Browsing by Author "Singh, Manish Kumar"
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Item Cataloguing to Facilitate Big Data Analytics(INFLIBNET Centre, 2015-03-12) Singh, Manish Kumar; Singh, D K“Big Data” is the popular term used to denote the collection of large data sets possessed by multiple systems. The inherent characteristics of this Big Data are the difficulty in processing due to sheer scale and accessibility of data and also un manageability through a traditional Database Management System. The size of this data set is ever increasing with increasing pace and addition of multi-exabytes per day. Apart from these, big data normally comprise of heterogeneous dataset, both structured and unstructured and also containing diverse data and file formats. It is very difficult to locate and retrieve the relevant information in real time from the universe of big data. Librarians, coming out of the walled library, can be expected to contribute in this task with their expertise in information organization and management. In this paper various challenges to the big data are identified and to address the challenges mechanisms for creating big data catalogue have been identified. Various mechanisms are discussed and compared and it is proposed to use the technique of library classification and cataloguing to catalogue the datasets in the big data thereby facilitating the information retrieval in the universe of big data.Item Mapping of Research Publications on Hydrology in India from 1989 to 2020: A Scientometric Study(INFLIBNET Centre, Gandhinagar, 2022-11) Lal, Jawahar; Agrawal, Anil; Parameshwaran, R.; Singh, Rajesh Kumar; Singh, Manish KumarThe purpose of this study is to explore the research output in the subject of hydrology using scientometric analysis and mapping technique using Web of Science (Clarivate) database. The related publications from 1989 to 2020 were collected through the Web of Science Core Collection (Clarivate) database on June 20, 2021. With the search topics “hydrology” and “India”, a total of 513 publications satisfying these search criteria were pulled out to perform further analysis. The 513 publications were from 607 institutions, 500 countries, 1499 authors, and 485 articles. They were written in 04 languages. It was found that The highly productive year for publication on hydrology under the study period is 2020. English is the highly preferred language for publication of research on hydrology under the study period. The highly preferred form of communication of research output on hydrology is journal articles. Sinha, R is the most profile author on hydrology under the study period. The Water Resources is the subject in which highest number of publications published under the study period. The highly productive organization is Indian Institute of Technology System. The highly preferred journal for communication of research output on hydrology by scholars under the study period is Journal of Hydrology. India is the highly productive country in publication of research output on hydrology under the study period. The two key terms “hydrology” and “India” were used for data collection. The study does not include print format research publications of the scholars working in the field of hydrology. The research publications that appeared in local journal and other printed sources were not included.