eScience: Data Management and Analysis Services for Data-Driven Science
The rapid growth in the generation of digital data is changing computational science in a fundamental way. Traditionally, the scope of computational problems was limited by the available processing power. But today, many problems are extremely data-intensive, and the lack of large-scale storage infrastructure creates a new bottleneck. Thus, modern data-intensive applications need high-performance computational resources and a system in which the computational resources are tightly coupled with large-scale storage.
We are currently focusing on the following applications:
- Tracking Environmental Change based on Bird Abundance Data
- Data Management for Large-Scale Astronomical Surveys Using the Arecibo Telescope
- Managing Metadata and Provenance for the High-Energy Physics Community
The ultimate vision of this work is to create general-purpose data management and analysis services, which can be tailored easily to concrete applications in different fields of science. These services will enable users to focus on their scientific tasks, freeing them from having to set up an increasingly complex data-processing infrastructure.