Data Science (Big Data/Data Science)

Develop novel architectures, technologies, and methodologies to address the analysis, fusion and automated extraction of data from massive, distributed archives and data sets in both science and non-NASA applications.

Data Science is emerging as a critical area of research and technology to advance scientific discovery, knowledge and decision making through systematic computational approaches to analyzing massive data sets. The sheer volume of data increase, coupled with the highly distributed and heterogeneous nature of scientific data sets, is requiring new approaches for managing, analyzing and understanding data.   The technology effort is focused on developing new software architectures, software tools, and computational methodologies which can improve the performance and automate the extraction of key features, anomalies and patterns in the data to support the big data challenges emerging from observational instruments and systems.