Indian Journal of Library and Information Sciences

Research data management plays a crucial role in advancing scientific discovery by ensuring the availability, integrity, and accessibility of research data. This article explores the significance of effective research data management practices in accelerating the pace of scientific discovery. It highlights the challenges faced in managing research data and examines the various strategies, tools, and technologies that can be employed to overcome these challenges. The article also discusses the benefits of adopting a proactive approach to research data management, including improved collaboration, data sharing, reproducibility, and the potential for discoveries. Furthermore, it explores emerging trends and future directions in research data management, such as data integration, artificial intelligence, and data-driven discovery. The article concludes by emphasizing the importance of establishing institutional policies and support structures to promote effective research data management practices and foster a culture of data sharing and collaboration.

Over the years it is seen that advances in information and communication technologies have changed the work of libraries and information centres. Artificial Intelligence (AI) that has emerged as one of the greatest inventions of information & communication technology has given great momentum to library services because it has the potential to revolutionize the libraries and information centres by augmenting standard library operations and services. Due to its advantages, the current trends in library and information centres indicate that libraries are depending more and more on AI to help library workers to carry out their responsibilities. Moreover, a new and advanced version of AI has emerged that is known as Generative AI. This article discusses about the evolution of AI and then focuses on Generative AI and its implications in library and information centres.

The periodicals are the primary source of information and are an important medium for communication. They play a major role in communicating the latest research findings and publishing articles containing current development in any field of knowledge. The present bibliometric study is focused on an examination of 30 articles/research papers that were published in the Bulletin of Pure and Sciences: Section C, a good journal in chemistry by taking into consideration its last two-year issues in 02 volumes from 2022 to 2023. In addition to discussing the average length of an article and the number of references per article, the study also covers the year and volume-wise number of articles, authorship patterns, most productive authors of the journal, state-wise contribution of the articles, and foreign contribution to the journal.

This study focused on the Web content of selected North-East-West-South National Institutes of Technology (NITs) Libraries in India. Every aspect consists of various elements examined based on the information on the library website. The General Information, Library Collection and Library feature that NIT J&K scored 7 out of 8; data analysis evaluates the various features of the website and web pages of NIT libraries with the selected criteria. The website has been updated, the second highest in the table, NIT Arunachal Pradesh, got a score of 04 out of 08. NIT Andhra Pradesh got a score of 03 out of 08. NIT Jammu& Kashmir scored highest, i.e. (29) out of thirty five (35), followed by NIT Arunachal Pradesh Second highest (14) out of Thirty-Five (35), and NIT Andhra Pradesh Library (10) and the 3rd rank.

This study examines the social-cultural practices, and community dynamics influencing the adoption of agricultural technologies. Findings reveal a predominantly male and literate respondent population with extensive farming experience, highlighting potential resistance to change due to entrenched traditional practices. Trust, social networks, and collective action emerge as critical enablers of technology adoption, while financial concerns and reluctance to abandon traditional methods pose challenges. The study underscores the necessity of community driven interventions and risk mitigation strategies to foster technology uptake among farmers. The study has emphasized the role of stakeholders and libraries in addressing the socio-cultural and community barriers in transforming agricultural practices.

Background: The reengineering of library print and electronic resources services is essential for IIT libraries to adapt to the evolving information needs of users in a digital first world.This paper explores the integration of print and e-resources services within IIT libraries to improve accessibility, enhance user satisfaction, and optimize resource utilization. Aim: The primary aim of this study is to investigate the reengineering of IIT library print and e-resources services, focusing on how libraries can enhance access, improve management, and create a seamless experience for users through the integration of both formats. Objectives: To examine technological advancements that can support the reengineering of print and digital resources within libraries. To identify strategies for improving access to print and e-resources, ensuring users can easily locate, borrow, and utilize materials in both formats. Material: The research is based on a combination of primary and secondary materials. Primary data is collected through questionaries’ from library users. These insights are supplemented by case studies of libraries that have successfully reengineered their print and e-resources services. Results: Analysis showed a considerable difference between the changing levels of usage and frequency of library e-resources and print resources. The data indicate a notable difference in user satisfaction regarding the utilization of e-resources compared to print resources. Conclusion: Reengineering library print and e-resources services is essential for modernizing library operations and enhancing user experience. The integration of print and digital resources allows libraries to provide more flexible, accessible,and efficient services to their users.

