The Vendor is required to provide a design, develop, and implement a new Data Management System (DMS) for air quality monitoring; new DMS must be a comprehensive, cloud-native solution that enhances data ingestion and supports automated quality control, advanced analytics, robust reporting, and user accessibility.
- Key deliverables include a secure, scalable platform with a modern web interface, real-time data processing, extensive API integration, and full support for regulatory reporting and audit readiness. This project aims to modernize the Air District’s data management infrastructure to improve efficiency, data integrity, and public access to air quality information.
- Key Objectives
A. Modernizing Infrastructure: Transition to a modern, secure, scalable, and resilient cloud-native platform on Microsoft Azure.
B. Data Integration, Acquisition, and Import: Provide connectivity to multiple data sources including ambient monitoring and meteorological data loggers, Sample Master, and other discrete data sources.
C. Data Entry: Provide centralized database management for field samples and environmental field data entry. Samples and environmental field data entries need assignment by unique sample ID (up to 15 characters, including letters, numbers, and characters) and sample dates or other unique identifier.
D. Data Migration: Migrate all historical ambient, meteorological, QA, and metadata successfully from the legacy Microsoft SQL Server database into the new DMS with verified integrity.
E. Enhancing Data Integrity & Efficiency: Enhance data entry and data annotation, with automated, robust quality assurance/quality control (QA/QC) processes and near real time data ingestion to improve data accuracy, completeness, and operational workflow efficiency.
F. Improving Accessibility & Usability: Provide intuitive web-based tools for data validation and analysis and offer the public easier access to air quality information through modern dashboards and APIs.
G. Ensuring Compliance & Audit Readiness: Ensure strong security controls, a full chain of-custody audit rail, and streamlined reporting capabilities to meet stringent regulatory requirements (e.g. EPA AQS submissions) and uphold legal defensibility.
H. Future-Proofing Operations: Establish a flexible modular architecture that can adapt to new monitoring approaches and technologies, evolving EPA regulations and systems, and increased data volumes.
I. Data Archiving and Storage Capacity: Establish a process for continuous data archiving and addressing database storage capacities. Provide a viable solution to retain 18-24 months of raw data with real time accessibility (to be defined by parameter and interval).
