Now accepting submissions

Journal Of Big Data is accepting submissions; please use the online submission system to submit your manuscript. If you are submitting a manuscript to a particular Special Issue, please refer to its specific name in your covering letter. For all enquiries about the journal, please contact: editorial@journalofbigdata.com.

Editorial Board

Editors in Chief

  • Borko Furht, Florida Atlantic University, United States of America
  • Taghi Khoshgoftaar, Florida Atlantic University, United States of America

Editorial Board

  • Kapil Bakshi, Cisco, United States of America
  • Rob Bird, Red Lambda Inc., United States of America
  • Xue-wen Chen, University of Massachusetts, United States of America
  • Dursun Delen, Oklahoma State University, United States of America
  • Wei Ding, University of Massachusetts , United States of America
  • Salvatore Distefano, University of Messina, Italy
  • Dirk Habich, Dresden University of Technology, Germany
  • Vasant Honavar, Iowa State University, United States of America
  • Jun Huan, University of Kansas, United States of America
  • Nathalie Japkowicz, University of Ottawa, Canada
  • James Joshi, University of Pittsburgh, United States of America
  • Mohan Kankanhalli, National University of Singapore, Singapore
  • Tao Li, Florida International University, United States of America
  • Geng Lin, Dell Inc., United States of America
  • Muthcumaru Maheswaran, McGill University, Canada
  • Chris A. Mattmann, NASA, United States of America
  • Edin Muharemagic, LexisNexis, United States of America
  • Sangmi Pallickara, Colorado State University, United States of America
  • Shrideep Pallickara, Colorado State University, United States of America
  • Marek Reformat, University of Alberta, Canada
  • Naphtali Rishe, Florida International University, United States of America
  • Mei-Ling Shyu, University of Miami, United States of America
  • Pradip Srimani, Clemson University, United States of America
  • Flavio Villanustre, LexisNexis, United States of America
  • Jun Wang, University College London, United Kingdom
  • Hui Xiong, Rutgers University, United States of America
  • Yelena Yesha, University of Maryland, United States of America
  • Du Zhang, California State University, United States of America
  • Kang Zhang, University of Texas at Dallas, United States of America
  • Peng Zhang, Chinese Academy of Sciences, China
  • Xingquan Zhu, Florida Atlantic University, United States of America

Aims & scope

cover

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.

Instructions for authors | FAQ

About SpringerOpen

SpringerOpenSpringerOpen is Springer’s new suite of open access journals which will cover all disciplines. SpringerOpen journals are fully and immediately open access and will publish articles under the Creative Commons Attribution license. This makes it easy for authors to fully comply with open access mandates and retain copyright. SpringerOpen journals combine open access and our expertise in delivering high-quality and rapid publications, from online submission systems and in-depth peer review to an efficient, author-friendly production process.

Springer Knight

SpringerOpen Newsletter

Receive periodic news and updates relating to SpringerOpen.

Submit a manuscript Sign up for article alerts Contact us Support

Indexed by

  • Google Scholar
  • OCLC
  • Scirus
  • Summon by Serial Solutions

View all

ISSN: 2196-1115