Assessment of Sustainable Funding Impact by Exploiting Research Performance Indicators and Semantic Techniques

TL;DR

This study combines bibliometric indices and semantic analysis to evaluate the impact of research funding on publications, research directions, and collaboration, offering a novel approach for sustainable funding assessment.

Contribution

It introduces semantic analysis into research funding evaluation, enhancing understanding of short-term and long-term impacts on research outputs.

Findings

Semantic analysis improves funding impact assessment.

Bibliometric indices combined with semantics provide better evaluation frameworks.

Case studies demonstrate effectiveness of the proposed approach.

Abstract

This paper deploys bibliometric indices and semantic techniques for understanding to what extent research grants are likely to impact publications, research direction, and co-authorship rate of principal investigators. The novelty of this paper lies within the fact that it includes semantic analysis in the research funding evaluation process in order to effectively study short-term and long-term funding impact in terms of publication outputs. Our dataset consists of researchers that receive research grants from the National ICT Research and Development funding program of Pakistan. We show a number of interesting case studies to conclude that bibliometric-based quantitative assessment combined with semantics can lead to building better sustainable pathways to deploy evaluation frameworks for research funding effectively.