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The Journal of Big Data and Artificial Intelligence (JBDAI) (ISSN 2692-7977) is an open access peer-reviewed journal devoted to the publication of high-quality papers on theoretical and practical aspects of big data, AI and machine learning. JBDAI (formerly JBDTP) is the flagship journal of the New Jersey Big Data Alliance (NJBDA).

Submissions

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Submission Preparation Checklist

As part of the submission process, authors are required to check off their submission's compliance with all of the following items, and submissions may be returned to authors that do not adhere to these guidelines.
  • The submission has not been previously published, nor is it before another journal for consideration (or an explanation has been provided in Comments to the Editor).
  • The submission file is in Microsoft Word, PDF document file format.
  • Where available, URLs for the references have been provided.
  • The text is single-spaced; uses a 12-point font; uses 1 in margins; employs italics, rather than underlining (except with URL addresses); and all illustrations, figures, and tables are placed within the text at the appropriate points, rather than at the end.
  • The text adheres to the stylistic and bibliographic requirements outlined in the Author Guidelines.

Author Guidelines

Authors are required to comply with the following guidelines. Submissions may be returned to authors that do not adhere to these guidelines.

Accepted articles are required to follow the JBDAI template for final submission. 

Cost to Publish / APC:  ZERO publishing cost to author -  JBDAI does not charge any publishing fees at any stage or in any way to the author/s. All publishing costs for all accepted high quality articles are covered by NJBDA (https://njbda.org/), a non-profit association, with leading US universities and other organizations. This is a unique open access feature of JBDAI. 

Copyright Notice

OPEN ACCESS - We are using CC BY (Attribution 4.0 International) license: 

This license allows the audience to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. For more details, please visit:  https://creativecommons.org/licenses/by/4.0/ 

Plagiarism is strictly prohibited, and articles identified as being plagiarized at any stage will be rejected.

Use of AI: AI generated content is discouraged, and articles identified as being prominently generated by AI may be rejected. However, the use of AI with full disclosure of all details including LLM or AI application, prompt, query, date and such other details are allowable to the extent the research topic

Archival Policy – All published articles are to be archived with OJS (Open Journal System), in the NJBDA databases and in the databases of NJBDA associated university libraries.

 

Privacy Statement

The names and email addresses entered in this journal site will be used exclusively for the stated purposes of this journal and will not be made available for any other purpose or to any other party.