About the Journal

Journal of Data Innovation and Knowledge Sharing is a peer-reviewed publication dedicated to advancing the field of data science and promoting the dissemination of knowledge. It provides a platform for groundbreaking research, practical frameworks, and interdisciplinary collaboration in data-driven innovations.

Focus Areas

  • Big Data Analytics and Applications
  • Data Governance and Privacy
  • Knowledge Management and Sharing
  • Artificial Intelligence and Machine Learning
  • Cloud and Edge Computing for Data Handling
  • Data-Driven Decision-Making Models

Aim

The aim of the journal is to foster innovation in data science by providing a robust platform for sharing and disseminating high-quality research. It seeks to bridge the gap between academic research and industry practices, facilitating the application of theoretical advancements in real-world scenarios. By encouraging collaboration across disciplines, the journal aims to address critical challenges in data management, security, and decision-making. Additionally, it seeks to enhance the understanding of data-driven innovations and knowledge-sharing processes, contributing to the development of more effective and efficient solutions for modern organizational and societal needs.

Scope

The scope of the Journal of Data Innovation and Knowledge Sharing is broad, encompassing all aspects of data science, from theoretical advancements to practical implementations. The journal invites contributions in areas such as data engineering, predictive analytics, business intelligence, and emerging technologies like blockchain and the Internet of Things (IoT) as they relate to data management. It also explores interdisciplinary approaches, including the integration of data science with healthcare, finance, education, and public policy. Articles may include original research, case studies, technical reviews, and experimental studies. The journal actively encourages submissions from global researchers, industry experts, and policymakers to ensure a diverse range of perspectives and foster international knowledge sharing.

It also aims to explore ethical considerations, data governance frameworks, and the social implications of data innovations, promoting best practices and responsible use of technology.