Data management systems for scientific applications

Abstract

Scientific applications now have data management requirements that extend beyond the local computing environment. Scientific disciplines are assembling data collections that represent the primary source data for current research. SDSC has developed data management systems to facilitate use of published digital objects. The associated infrastructure includes persistent archives for managing technology evolution, data handling systems for collection-based access to data, collection management systems for organizing information catalogs, digital library services for manipulating data sets, and data grids for federating multiple collections. The infrastructure components can be characterized as interoperability systems for digital object management, information management, and knowledge management. Examples of the application of the technology include distributed collections and data grids for astronomical sky surveys, high energy physics data collections, and art image digital libraries. © 2001 by Springer Science+Business Media New York.