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Enhancing Oceanographic Data Quality Control: A Systems Approach

This article discusses a comprehensive method for quality control in oceanographic data processing, focusing on system design and implementations. By leveraging a robust analysis suite combined with modular and extensible system designs, the approach aims to improve the reliability and user-friendliness of oceanographic data, particularly in the context of tidal current predictions. The necessity of addressing increasing data flows, diverse formats, and collaboration challenges is highlighted, alongside the implementation of a Capability Maturity Model to ensure systematic progress and decreased defects in data quality control.

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Enhancing Oceanographic Data Quality Control: A Systems Approach

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  1. Chris Paternostro, Oceanographer NOAA, Center for Operational Oceanographic Products and Service Roman Semkiw, Systems Analyst Systems Integration and Development, Inc. An Oceanographic Processing Environment: From System Design to Data Quality

  2. A Method of Quality Control for Systems that Quality Control Data

  3. System Quality Control

  4. A Classic Example

  5. National Current Observation Program Tidal Current Predictions from: • Area Surveys • Real Time in Shipping Channels Provide Data for: • Navigation • Search and Rescue/HAZMAT • Coastal & Estuarine Circulation Tidal Current Tables

  6. Why? • Increasing data flow • Yearly increase in the number of data collection sites • Increasing temporal resolution • Increasing spatial resolution • Collaboration • Distributed Data Sets • Various Numerical Units • Various File Formats • Antiquated Computer Software

  7. Capability Maturity Model (CMM) • CMM Level 3 – The development process follows well defined rules and methods • Tracks time and progress • Method for attaining a quality of the final product • Robust Project Planning

  8. Steps for System Quality Control

  9. Requirements for Data Quality Control

  10. System Design • Modular • Extensible • Platform independent • Transferable • Consistent

  11. Benefits • Reduce Defects • Improved User Friendliness • Reliability of Results • Designed to User Specifications • Improving the operational process • Robust Analysis Suite

  12. Advanced Analyses

  13. Summary • A lot of new software to be developed • Decreased Defects • Changing computer environment • Transfer Data • Share Computer Code • Advanced Algorithms

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