An integrated Conceptual Framework to Harness Artificial Intelligence for Enhanced Data Management in Context
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Date
2026-01-31
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Journal of Information Systems Engineering and Management
Abstract
This study explores the transformative impact of artificial intelligence
(AI) technologies on research data management (RDM) services in
higher learning institutions (HLIs), with a specific focus on the roles
played by academic libraries. It highlights how these libraries
strategically incorporate AI to enhance RDM effectiveness and
stewardship. An integrated conceptual framework is proposed, which
includes AI tools, RDM services, the functions of academic libraries,
necessary support structures, and the challenges related to AI and RDM
in HLIs. The findings indicate that this framework can significantly
boost the efficiency of AI adoption, leading to streamlined workflows
and reduced time for RDM services such as data generation, processing,
storage, access, and reuse. Additionally, the framework supports the
development of innovative AI technologies tailored to library users,
including research management software, data security and quality
assurance, and metadata generation.
Sustainable Development Goals
SDG-4: Quality Education
SDG-9: Industry, Innovation and Infrastructure
Keywords
Artificial Intelligence (AI), Data stewardship, Innovative technologies, Ethical guidelines, Metadata generation, Data security