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A Data Management Approach to Support Aquatic Resources Monitoring.

Published byJessie Bradley Modified over 9 years ago

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Presentation on theme: "A Data Management Approach to Support Aquatic Resources Monitoring."— Presentation transcript:

1 A Data Management Approach to Support Aquatic Resources Monitoring

2 ISEMP Coordinators –Chris Jordan, NOAA-Fisheries –Pamela Nelle, Terraqua, Inc. –Carol Volk, Volk Consulting –Chris Beasley, Quantitative Consultants, Inc. –Nicolaas Bouwes, Eco Logical Research, Inc. –Steve Rentmeester, Environmental Data Services NOAA – Science Data Management Team –Jeff Cowen, NOAA-Fisheries –Rod Davidson, Saber Consulting US Bureau of Reclamation – PN Region –Mike Beaty –Melanie Paquin –Greg Gault –Kristin Swoboda

3 Integrated Status and Effectiveness Monitoring Program (ISEMP) Pilot effectiveness and status and trend monitoring Design and implement watershed-scale experiments (IMW) Develop, test, and implement - Protocols - Sampling designs - Metrics and indicators - Evaluation tools - Data management tools

4 Document Protocol Field Collection Data Entry Agency Storage Agency Analysis Local Analysis Regional Sharing Regional Analysis ? Questions

5 Requirements Ability to integrate data across multiple survey types Support development of indicators, metrics, protocols, sampling designs, and experimental designs Ability to support range of analytical methods (hypothesis testing, time series, structural equations, mapping, etc) Handle large volumes of data from many sources Adapt to changing requirements

6 Assumptions Protocols will evolve (questions evolve and improvements in measurement technology). Metadata can be used for data documentation, discovery, validation and analysis Data to be maintained by data generators and QA/QC to be performed at time of data entry

7 Data Integrity Data entry complies to protocol Ensuring that all metadata is included –Why (statistical design) –How (protocol and methods) –Where (site name, network location) –When (date and time) –Who (agencies and crew members) –What (the data)

8 ARS Attribute ARS Object Method Attribute Method Object Method ARS Survey Type Protocol WhatHow Approach requires two data dictionary - What is observed - How it is observed

9 Survey Types Fine Sediment Fish Capture / PIT Tagging Habitat Macro Invertebrates Site Selection Smolt Trap Snorkel/Electro Fishing Spawning Ground Water Quality

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12 Protocol Manager

13 Automated Template Module

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