Traditional high performance computing (HPC) systems were designed from a compute-centric perspective, with an emphasis on high floating point performance. As scientific and analytics applications become more data intensive, there is a need to rethink HPC system architectures, programming models, runtime systems, and tools with a focus on data intensive computing. Industry approaches supporting data intensive applications have been highly successful, leading many in the HPC community to explore ways to apply them. Conversely, the HPC community's expertise in designing, deploying, and using high performance systems is attractive to those in industry. The 2015 International Workshop on Data Intensive Scalable Computing Systems (DISCS-2015) provides a forum for researchers and developers to discuss recent results and the future challenges of running data intensive applications on traditional HPC systems and the latest data-centric computing systems.