In scientific research, artificial intelligence (AI) has rapidly become a game-changer, changing our understanding of the environment and the methods of discovery. This paper explores the present applications of artificial intelligence in many scientific domains, future possibilities, and the obstacles we must overcome to completely achieve its promise. The paper attempts to present a clear picture of how artificial intelligence is changing science and what that implies for researchers, institutions, and society. Emphasizing both the present uses and the possible future directions of artificial intelligence (AI) in research, this paper presents a relevant and thorough investigation of how AI is changing several scientific domains. It endeavors to provide a fair overview of the integration of artificial intelligence into the research process through critical evaluation of the benefits and possible disadvantages. Relevant literature, case studies, and data gathered from primary resources were used to support the analysis. The paper concludes that AI is creating up until now unthinkable new opportunities for us in everything from accelerating the discovery of new drugs to enhancing our knowledge of climate change to investigating the furthest reaches of space. The paper also indicates that leveraging and deploying artificial intelligence in scientific research will change our tactics to some of the most difficult problems confronting society.

A growing number of publications are becoming Web-linked in the current era of information explosion. The majority of social, scientific libraries now see functions and services differently. The world is quickly becoming more computerized. In light of this, the present study is an effort to carry out how frequently instructors and students at Ch. Charan Singh University Meerut use electronic resources. It also deals with the satisfaction among users and challenges in access of resources. Suggestions from users have also been experienced.

The present study explores deals with the analysis of research contributions of Prof. S.S. Abhyankar, an Indo-American mathematician. He had published 96 research papers in during 1966 2015 in various scientific journals indexed in Web of Science database during 1966-2015. Different scientometric indicators like Relative Growth Rate, Relative Citation Rate, and Authorship Pattern, Title Words, Country-wise, Institution-wise and Author-wise are used. Required data for the present study was obtained from Web of Science database. Data was analyzed by R-programing and MS-Excel Software. The study reveals that, he was contributed 96 papers during 1966-2015, had received total number of 1495 citations each research papers have received an average 15.57. On an average he was publish two research papers for each year. The maximum number of 69 percentile research was contributed by him from 1991-2015. Among the 96 papers, six papers have received highest 47.35% of total (708) citations. Average number of authors per paper is 1.61. J.H. William, S.B. Joshi, T.T. Moh and Ikkwon Yie was the main collaborator of him. Proceedings of the American Mathematical Society, American Journal of Mathematics, Journal of Algebra and Discrete Mathematics were the most preferred journals of him for to reveal the research findings.

Background: This report covers network security research papers from 2013 to 2022 using the Scopus interdisciplinary online database. The study’s goal is to examine the year-by-year growth of publications, relative growth rate and doubling time, top ten authors’ contributions, authorship patterns, degrees of collaboration, collaborative coefficient, collaborative index, co-author index, document types, time series analysis, contributions of top ten journals, institutions, countries, languages, and highly cited papers in network security research publications. Aim: This study studies or evaluates Network security research trends from 2013 to 2022 to discuss the possibility of employing data from the Scopus database. Between 2013 and 2022, there was an annual rise in Network security research articles of 84,739 research publications, 7,93,177 citations, 60372 cited publications, and 24367 uncited publications. Objectives: To perform a bibliometric analysis of the Citations and Publications on Network Security Research between 2013-2022. The authors’ study purpose is to look at how scientometric Network security research is evolving and to detect any trends in that development. It also intends to discover prior trends in Network security research publications published in scientometrics based on the sample data. Material: This study confirmed that the relative growth rate is decreasing trend. At the same time doubling time was found that 0.83 in the year 2014 and 4.89 in the year 2022 and it is confirmed that doubling time is an increasing trend. The subject a maximum of 69062 (81.34%) research publications are contributed by Computer Science, the authorship pattern, 5964 research publications are contributed by single authors, and the average degree of collaboration is 0.92. The collaboration coeffi cient of the average is 0.62. The collaboration Index average is 3.29. The Modified collaboration coef cient of the averageis 3.29. Result: The document types a maximum of 50492 (59.59%) research publications are contributed by conference paper, during the journal of the maximum of 5521 (33.63%) research publications are contributed by the lecture notes in computer science including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics. The Institute a maximum of 1553 (17.93%) contributions are Chinese Academy of Sciences, the country, a maximum of 5521 (33.63%) research publications are contributed by the China. Conclusion: Network security consists of the provisions established in an underlying computer network infrastructure, rules set by the network administrator to safeguard the network and network-accessible resources from unauthorized access, and the effectiveness (or lack thereof) of these measures when combined.

