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 Issue on Advancements on Automated Data Platform Management, Orchestration, and Optimization
Submission Date: 2024-09-30

Edited by:

Matteo Francia, PhD, University of Bologna, Italy
Enrico Gallinucci,  PhD, University of Bologna, Italy
Patrick Marcel,  PhD, University of Orléans, France
Stefanie Scherzinger,  PhD, University of Passau, Germany

Journal of Big Data is calling for submissions to our Collection on "Advancements on Automated Data Platform Management, Orchestration, and Optimization" in conjunction with papers accepted from the workshop: 3RD INTERNATIONAL WORKSHOP ON DATA PLATFORM DESIGN, MANAGEMENT, AND OPTIMIZATION.

Information systems have evolved into complex data platforms supporting end-to-end data-intensive needs, such as storage, computation, and analysis of data with heterogeneous structures. However, smart and comprehensive support for data scientists and architects to govern the data through the whole life cycle is still necessary. The challenges begin with the management of metadata itself in terms of the modeling effort, storage, complexity of retrieval activities, and effective exploitation; these problems are further amplified in the age of data science, which witnesses data scientists prevail over data architects.

Special Issue on Emergent architectures and technologies for big data management and analysis
Submission Date: 2024-10-01

Edited by:

Robert Wrembel, Poznan University of Technology; Interdisciplinary Centre for Artificial Intelligence and Cybersecurity, Poland
Andrea Kő, Corvinus University of Budapest, Institute of Data Analytics and Information Systems, Hungary
Philippe Cudré-Mauroux, University of Fribourg, Switzerland

Journal of Big Data is launching a special Collection entitled, 'Emergent architectures and technologies for big data management and analysis,’ with papers accepted from the Big Data in Emergent Distributed Environments (BiDEDE 2024) workshop. BiDEDE 2024 is in conjunction with the 2024 ACM SIGMOD Conference (https://www.ifis.uni-luebeck.de/~groppe/bidede/2024).