Year: 2025
Type: conference-paper
Abstract: Data waste presents a growing challenge in the digital era, characterized by redundant, outdated, and underutilized data that contributes to inefficiencies, increased costs, and environmental concerns. This paper explores how circular economy (CE) principles—reduce, reuse, recycle, repair, and rethink—can be adapted to optimize data usage, minimize waste, and ensure responsible data handling throughout its lifecycle. Applying CE concepts to data management can enhance sustainability, improve operational efficiency, and support responsible digital transformation. This study examines key strategies and challenges in implementing circular data management, emphasizing data reuse, lifecycle management, and policy frameworks. Furthermore, real-world examples and case studies demonstrate the impact of CE principles in reducing data waste and improving efficiency. Notably, AI-driven data minimization strategies have led to 30% reductions in storage costs, while centralized data-sharing initiatives have improved operational efficiency by 20%. These findings underscore the necessity of structured data governance in the digital economy.
Authors: Miratul Khusna Mufida, Ahmed Snoun, Joseph Sarkis, Abessamad Ait El-Cadi, Thierry Delot, Martin Trépanier
Institutions: Politeknik Negeri Batam, Centre National de la Recherche Scientifique, Laboratoire d'Automatique, de Mécanique et d'Informatique Industrielles et Humaines, Université Polytechnique Hauts-de-France, Worcester Polytechnic Institute, Centre interuniversitaire de recherche sur les réseaux d'entreprise, la logistique et le transport, Polytechnique Montréal
Language: English
Subfield: Strategy and Management
Domain: Social Sciences
Open Access status: gold
OpenAlex ID: W4411458425