Guseva Anna I, Kalashnik Viacheslav M, Kaminskii Vladimir I, Kireev Sergey V
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Moscow, Russia.
Data Brief. 2021 Dec 16;40:107695. doi: 10.1016/j.dib.2021.107695. eCollection 2022 Feb.
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.
本文展示了93所俄罗斯大学的绩效数据集，该数据集收集于2015年至2018年，并根据24项指标进行评估。这些数据来自俄罗斯联邦科学与高等教育部在监测高等教育机构有效性过程中发布的材料、科学网（基于引文的研究分析工具InCites）和Scopus（基于引文的研究分析工具SciVal）数据库，以及来自国际排名机构QS、THE、ARWU的信息。该数据集包括根据不同国家高等教育系统发展水平比较分析的社会经济研究中使用的最重要指标对大学绩效的评估：教育、科研、国际、财务和经济绩效以及国际公众认可度（大学在主要国际排名中的位置）。评估的大学根据其使命进行分组：联邦大学（FU）、国家研究型大学（NRU）、旗舰大学（FlU）以及俄罗斯学术卓越计划（5-100计划）的参与大学。比较分析的指标按活动类型进行汇总，并基于中位数计算和位移理想方法进行分析。该数据集对研究人员、大学管理层、高等教育系统专家等可能会有所帮助。数据处理可以使用数据挖掘方法、机器学习和模式分析来进行，以开发适用于不同教育系统中大学绩效评估的智能结构。所呈现的数据使我们能够断言，对俄罗斯领先大学实施有针对性的支持对俄罗斯高等教育的发展具有积极影响，增强了其在国际学术舞台上的作用。5-100计划的领先国家研究型大学参与大学对提高俄罗斯教育在世界上的竞争力影响最大。
