Resumen
The article focuses on how to automate management of the flood of scientific data being collected in astronomical and neuroscience projects. Computational science is expanding to include not only analysis based on simulations but those requiring manipulation of large data collections. The need for data-intensive computing is being driven by the massive amounts of data now available in various scientific disciplines. As a consequence, supercomputing systems have to incorporate data and information-handling technologies to manage these very large data sets. And as the amount of data in storage environments, such as digital libraries, increases, it will be necessary to use supercomputers to analyze their holdings. The co-evolution of supercomputer and digital library technologies will therefore form the basis for future scientific applications and information-analysis activities. For supercomputers, the creation of information and its organization and use in future computations is the ultimate goal.

Resumen
The article focuses on the role of Biogrids in the delivery of health care and in the understanding of evolutionary processes. Biogrids are increasingly important in the development of new computing applications for the life sciences and in providing immediate medical benefits to individual patients and even to those only at risk of getting sick. The development of targeted grids providing practical solutions to individual problems is also important in the overall development of grid technology, providing immediate, visible rewards from the continuing investment. The article explores four grid projects designed for specific biomedical issues: the SARSGrid for a global medical emergency; the eScience Diagnostic Mammography National Database project to develop a grid-enabled database of annotated mammograms; a temporary global grid constructed as a demonstration project to analyze arthropod evolution called the GliederfüsslerGrid; and the Biomedical Informatics Research Network devoted to neurology.