09/12/2003CCAQS Data Management System1 Central California Air Quality Studies Data Management System Status Report to the Study Agency Policy Committee.

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Presentation transcript:

09/12/2003CCAQS Data Management System1 Central California Air Quality Studies Data Management System Status Report to the Study Agency Policy Committee Sept. 12, 2003

09/12/2003CCAQS Data Management System 2 Database Contents CCOS Records CRPAQS Records CCOS 97 % of data available SIP Support CRPAQS 90 % of data available Data Analysis Support Outstanding Issues Current Status

09/12/2003CCAQS Data Management System 3 Remote Data Access Very Important Most Frequently Missing Data… e.g. Documentation & “Supporting Information” Consequences: Supporting data become unavailable Results in questionable data points Post Field Study Documentation Difficult Value Associated Loss of Value $ / Record Design Based on Past Experience

09/12/2003CCAQS Data Management System 4 System to Store All Valuable Info: “Place” for Everything Collected e.g. Instruments & Methods (Field or Lab) Rigid Data Submittal Standards Collect Info Up Front in Field Data Submittals Screen Incoming Files Automate Quality Assurance Automate Data Validation from Analysts Address User Needs Up Front Bring User Input Into Design Phase Limit Standard Output Formats Allow Ad-Hoc Requests via Web Interface “Value-Based Design”

09/12/2003CCAQS Data Management System 5 “Methods & Instruments” Example of Relational Database

09/12/2003CCAQS Data Management System 6 File Structures & Internal Processing File Structures & Internal Processing Data Input Data Output Data Processing

09/12/2003CCAQS Data Management System 7 CCAQS vs. SARMAP CCAQSSARMAP Data Sources1611 # Records130 Million4-5 Million # Days43060 Challenges

09/12/2003CCAQS Data Management System 8 Standards Standards Development Required Iterative Process Input – Data Submittal From Contractors Data Processing Output – Data Delivery to Clients More Time and Effort Than Anticipated BenefitSponsors Will Realize Maximum Value for Data Analysis and Modeling Purposes Benefit - Sponsors Will Realize Maximum Value for Data Analysis and Modeling Purposes Challenges

09/12/2003CCAQS Data Management System 9