Focus and Scope

Mesopotamian Journal of Big Data is an international, peer-reviewed open-access journal dedicated to the advancement of big data theory, technologies, analytics, and applications across diverse domains. The journal aims to publish cutting-edge research, innovative methodologies, and practical insights that address the challenges and opportunities presented by the growing volume, velocity, variety, and veracity of data.

We welcome original contributions that explore all aspects of big data, including but not limited to:

• Big Data Architecture and Infrastructure: Distributed systems, cloud and edge computing, data storage and retrieval systems, data lakes, and high-performance computing.
• Data Analytics and Machine Learning: Large-scale data mining, deep learning, predictive modeling, and real-time analytics applied to massive datasets.
• Data Management and Governance: Data quality, metadata management, data integration, data provenance, privacy, and ethical issues in big data.
• Emerging Technologies and Innovations: Blockchain for big data, quantum computing applications, federated learning, and novel algorithms for scalable data processing.
• Applications in Science, Engineering, and Society: Use of big data in healthcare, finance, manufacturing, smart cities, transportation, agriculture, education, and social sciences.
• Visualization and Interpretation: Techniques for visual analytics, interactive dashboards, and user-centric interpretation of complex data.
• Security and Privacy: Secure data sharing, differential privacy, anonymization techniques, and privacy-preserving analytics.