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Key performance indicators of Russian universities for 2015–2018: Dataset and Benchmarking Data

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...

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Autores principales: Guseva, Anna I., Kalashnik, Viacheslav M., Kaminskii, Vladimir I., Kireev, Sergey V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8713119/
https://www.ncbi.nlm.nih.gov/pubmed/34993283
http://dx.doi.org/10.1016/j.dib.2021.107695
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author Guseva, Anna I.
Kalashnik, Viacheslav M.
Kaminskii, Vladimir I.
Kireev, Sergey V.
author_facet Guseva, Anna I.
Kalashnik, Viacheslav M.
Kaminskii, Vladimir I.
Kireev, Sergey V.
author_sort Guseva, Anna I.
collection PubMed
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.
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spelling pubmed-87131192022-01-05 Key performance indicators of Russian universities for 2015–2018: Dataset and Benchmarking Data Guseva, Anna I. Kalashnik, Viacheslav M. Kaminskii, Vladimir I. Kireev, Sergey V. Data Brief Data Article 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. Elsevier 2021-12-16 /pmc/articles/PMC8713119/ /pubmed/34993283 http://dx.doi.org/10.1016/j.dib.2021.107695 Text en © 2021 The Author(s). Published by Elsevier Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data Article
Guseva, Anna I.
Kalashnik, Viacheslav M.
Kaminskii, Vladimir I.
Kireev, Sergey V.
Key performance indicators of Russian universities for 2015–2018: Dataset and Benchmarking Data
title Key performance indicators of Russian universities for 2015–2018: Dataset and Benchmarking Data
title_full Key performance indicators of Russian universities for 2015–2018: Dataset and Benchmarking Data
title_fullStr Key performance indicators of Russian universities for 2015–2018: Dataset and Benchmarking Data
title_full_unstemmed Key performance indicators of Russian universities for 2015–2018: Dataset and Benchmarking Data
title_short Key performance indicators of Russian universities for 2015–2018: Dataset and Benchmarking Data
title_sort key performance indicators of russian universities for 2015–2018: dataset and benchmarking data
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8713119/
https://www.ncbi.nlm.nih.gov/pubmed/34993283
http://dx.doi.org/10.1016/j.dib.2021.107695
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