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RODAN: Rutgers Ocean Data Access Network powered by Java technologies
Yunqing P. Zhang, Rutgers Univ., New Brunswick, NJ; and J. F. Fraccassi, J. E. Wiggins, S. M. Glenn, and F. Grassle
With the rapid development of remote sensing and observation technologies, scientists have been able to collect an unprecedented amount of data on our ocean environment in the past decade. Strategic and structural data management is essential in successfully transforming this vast reservoir of information into a useful scientific data product. The Long-term Ecosystem Observatory (LEO), located offshore of Tuckerton, New Jersey, is composed of two instrument platforms (nodes) at 15 meter depth and a surrounding network of satellite, aircraft and shore-based remote sensing systems (Grassle et al., 1998; Glenn et al., 1999). The major purpose of the Observatory is to obtain oceanic and meteorological observations over broad temporal and spatial scales. To facilitate open access and fast distribution of archived LEO data, we have established the Rutgers Ocean Data Access Network (RODAN), an integrated data management and analysis system. RODAN supports customized search, retrieval, analysis and visualization of data through an intuitive web interface. Using the widely-hailed three-tier client-server technology, RODAN integrates and streamlines the previously separated tasks of storing, retrieving, searching, analyzing and plotting data. In addition, the new multi-tiered and multi-threaded servlet framework of RODAN decreases database connection time and ensures scalability for future growth. Moreover, multi-threaded server applications allow RODAN to perform multiple tasks simultaneously, maximizing efficiency. As a result, the adoption of state-of-the-art Java 2, especially servlet and 2-D technology-based Application Programming Interfaces (APIs), makes RODAN more robust and universally transferable. Since its inception, RODAN has been providing data services to numerous users from universities and research laboratories and has become a well-regarded venue for scientific exchange and collaboration.
Session 1, New Ocean Observing and Data Management Systems (NOPP Special Session)
Monday, 15 January 2001, 8:30 AM-12:30 PM
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