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National Monitoring Network Report Methods and Data Comparability

This report outlines the methods and data comparability issues in national monitoring networks, discussing the causes for data gaps and the need for information sharing. It emphasizes the importance of data quality and measurement quality objectives, as well as the challenges in increasing monitoring specificity. The report also covers data sharing across boundaries, the need for metadata and data sharing mechanisms, the use of new technologies, and case study examinations. It concludes by addressing the competition for resources and providing recommendations for improving monitoring practices.

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National Monitoring Network Report Methods and Data Comparability

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  1. National Monitoring Network ReportMethods and Data Comparability Chapter 5 Outline National Monitoring Council Meeting April 12-14, 2005

  2. Chapter 5 Outline • 5.1 Background – Statement of Problem fromMethods and Data Perspective • Lack of comparability and why • Causes for data gaps • Need for methods and data comparability and how that leads to information sharing • Data Quality and Measurement Quality Objectives and defining data quality • Tradeoffs – increasing specificity of monitoring effort can limit wide usage and how to overcome

  3. Chapter 5 Outline • 5.2 Sharing Data Across Boundaries • Transparency in data systems and data system architecture • Data system boundaries -- Internet & interoperability issues, data storage • Data security issues • Functionality • Data transport • Examples of data shared across state boundaries, e.g., Pacific Northwest Data Exchange

  4. Chapter 5 Outline • 5.3 Need for Meta Data and Data Sharing Mechanisms • Laboratory and field method characterization • Water Quality Data Elements • Fields necessary for generating comparable metadata • NEMI • How NEMI can be used to select methods with appropriate QA/QC and other elements that lead to comparability • Developing expert system – ensure that metadata related to each element of Monitoring Framework is compatible with methods selected for sampling & analysis, QA/QC, data base fields, and other monitoring goals (DQOs, MQOs) • Minimum metadata requirements

  5. Chapter 5 Outline • 5.3 (continued) • Minimum data formatting requirements • Data and metadata web accessibility • Development and maintenance of metadata • Adaptability of metadata • Subsetting data • Aggregating data • Products and merging data • Tracking metadata maintenance • Data quality metadata • Complete metadata • Archive of metadata

  6. Chapter 5 Outline • 5.4 Need for Use of New and Innovative Technologies • New technologies in assuring comparability • Network focus on technology advancements to improve the the quality and affordability of water monitoring • Impact of technologies developed related to water security

  7. Chapter 5 Outline • 5.5 Case Study Examination • DQOs and MQOs Established? • Field and Sampling Protocols and Procedures Used • Available Data and Metadata • Comparability of Existing Information Using Tools Outlined Previously

  8. Chapter 5 Outline • 5.6 Competition for Resources • Refer back to many other reasons for monitoring not specifically addressed in report • Recapitulate various solutions/recommendations Should 5.5 be in this Chapter?

  9. Technical Appendices • WQDE Guide • Value of Comparability Fact Sheet • NEMI Fact Sheet and NEMI-CBR Poster info • NOAA Products – IOOS Management and communications • Value of Laboratory Accreditation Fact Sheet and Federal Laboratory Accreditation Paper • PBS Report • Paper discussing DQOs and MQOs in nitrate measurement • Part of IMPACT paper? Could be used more broadly in report • Other?

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