A Study on the Adoption and Impact of AI Tools in Academic Research Data Management with Special Reference to Plaghar District

Vivek M More

Abstract: Research Data Management (RDM) is a critical pillar of scholarly integrity and impact, yet it remains a labor-intensive and often undervalued process, particularly in resource-constrained environments. This study investigates the potential of Artificial Intelligence (AI) tools to automate key RDM tasks within the specific context of Plaghar District, a region facing challenges like limited funding, infrastructure, and specialized staff. Using a mixed-methods approach-a survey of 85 researchers and librarians, followed by 15 in-depth interviews-this research maps the current RDM landscape and identifies barriers to AI adoption. Findings reveal a significant awareness gap regarding AI solutions, compounded by pervasive barriers including unreliable internet, high costs, a pronounced skills gap, and a lack of institutional RDM policies. However, a strong undercurrent of motivation exists among researchers to improve their research impact. The study concludes by proposing a strategic, multi-level framework for sustainable AI-RDM integration, emphasizing the role of open-source tools, targeted capacity building, and institutional policy development. This research offers a model for similar regions seeking to harness AI to alleviate administrative burdens and enhance research data quality.

Keywords: Research Data Management, Artificial Intelligence, Academic Libraries, Plaghar District, Technology Adoption, Digital Divide, Scholarly Communication

How to Cite?: Vivek M More, "A Study on the Adoption and Impact of AI Tools in Academic Research Data Management with Special Reference to Plaghar District", Volume 14 Issue 11, November 2025, International Journal of Science and Research (IJSR), Pages: 1511-1513, https://www.ijsr.net/getabstract.php?paperid=SR251119134746, DOI: https://dx.doi.org/10.21275/SR251119134746