Extensible, Open Source Solutions for Scientific Data Discovery (Invited)

Nowadays, research and development in many scientific fields is conducted by distributed teams of data providers and users, who leverage a web-based service infrastructure for collaborating across geographical and institutional boundaries. Beyond domain-specific characteristics, a software infrastructure for scientific data discovery involves three basic architectural components: services for data publishing, data discovery, and data access. Open source solutions are emerging which allow for fast deployment of distributed science data systems, and customization to a specific domain based on a pluggable information model. This talk will present and compare several examples of data discovery systems built upon open source technologies, which are currently used in disparate science domains: climate science, planetary and radio-astronomy.