Springer has recently announced a new journal "Computing and Software for Big Science". The journal presents new concepts for large-scale, collaborative computing and software development for particle, astroparticle, and nuclear physics domains, and in particular:

• Explores emerging issues in big-science development 
• Includes coverage of distributed data analysis and deep learning algorithms
• Presents articles on software benchmarking, performance assessment and on data-quality monitoring on or off-line
• Discusses aspects of evolving computing infrastructures

Peter Elmer (Princeton) serves on the editorial board for the new "Computing and Software for Big Science" journal.