Community Air Quality Data Systems Strategy

From Federation of Earth Science Information Partners

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Versions:

• 2008-03-10: Husar Added Architecture and Governance to Desired Char. Section
• 2008-03-06: Wiki Version of Scheffe Outline.
• 2008-03-05: Scheffe: Community Air Quality Data Systems Strategy Word doc

Contents 1 Introduction and Purpose 1.1 Refine Air Quality Data System Vision and Goals 1.2 Continue communications started at the data summit 1.3 Solicit Advice on Data System Evolution and Assessment 1.4 Advise EPA and other organizations on Air Quality Data System IT Issues 1.5 Process for moving forward 2 Typical Applications of Data Systems 2.1 Models, Forecasting & Reanalysis 2.2 Emissions 2.3 Status, Trends, Pollutant Characterization 2.4 Public Health Applications 2.5 Assessments 3 Current Information Systems 3.1 Inventory of Current Air Quality Data Providers 3.2 Inventory of Data Enabling or Hub Systems 3.3 Mapping system connections and communications (based on 2 and 3) 4 Desired Characteristics of Air Quality Data Systems 4.1 Data Systems Architecture 4.2 Recommended Interoperability Approach Protocols 4.3 Preferred Data Manipulation and Visualization Attributes 4.4 Data System Governance and Sustainability 5 Assessment of System Strengths and Weaknesses 5.1 EPA systems assessment 5.2 External 6 Early near term opportunities

[edit] Introduction and Purpose

[edit] Refine Air Quality Data System Vision and Goals

[edit] Continue communications started at the data summit

• Improved system interoperability and efficiencies

• Reducing redundancies

• Increase awareness of existing systems

[edit] Solicit Advice on Data System Evolution and Assessment

[edit] Advise EPA and other organizations on Air Quality Data System IT Issues

[edit] Process for moving forward

• Conference calls, wiki, etc.

[edit] Typical Applications of Data Systems

Data systems needs to be designed to support both current as well as unknown future applications. Typical current applications are listed below. However, there is an outstanding question: What do we mean by 'End Users' of data systems? Tech-savy analysts who manipulate the data? Domain expert analysts who interpret and analyze the data? Policy/management analysts who interpret data for policy/management decision-makers? Management decision makers themselves?

[edit] Models, Forecasting & Reanalysis

[edit] Emissions

[edit] Status, Trends, Pollutant Characterization

[edit] Public Health Applications

[edit] Assessments

(Accountability, Policy Support, Monitoring Networks, NAAQS Dev/Implementation)

[edit] Current Information Systems

[edit] Inventory of Current Air Quality Data Providers

[edit] Inventory of Data Enabling or Hub Systems

[edit] Mapping system connections and communications (based on 2 and 3)

• Spreadsheet (S. Falke’s) matrix and schematic(s) of system inflows and outflows
• Tabular condensing of system attributes

[edit] Desired Characteristics of Air Quality Data Systems

[edit] Data Systems Architecture

[edit] Recommended Interoperability Approach Protocols

[edit] Preferred Data Manipulation and Visualization Attributes

[edit] Data System Governance and Sustainability

[edit] Assessment of System Strengths and Weaknesses

• Compare systems with attributes defined in (5)

[edit] EPA systems assessment

[edit] External

[edit] Early near term opportunities

• EPA AMI IT cyberinfrastructure proposal
• HEI second stage
• NASA ROSES CSU/UNC VIEWS
• Internal EPA