Scientific Data Management and Visualization

Abstract

One of the challenges of modern science is data exploration (eScience) that synthesizes theory, experimentation, and computation with advanced data management and statistics. The scientific community produces and consumes massive volumes of unstructured and heterogeneous data from various data sources. State-of-the-art research in “intelligent labs” explores scientific data management and visualization in distributed and heterogeneous environments. The goal of this chapter is to propose and describe a scientific data management and visualization system for scientists to perform specialized data browsing, processing, and visualization using a service-driven integration approach. In order to make scientific data more usable from the Internet, a SOA-based system that uses Web services to manage data is proposed. This chapter discusses the methodology to describe and access scientific data from various sources with different formats, and transform raw data into standard datasets that can be analyzed, processed, and visualized in an effective manner.