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
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
- 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.
Submit your manuscript via our online system: Submit Your Paper.
Contact InformationFor inquiries, reach out to our editorial office:
- Email: editorial@vexido.com
- Phone: +91 99755 64244
Join us in advancing data innovation and knowledge-sharing practices. Submit your paper today!