An India Towards Global Ranking Standards: A Move Towards Data Curation
Kashinath Chandelkar1, Piyush Gupta2
1Kashinath Chandelkar*, Birla Institute of Technology Mesra, Department of Computer Science & Engineering, Jaipur Campus.
2Dr. Piyush Gupta, Birla Institute of Technology Mesra, Department of Computer Science & Engineering, Jaipur Campus.
Manuscript received on December 13, 2019. | Revised Manuscript received on December 22, 2019. | Manuscript published on January 10, 2020. | PP: 504-509 | Volume-9 Issue-3, January 2020. | Retrieval Number: G5551058719/2020©BEIESP | DOI: 10.35940/ijitee.G5551.019320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Ministry of Human Resource Development (MHRD) is not only a source of inspiration for sectors such as Research and Development, Services, Agriculture and Entrepreneurship. They are also enhancing our competitiveness and relevance by proposing and executing different projects across the nation. The approach is in line with the vision 2030. As per 2018 Shanghai report of Times Higher Education (THE), only 40% academic and 10% of employer reputation is built as per the Global Ranking Standards. Indian Higher Educational warehouses with the help of National Institutional Ranking Framework (NIRF), Rashtriya Uchchatar Shiksha Abhiyan (RUSA) and University Grant Commission (UGC) are generating data which is of least relevance to end users. We propose peer to peer data curation model which shall be extended as per business need using a cloud technology. We have harnessed data related to the Higher Education Sector (HES) from Indian Institute of Sciences (IISc), RUSA, and MHRD, to understand Indian contribution towards global ranking standards in Higher Education Sector. The approach is in line with the Escuela Nueva Model and Open Architecture Information System (OAIS) as existing standards in traditional data curation process. It is supported by the patent in large-scale data curation.
Keywords: THE, UGC, RUSA, OAIS, MHRD, NIRF, HES, IISc, Data Curation
Scope of the Article: Standards for IoT Applications