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CT DEEP Long Island Sound Water Quality Data archive

CT DEEP Long Island Sound Water Quality Data archive. Todd Fake University of Connecticut NERACOOS/NECOSP Data Management Workshop, Sept. 26, 2012. LISICOS & CT DEEP Long Island Sound Water Quality Data.

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CT DEEP Long Island Sound Water Quality Data archive

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  1. CT DEEP Long Island Sound Water Quality Data archive Todd Fake University of Connecticut NERACOOS/NECOSP Data Management Workshop, Sept. 26, 2012

  2. LISICOS & CT DEEP Long Island Sound Water Quality Data • Development of a sustained capability to observe the Long Island Sound ecosystem and an adequate capability to understand and predict its response to natural and anthropogenic changes. • Provide easier access to this long term water quality data • Added value to LISICOS research and provide other parties direct access to these data

  3. About CT DEEP Long Island Sound Water Quality Data • The Connecticut Department of Energy and Environmental Protection (DEEP), on behalf of the Long Island Sound Study estuary program, conducts a Long Island Sound Water Quality Monitoring Programsince 1991 • October to May, water quality is monitored by collecting samples once a month from 17 sites • Bi-weekly hypoxia surveys start in mid-June and end in September with up to 48 stations being sampled during each survey.

  4. How we manage our data • CT DEEP maintains in-house relational database • Periodically this database is ingested into the LISICOS data system using a series of set queries

  5. Data Management Successes • Allowed researchers to easily access, compare and analyze data • Comprehensive analysis of DO duration • Analysis of long term trends of nitrate and phosphorous • LIS bottom temperature

  6. Data Management Challenges • Once initial framework was built challenges have been minimal • Delay in data transfer – Security and time limitation

  7. Take home points • Allowing data collectors to leverage existing platforms to visualize and serve information • Broadens user base, saves data management time, provided platform to exploit these data

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