a data management approach to support aquatic resources monitoring

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A Data Management Approach to Support Aquatic Resources Monitoring

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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

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Page 1: A Data Management Approach to Support Aquatic Resources Monitoring

A Data Management Approach to Support Aquatic Resources Monitoring

Page 2: A Data Management Approach to Support Aquatic Resources Monitoring

• 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

Page 3: A Data Management Approach to Support Aquatic Resources Monitoring

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

Page 4: A Data Management Approach to Support Aquatic Resources Monitoring

Document Protocol

Field Collection

Data Entry

Agency Storage

Agency Analysis

Local Analysis

Regional Sharing

Regional Analysis

?Questions

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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

Page 6: A Data Management Approach to Support Aquatic Resources Monitoring

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

Page 7: A Data Management Approach to Support Aquatic Resources Monitoring

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)

Page 8: A Data Management Approach to Support Aquatic Resources Monitoring

ARSAttribute

ARSObject

MethodAttribute

MethodObject

Method

ARSSurveyType

Protocol

What How

Approach requires two data dictionary - What is observed - How it is observed

Page 9: A Data Management Approach to Support Aquatic Resources Monitoring

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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Protocol Manager

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Automated Template Module

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Automated Template Module

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Automated Template Module

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Automated Template Module

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Automated Template Module

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Automated Template Module

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Automated Template Module

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Automated Template Module

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Automated Template Module

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Automated Template Module

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Automated Template Module

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Automated Template Module

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Automated Template Module

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