Scientific Big Data refers to Big Data that is collected, organized, stored, managed, and, most importantly, analyzed to enable and to accelerate discoveries in science. Examples of Scientific Big Data include nuclear research data, where the CERN Institute, the European Organization for Nuclear Research, is a major contributor; all of the data reported on the generation and consumption of all forms of energy on a global scale, where Smart Grids are a tremendous source of that data; and all the aeronautics and space data collected over the last few decades, including almost 100 years of data exposed by NASA as part of the Open Government initiative by the US government. Therefore, in this workshop, we focus on the Scientific Big Data rather than the usual Big Data in the perspective of data management cycle such as collection, manipulation, storage, visualization, analysis, and application.