Mass storage is critical in the era of Big Data. Dispersing a huge data file in a large-scale distributed storage system is necessary in order to enhance reliability and availability. By introducing redundancy in the system, we can protect the data integrity from node failures. As node failures occur frequently in large-scale storage system, a considerable volume of Internet traffic is dedicated to the repair of failed storage nodes. Several classes of distributed storage codes, such as regenerating codes, locally repairable codes and so on, are introduced recently to reduce this overhead and disk input/output cost. Nevertheless, there still remains substantial research work for advancing distributed storage coding and systems in both theory and applications. This workshop will provide an excellent platform for computer systems researchers and data scientists to exchange ideas and experience that coding techniques and distributed storage systems can offer to big data applications, and to understand the challenges that we need tackle to realize the full potential.