Journal of Data Innovation and Knowledge Sharing is a peer-reviewed platform focusing on advancements in data science and the transformative power of knowledge sharing. The journal explores innovative research, case studies, and practical frameworks in data-driven decision-making. It fosters collaboration between researchers and industry professionals to enhance data innovation and knowledge dissemination.
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.
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.
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.
At Vexido Publications, we are committed to fostering trust, integrity, and transparency in the academic publishing process. Our policies ensure that the principles of open access, ethical publishing, and compliance with global standards are upheld. These guidelines are designed to assist authors, reviewers, and editors in adhering to best practices in research and publication.
We have categorized our policies into three distinct sections to ensure clarity and ease of access: Publication Policies, User & Service Policies, and Ethics & Compliance Policies. Each category addresses specific aspects of the publishing process, ensuring a seamless and ethical experience for our contributors and readers.
This section covers the core policies that govern the publication process, ensuring quality, integrity, and transparency in research dissemination.
These policies outline the terms and conditions that guide user interactions with our platform and services, ensuring a secure and user-friendly experience in overall publishing process.
This section emphasizes our commitment to upholding ethical standards in all aspects of academic publishing, aligning with globally recognized frameworks.
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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:
Submission Guidelines
We accept original research articles, review papers, short communications, and case studies.
Who Can Submit?
Submission Requirements:
For detailed submission guidelines, visit Submission Guidelines.
Important Dates
Why Publish with Us?
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!
