Call for Papers: Journal of Data Innovation and Knowledge Sharing

2025-01-05

The Journal of Data Innovation and Knowledge Sharing is a dedicated platform for exploring advancements in data science, big data analytics, and knowledge-sharing frameworks. It fosters interdisciplinary research and practical applications that drive innovation across various industries.

We welcome submissions in the following areas:

  • Big data analytics and machine learning applications
  • Artificial intelligence for decision-making and innovation
  • Data governance and ethical considerations in data management
  • Knowledge sharing in collaborative environments
  • Data-driven innovation in healthcare, education, and manufacturing
  • Advances in cloud computing and data storage solutions
  • Cybersecurity and data privacy challenges
  • Smart systems, IoT, and real-time data processing
  • Visualization and interpretation of complex data sets
Submission Guidelines

We accept original research articles, review papers, short communications, and case studies.

Who Can Submit?

  • Researchers and academicians in data science and related fields
  • Industry professionals with innovative data solutions
  • Graduate and doctoral students presenting original research

Submission Requirements:

  • Manuscripts must be in English and conform to the journal's formatting standards.
  • Submissions should be original and not under consideration elsewhere.
  • Ethical standards and a conflict-of-interest declaration are mandatory.

For detailed submission guidelines, visit Submission Guidelines.

Important Dates
  • Submission Deadline: February 28, 2025
  • Notification of Acceptance: April 10, 2025
  • Publication Date: May 1, 2025
Why Publish with Us?
  • Open Access: Maximize global visibility and impact.
  • Rigorous Peer Review: Maintain high standards of publication quality.
  • No Article Processing Charges (APCs): Enjoy free publication for the first edition.
How to Submit

Submit your manuscript via our online system: Submit Your Paper.

Contact Information

For inquiries, reach out to our editorial office:

Join us in advancing data innovation and knowledge-sharing practices. Submit your paper today!