Prestige and Independence-Controlled Publication Performance of Researchers at 14 Hungarian Research Institutions between 2014 and 2018 : A Data Paper

This data article describes a dataset showing the five-year performance of 471 researchers from 14 Hungarian research institutions, with a total of 3219 observations. Each observation represent items produced between the 1st January 2014 and the 31th December 2018 by a researcher employed in the sampled research institutions from one of six research output types. Due to a prestige and independence-controlled categorization of research output, and the scarcity of easily accessible, well-structured data curated for research performance evaluation, this dataset can play an important role in new research evaluation policies at Hungarian research institutions aiming to enhance global competitiveness by fostering scientific excellence and innovation.

The Effective Trends and Driving Forces in The Future of Research Performance Evaluation Based on Scoping Review and Interview

In this qualitative study, the trends analysis based on scoping review and interview used to identify the driving forces affecting the future of research performance evaluation. MAXQDA version 10 and thematic analysis were used to analyze the interviews and documents. The social trends included the research social impact, the social development of society, increasing researchers’ awareness of the research evaluation importance, lack of research culture in society, the gender gap in society, and employing human resources. The technological trends were the development of information and communication technology, scientometric indicators, and open science. The economic trends and driving forces included not emphasize on the oil economy merely, research grant, economic evaluation of research, and research budget. The environmental trends and driving forces were increased emphasis on green information, using the green environment components in research institutes, and a favorable organizational environment. The political trends and driving factors included scientific diplomacy, a country's domestic policy, war and political sanctions, research performance evaluation system, optimal research policy, and increased research collaboration. The results showed that various social, technological, economic, environmental, and political factors and indicators must be included and normalized in the national and international research performance evaluation system.

Performance Evaluation of Energy Research Projects Using DEA Super-Efficiency

This study proposes super efficiency (SE) as an efficient analytical method for evaluating the performance of energy research projects. Because the SE method is based on data envelopment analysis (DEA), it is free from the difficulty of weighting output, allows for the use of variables with diverse standards of measurement, and is capable of providing ranking information that regular DEA (CCR, BCC) analysis techniques cannot. To analyze the feasibility of the DEA-SE method, an efficiency evaluation was performed for energy research projects using both the weighting method as an existing method and the SE method. When the results were compared and analyzed, skewing toward particular output types was observed in the weighting method, owing to problems inherent in the method itself and in the weighting of subordinate variables that make up the total performance score. Therefore, adopting DEA-SE will redress the known problems of the weighting method by minimizing the problems of weighting and skewing in outputs, enabling use of the input and output variables with diverse units and standards of measurement, and providing ranking information of research performance evaluation that is unobtainable with the existing DEA method.