Browsing by Author "Verma, Monika"

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    Digital Information Management in Ardent Era - A Case Study
    (INFLIBNET Centre, Gandhinagar, 2022-11) Verma, Monika; Verma, Mohit Kumar; Kumar, Pawan
    The present study investigated the aim and implementation challenges of NIScPR Data centre, including its deployed architecture, functional components requirement and importance. We also explore applications of data centre hardware components as well as usefulness of running applications. The personnel interaction and interview method has been used to find out the essential information. In depth we found that CSIR-NIScPR has bulk of digital information resources, services, web portal, including official websites of CSIR headquarter and sister labs. Study revealed the importance of streamlining of all the NIScPR services, which running on multiple standalone servers were situated at, distinguish locations. Now, various national level services such as CSIR-IPU Unit, NKRC, ISSN, ISA, OP, NOPR, NSDL and NUCSSI are running properly and securely with effective failure management system.
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    Ethical AI Shaping Scholarly Communication: Challenges and Opportunities
    (INFLIBNET Centre Gandhinagar, 2024-09-19) Rohit, Kumar; Verma, Monika
    In this robotic era, Artificial Intelligence (AI) is revolutionizing communication of scholarly research, because it offers new avenues for research efficiency and knowledge dissemination. The proliferation of journal and research articles concerning the design and application of AI reflects the growing recognition of the importance of responsible and ethical development of AI. This paper explores the ethical dimensions of AI in the communication of research, focusing on key areas like transparency, fairness, privacy, biases, and accountability. Through the comprehensive review of existing literature and multiple case studies, it is found that the AI algorithms posed ethical challenges in areas like peer review, citation analysis, plagiarism detection, and automated content generation. Furthermore, the present study discussed the implications of AI-driven decision-making systems on academic evaluation, promotion, and tenure processes. This paper proposed recommendations for promoting ethical AI scholarly communication by fostering awareness, dialogue, and collaboration among researchers, publishers, and institutions and tried to inform that responsible AI development depends on the drawing of principles and ethical frameworks and lastly ensure that rather than undermines the integrity and trustworthiness of scholarly communication, the AI enhances the quality of researcher i.e. promote the easiest ethical scholarly communication.