The Journal of Data Science publishes research works on a wide range of topics that involving understanding and making effective use of field data 

Research areas include traditional subjects such as:

• Theory of algorithms and computability 
• Automata theory
• Complexity theory 
• Algorithmic Complexity 
• Parallel & distributed computing 
• Computer networks 
• Neural networks 
• Computational learning theory 
• Database theory & practice 
• Computer modeling of complex systems 
• Security and Privacy
• Pattern recognition
• Computer vision
• Expert system
• Cryptography
• Watermarking