HR: 10:50h
AN: SF42A-03    [Abstracts]
TI: The Data Management and Communications (DMAC) Strategy for the U.S. Integrated Ocean Observing System (IOOS)
AU: * Hankin, S
EM: steven.c.hankin@noaa.gov
AF: NOAA/PMEL, 7600 Sand Point Way NE, Seattle, WA 98125 United States
AB: Data management and communications within the marine environment present great challenges due in equal parts to the variety and complexity of the observations that are involved; the rapidly evolving information technology; and the complex history and relationships among community participants. At present there is no coherent Cyberinfrastructure that effectively integrates these data streams across organizations, disciplines and spatial and temporal scales. The resulting lack of integration of data denies US society important benefits, such as improved climate forecasts and more effective protection of coastal marine ecosystems. Therefore, Congress has directed the US marine science communities to come together to plan, design, and implement a sustained Integrated Ocean Observing System (IOOS). Central to the vision of the IOOS is a Data Management and Communications (DMAC) Subsystem that joins Federal, regional, state, municipal, academic and commercial partners in a seamless data sharing framework. The design of the DMAC Subsystem is made particularly challenging by three competing factors: 1) The data types to be integrated are heterogeneous and have complex structure; 2) The holdings are physically distributed and widely ranging in size and complexity; and 3) IOOS is a loose federation of many organizations, large and small, lacking a management hierarchy. Designing the DMAC Subsystem goes beyond solving problems of software engineering; the most demanding aspects of the solution lie in community behavior. An overview of the plan for the DMAC Subsystem and an outline of the next steps forward will be described.
DE: 4200 OCEANOGRAPHY: GENERAL
DE: 4500 OCEANOGRAPHY: PHYSICAL
DE: 4800 OCEANOGRAPHY: BIOLOGICAL AND CHEMICAL
DE: 0910 Data processing
SC: Special Focus: Advances in Data Acquisition, Management, Analysis and Display [SF]
MN: 2004 AGU Fall Meeting