Journal of Big Data Research

About The Journal
 

The Journal of Big Data Research (JBR) is a peer-reviewed, open access journal providing an international forum for the publication of original research and review articles focused on the publication of all aspects of big data research. JBR provides authors with a platform to share their research findings with a global audience and enables readers to keep abreast of the latest developments in this field.
 

Scope of JBR:

Journal of Big Data Research covers a range of topics such as data mining, data collection and analysis, data management and storage, high-performance computing, artificial intelligence, machine learning, cloud computing, data visualization, and predictive analytics. All contributions to the journal must undergo a rigorous double-blind peer-review process to ensure the quality and accuracy of the published work.
 

Accepting Article Types:

Journal of Big Data Research publishes original research articles, reviews, and short communications in all areas of big data. Interested authors are requested to submit their manuscripts to the JBR editorial office for peer review. All papers are reviewed by two or more expert referees in the relevant field. All accepted manuscripts are published open access under the CC BY 4.0 License.
 

Journal of Big Data Research is committed to providing authors with a wide range of beneficial services such as rapid publication, a responsive editorial team and excellent support throughout the publication process. Moreover, JBR publishes high-quality research in a timely manner, ensuring that the latest studies and findings in this field reach the readers quickly. 
 

Submission Process:

All authors are requested to follow the journal's submission guidelines and editorial policies outlined in the Instructions for Authors. These guidelines include the appropriate format for manuscript submission, the required criteria for ethical publications, and the various policies on copyright issues. To ensure an efficient publication process, authors should adhere to the guidelines and adhere to the quality standards set out by the journal. Additionally, authors are encouraged to utilize the resources available from the journal to maximize the impact of their research.
 

Editorial Board:

Journal of Big Data Research’s Editorial Board is composed of experts from all over the world, possessing a vast array of expertise and knowledge in big data research and development. JBR is able to maintain its commitment to accepting only the highest quality research and to creating a platform for the dissemination of the best work being produced in the field of Big Data. Each board member brings their own unique perspectives to the review process, creating a well-rounded and unbiased review panel. Furthermore, the members of the editorial board are dedicated to developing the highest-quality journals for the field of Big Data and are committed to producing valuable and impactful research. By involving knowledgeable experts in the review process, JBR is able to ensure that the highest standards of quality are met in each publication.
 

Peer Review:

The journal utilizes a rigorous peer-review process to ensure the quality of manuscripts that are accepted for publication. Furthermore, the articles are published without any cost to readers, making them freely available to all. This allows researchers from the field of big data to reach a wider audience, promoting collaboration and discussion between researchers and practitioners.
 

Article Processing Charge:

Charges for Journal of Big Data Research are minimal, making it accessible to authors from all backgrounds. This also allows for more authors to take part in research and to benefit from the journal’s open access policy. Additionally, all articles are published under a Creative Commons license, meaning that authors are able to share and reuse their work freely.