Background: This report covers dengue viruses research papers from 2015 to 2024 using the Scopus interdisciplinary online database. The study’s goal is to examine the year-by-year growth of publications, relative growth rate and doubling time, top ten authors’ contributions, and time series analysis, contributions of top ten journals, institutions, countries, and highly cited papers in dengue viruses’ research publications. Aim: This study studies or evaluates dengue viruses’ research trends from 2015 to 2024 to discuss the possibility of employing data from the Scopus database. Between 2015 and 2024, there was an annual rise in dengue viruses’ research articles of 28016 research publications, 474687 citation in research publications. Objectives: To perform a bibliometric analysis of the Global Level Research Output in Dengue Viruses: A Scientometric Analysis. The authors’ study purpose is to look at how scientometric dengue viruses’ research is evolving and to detect any trends in that development. It also intends to discover prior trends in dengue viruses research publications published in scientometrics based on the sample data. Material: This study confirmed that the were contributed in 2020. Wiwanikit, V. is the most prolific author in the field of Dengue Viruses, with 186 (19.23%) research papers in the United States. In terms of publication distribution by country, the United States contributed the most papers (2710), accounting for more than 209351 (28.37%) research publications. The institutions with Fundacao Oswaldo Cruz alone published 887 (17.72%) papers, while the journals of found that Plos Neglected Tropical Diseases is on top of the list with the publication of 1069 (24.17.84%) publications clinching the first position. Result: The time series analysis statistical application in Dengue Viruses research articles is predicted to be around 3291 in 2025 and 3536 in 2030. So, at the time, serious study confirmed that the number of papers on spice research was expanding. The widely cited publication Vos T. et al. (2015) Global, regional, and national incidence, prevalence, and years lived with disability for 328 illnesses and injuries in 195 countries, 1990-2016: A systematic analysis for the Global Burden of Disease Study 2016, The Lancet, 390(10100)1211-1259. The citation is 5780, and the document type is article. Conclusion: Dengue Viruses consists of the provisions established in to reduce dengue virus transmission, these interventions should focus on locations with high levels of human-vector contact. Insecticide treated curtains and innovative mosquito traps have showed potential in reducing dengue virus infections. Surveillance is another component of dengue prevention, as it provides the necessary information for risk assessment and program direction.

Context: The present paper analyses the publication output on ‘Artificial Intelligence (AI)’ and compares it with the publication output in the research domain of Library and Information Science (LIS). Aim: The aim of this paper is to quantify, critically analyse and visually present the prolific literature on AI and its applications in LIS domain using bibliometric techniques. Settings and Design: Bibliometric and keyword analysis were employed in analysing the secondary data sourced from the Clarivate Analytics Web of Science database. Methods and Material: Data extraction was carried out using the Web of Science database for the study period 2000-2023. 2,05,470 Articles in English language were included for the study. It was found that 1351 Articles were published with applications of AI in LIS domain. Statistical analysis used: The Compound Annual Growth Rate (CAGR) was calculated to measure the growth trend of AI research globally and within LIS. Activity Index (AI) and Relative Specialization Index (RSI) were calculated to assess the research focus of different countries. Data visualization was used to map the findings. Results: The study identifies the annual growth rate of publications on AI across disciplines to be 13.42% and 20.01% within LIS discipline. The study reveals apart from USA and China, India also features among the top 10 prolific countries and institutions contributing to AI research globally and in LIS discipline. Conclusions: AI research in LIS has gained significant momentum, reflecting a growing interest in applying AI-driven solutions to library operations and services. While China leads in the overall AI publication output, the USA dominates in LIS-specific AI research. The study highlights the need for interdisciplinary and international collaboration to enhance the adoption of AI in LIS. Further efforts are required to strengthen AI research in LIS, particularly in developing regions, to bridge the gap in technological advancements and applications.