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Journal of Big Data is now indexed in the Science Citation Index Expanded (SCIE).  We are happy to announce that in June 2022, we received our first Impact Factor rating of 10.835!

Call for papers: Big Data in Human Behaviour Research: A contextual turn?

Despite its considerable contributions, big data analytics has long been criticized for the lack of systematic contextual consideration. This special issue takes a dedicated look into these diverse ways of interaction, which are shaped by the socioeconomic, cultural, and political factors of different contexts, can best facilitate a much-needed conversation between human and data sciences. 


Aims and scope

The Journal of Big Data publishes open-access original research on data science and data analytics. Deep learning algorithms and all applications of big data are welcomed. Survey papers and case studies are also considered.

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 a seminal source of innovative material.

Special Issues

Advanced Soft Computing Methodologies and Applications in Social Media Big Data Analytics
Edited by: Zhiyong Z. Zhang, Kun Hua, Arun Kumar Sangaiah
First published: 25 January 2018

Knowledge-Based Big Data Management in Cloud Computing Environments
Edited by: Zongmin Ma, Fu Zhang, Wen-Chen Hu
First published: 16 July 2015

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