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Sutradhar, B.
- Webometric Analysis of Top Ten Asian and Indian Universities:An Analytical Overview
Abstract Views :298 |
PDF Views:17
Authors
Affiliations
1 Central Library, IIT Kharagpur, Kharagpur - 721302, West Bengal, IN
2 University of Kalyani, Nadia - 741235, West Bengal, IN
1 Central Library, IIT Kharagpur, Kharagpur - 721302, West Bengal, IN
2 University of Kalyani, Nadia - 741235, West Bengal, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 53, No 2 (2016), Pagination: 119-127Abstract
The paper tries to assess all the existing ranking systems which are used to rank higher educational institutions. The aim of the paper is to provide sufficient background to design and develop a new ranking system for a country. An attempt has been taken to find out the reasons of low ranking of Indian universities with respect to the world university ranking through webometric analysis of top ten Indian and Asian universities. A comparative study of top Ten Indian Universities and Asian universities is made with respect to significant web indicators, which are frequently used in ranking purpose. The results found that there is a significant difference of values of webpages, backlinks, rich files, Google Scholar and research publications between these top Ten Asian Universities and Indian universities.Keywords
Webometric Analysis, University Ranking, Indian Universities, Asian Universities.References
- Academic Ranking of World Universities (ARWU) Retrieved dated August 27, 2015 from http://www.shanghairanking.com/
- Jalal, S.K (2012). Indian Universities on the Web: Analysis of hyperlinks through the applications of webometric tools and techniques (PhD Thesis), University of Burdwan.
- Almind, T.C., &Ingwersen, P. (1997). Informetric Analysis on the World Wide Web: MethodologicalApproaches to Webometrics.Journal of Documentation, 53(4), 404-426;
- CheckPageRank (n.d). Retrieved dated 30 August 2015 fromhttp://checkpagerank.net/index.php
- Jacso, P(2005). Google Scholar: the pros and the cons. Online Information Review, 29(2); 208 – 214
- Price, G. (2004). Google Scholar documentation and large PDF files. Retrieved dated August 30, 2015 fromhttp://blog.searchenginewatch.com/blog/041201-105511
- Use Ahrefs Ranking Instead Of Dead Page Rank (n.d). https://blog.ahrefs.com/use-ahrefs-ranking-instead-of-dead-page-rank/
- Understand DoFollow&Nofollow Link: SEO Basics. Retrieved dated 30 August 2015 from http://www.shoutmeloud.com/understand-dofollow-nofollow-link-seo-basics.html
- Harvesting of Additional Metadata Schema into DSpace through OAI-PMH:Issues and Challenges
Abstract Views :291 |
PDF Views:22
Authors
Anup Das
1,
B. Sutradhar
1
Affiliations
1 Central Library, Indian Institute of Technology (IIT) Kharagpur − 721302, West Bengal, IN
1 Central Library, Indian Institute of Technology (IIT) Kharagpur − 721302, West Bengal, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 55, No 1 (2018), Pagination: 1-7Abstract
The focus of this paper is to present a manual for harvesting added metadata schema elements from data provider repository through PAI-PMH. Here we have attempted to extend the ability of DSpace as well as the OAI-PMH to host or share other metadata schema elements e.g. LRMI, IEEE-LOM, ETD etc. DSpace, by default, is capable of importing and exporting only Dublin Core metadata; but DSpace has the capability by which one can define his own submission form and expose customized fields to OAI-PMH request. This paper attempts to provide a guideline to a DSpace administrator to accommodate different metadata schema as well as enhancing the Interoperable capability between Data provider and Service provider repository for Importing and Exporting customized metadata Schema. This is an important concern as Institutions have different types of content and have implemented metadata schema and elements appropriate to their content.Keywords
Data Provider, DSpace Intermediate Metadata (DIM), Dublin Core Metadata Initiative (DCMI), IEEE-LOM, Learning Resource Metadata Initiative (LRMI), Metadata Harvesting, Qualified Dublin Core (QDC), Service Provider, MPEG-7, OAI-PMH.References
- Prasad A. (2006). Implementing LOM Schema in DSpace. DRTC – ICT Conference on Digital Learning Environment. Accessed on: January 11, 2006. http://drtc.isibang.ac.in/ldl/handle/1849/221.
- Open Archives Initiative Protocol for Metadata Harvesting. https://www.openarchives.org/pmh/
- LRMI Metadata Terms (RDF) - Dublin Core® Metadata Initiative. http://dublincore.org/dcx/lrmi-terms/
- IEEE SA - 1484.12.1-2002 - IEEE Standard for Learning Object Metadata. https://standards.ieee.org/findstds/standard/ 1484.12.1-2002.html.
- Use the OAI-PMH interface. https://wiki.duraspace.org/ display/DSPACE/Use+the+OAI-PMH+interface.
- Prasad ARD. (2006). Interoperability and the OAI-PMH. Proceedings of the National Conference on Information Management in Digital Libraries (NCIMDIL) 2-4 Aug, 2006.
- Deka D. (2007). OAI-PMH: A Tool for Metadata Harvesting and Federated Search. 5th Convention, Planner2007. Gauhati University, Guwahati, December 7-8, 2007; p. 358−66. http://ir.inflibnet.ac.in:8080/ir/bitstream/ 1944/1360/1/40.pdf.
- Awasthi S and Jaiswal B. (2008). Open Archives Metadata Harvesting: An Overview. 6th Convention PLANNER 2008, 174-180.