GeoNIRF: Geospatial Cloud Computing Model for National Institutional Ranking Framework Towards SDG #4 Perspective

Abstract

The Sustainable Development Goals (SDGs) call for high-quality data to inform policy design, progress tracking, and impact evaluation. Geospatial data is crucial for measuring targets and monitoring SDGs, as it studies the earth's processes like climate change, carbon fluxes, water dynamics, and biodiversity. Geospatial data helps detect social and economic inequalities by visualizing regional differences. The present paper demonstrates GeoNIRF model which is the Geospatial Cloud Computing enabled National Institutional Ranking Framework (NIRF) for data storage and visualization of the top 100 Indian Universities as per the NIRF 2023 report to achieve the aim of SDG #4. The GeoNIRF model focuses on SDG#4, the quality of education including the most current advances in cloud computing and Geospatial technology. It also develops a geospatial database on which Web Feature Services can be applied. Finally, it derives the qualitative assessment of the different aspects of the state-wise ranking using geospatial data to achieve SDG#4.

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