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The E-PG Pathshala is an open education resource developed by INFLIBNET and the University Grants Commission (UGC) that provides comprehensive information on various papers in the field of Library and Information Science. One such paper is "Knowledge organization and processing: classification and cataloguing," which covers the important aspects of organizing and cataloguing information in libraries. This paper includes a total of 60 e-content modules that are available to students, teachers, LIS professionals, and other interested individuals. This study examines the coverage of these e-content modules to determine whether they provide sufficient information and knowledge on Knowledge organization and processing: classification and cataloguing for libraries. The study aims to raise awareness among students and professionals about the e-content modules available and to identify any gaps or areas for improvement. Identifies e-content modules that facilitate the use of technology. The results of this study indicate that the e-content modules provide comprehensive coverage of the paper's topics, with the exception of some modules that lack self-learning videos.
E-PG Pathshala, Classification and Cataloguing, Open Educational Resources, E-Resources, INFLIBNET
E-PG Pathshala, Classification and Cataloguing, Open Educational Resources, E-Resources, INFLIBNET
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 15 | |
| downloads | 20 |

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