Instructions for authors
Journal of Big Data publishes high-quality, scholarly research papers, methodologies and case studies covering a broad range of topics, from big data analytics to data-intensive computing and all applications of big data research. The journal examines the challenges facing big data today and going forward including, but not limited to: data capture and storage; search, sharing, and analytics; big data technologies; data visualization; architectures for massively parallel processing; data mining tools and techniques; machine learning algorithms for big data; cloud computing platforms; distributed file systems and databases; and scalable storage systems. Academic researchers and practitioners will find the Journal of Big Data to be the definitive, most comprehensive reference in the field.
Each article type published by Journal Of Big Data follows a specific format, as detailed in the corresponding instructions for authors; please choose an article type from the list on the left to view the instructions for authors.
The instructions for authors includes information about preparing a manuscript for submission to Journal Of Big Data, criteria for publication and the online submission process. Other relevant information about the journal's policies, the refereeing process and so on can be found in 'About this journal'.
Journal Of Big Data publishes the following article types:
We use plagiarism detection
This journal is a member of, and subscribes to the principles of, the Committee on Publication Ethics (COPE).
Authors and referees are asked to declare any competing interests.
Copyright rests with the authors. For more information on copyright of articles, see our publisher's copyright and license policy.