DISCOVER: A Service Oriented Approach to Managing Earth Science Data Across Distributed Project-specific Repositories
Title | DISCOVER: A Service Oriented Approach to Managing Earth Science Data Across Distributed Project-specific Repositories |
Publication Type | Conference Proceedings |
Year of Publication | 2008 |
Authors | Keiser, K, Conover, H, Hawkins, L, Beaumont, B, He, M, Drewry, M, Nair, M |
Conference Name | AGU 2008 Fall Meeting |
Date Published | 12/2008 |
Conference Location | San Francisco, CA |
Keywords | Web Services |
Abstract | The Global Hydrology Resource Center (GHRC), a NASA Earth Science data center managed by the University of Alabama in Huntsville, is one of twelve data centers that make up the Distributed Active Archive Centers (DAAC) Alliance. Over the years, GHRC staff have developed and evolved a production information management infrastructure to ingest, inventory, archive and distribute a variety of data products to our users. The GHRC has also collaborated with Remote Sensing Systems (RSS) over the course of three NASA Earth Science programs (ESIP, REaSON, and now MEaSURES) to develop valuable Earth science products and services, specifically for passive microwave sensors. This continued effort, known as the DISCOVER (Distributed Information Services for Climate and Ocean products and Visualizations for Earth Research) project, has been able to explore more experimental data services. A result of this collaboration is that services developed and hardened in the DISCOVER service oriented architecture may be integrated into the baseline GHRC infrastructure. For example, the GHRC Data Pool was originally developed for DISCOVER and is now supporting the inventory, search and distribution of science data products across multiple GHRC and DISCOVER data repositories. Distributed services for harvesting metadata and packaging data orders interoperate with two complementary search/access/order user interfaces through a central metadata and order tracking database. This presentation will discuss the science data tools and service |
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