A data analytic approach to measuring the scientific impact of research outcomes

Project: Research

Project Details


Measuring research efficiency is one of the more recent topics in scientometric studies. In these studies, indicators are used to relate research output (e.g. number of publications) to input (e.g. amount of third party funding) of institutions. Measuring efficiency is a controversial topic in scientometrics, since it is not clear how efficiency of research is related to creative and innovative research. Furthermore, standard methods and indicators of measuring efficiency do not exist yet. Current research practices and policies support rather hyperprolific authors than authors producing highly cited research. This culture is due to policies that govern institution recognition, personnel promotion, and lack of research collaboration. In this project, we aim to investigate the scientific impact of research outcomes (such as highly cited papers, long-term citations of publication, and research areas with expecting high potential) with alignment to the national needs. We plan to measure institutional efficiency by considering also research input. In this context, there is a need to explore those research evaluation measurements used in previous studies in order to identify key factors that influence scientific research impact. As a result, we can work on the development of data analytic model to measure and predict scientific research impact (and efficiency). Databases, such as Scopus, Web of Science, etc., will help to explore research outcomes of the corresponding universities to develop an appropriate approach for further investigation. Moreover, with the developed data analyses strategy we will be able to analyse the relationship between research outcomes, research impact, innovations, and national needs. We will collect data of Saudi universities, and study their past performance and future fitness for the Saudi Vision 2030. The expected outcomes shall assist decision-makers and researchers in science policy to develop strategies of funding and evaluation to foster research excellence and innovation.
Effective start/end date1/09/2028/02/22


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