive development. The authors of the research used the methodology of the World Economic Bank and the World Economic Forum, based on a comparative analysis of key and institutional indicators of the performance of territorial entities, which they adapted to the socio-economic features of the regional divi ...[more]

PMID: 31372475

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Project description:This article presents a performance dataset of 93 Russian universities, collected from 2015 to 2018 and evaluated according to 24 indicators. These data were gathered from materials, published in the process of monitoring the effectiveness of higher education institutions by the Ministry of Science and Higher Education of the Russian Federation, Web of Science (citation-based research analytics tool InCites) and Scopus (citation-based research analytics tool SciVal) databases, and information from international ranking agencies QS, THE, ARWU. The dataset comprises the assessments of university performances according to the most important indicators used in socio-economic studies of comparative analysis of higher education system development levels in different countries: educational, scientific and research, international, financial and economic performance and international public recognition (university positions in leading international rankings). Evaluated universities are grouped pursuant to their missions: Federal Universities (FU), National Research Universities (NRU), Flagship Universities (FlU) and university-participants of the Russian Academic Excellence Project (Project 5-100). The indicators for the comparative analysis are aggregated by the type of activities and analyzed based on the calculation of median values and Displaced Ideal Method. The dataset can be helpful to researchers, university administration, specialists of higher education system, etc. Data processing can be executed using data mining methods, machine learning, and pattern analysis for the development of intellectual structures, applicable for university performance assessment in different educational systems. Presented data allows us to assert that the implementation of targeted support for leading Russian universities has a positive impact on the development of Russian higher education increasing its role on the international academic arena. Leading national research university-participants of the Project 5-100 had the greatest influence on increasing the competitiveness of Russian education in the world.

Dataset Information

Inclusive growth: A dataset on key and institutional foundations for inclusive development of Russian regions.

Publications

Inclusive growth: A dataset on key and institutional foundations for inclusive development of Russian regions.

Similar Datasets

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