Contents
Section 5: Lessons from the Field — Case Studies and Strategic Insights.....................21 California – Traffic Exposure Mapping ......................................................................................... 22 San Bernardino County, CA – Environmental Health Services Modernization.............22 Texas – SHARP Platform ................................................................................................................. 23 Tennessee – Source Water Assessment Modernization......................................................23 Synthesis and Key Insights from Case Studies........................................................................24 Section 6: Emerging Strategies and Technologies in Data Modernization.....................25 Secure Organizational AI..................................................................................................................25 Data and Cybersecurity: Protecting Information Assets.......................................................26 Cloud Computing: Infrastructure for Modernization...............................................................26 Data Sharing: Enhancing Collaboration and Transparency..................................................26 Section 7: Charting the Path Forward: Strategic Guidance and the Road to Implementation..................................................................27 Call to Action.........................................................................................................................................27 Getting Started: A Checklist for Data Modernization.............................................................28 Environmental Health Data Modernization: Getting Started Checklist............................28 Key Success Factors Throughout the Process..........................................................................29 Phase 1: Assessment and Planning..........................................................................................29 1. Current Readiness Assessment................................................................................................29 Inventory Existing Data Systems ....................................................................................... 29 Evaluate Data Quality and Gaps........................................................................................29 Assess Organizational Readiness.....................................................................................29 2. Strategic Planning..........................................................................................................................29 Define Modernization Goals and Priorities ..................................................................... 29 Conduct Stakeholder Analysis............................................................................................29 Develop a Phased Implementation Plan.........................................................................30 Phase 2: Foundation Building.....................................................................................................30 3. Data Literacy and Skills Development....................................................................................30 Assess Current Capabilities.................................................................................................30 Deliver Foundational Training..............................................................................................30 4. Governance and Standards........................................................................................................30 Establish Data Governance Framework..........................................................................30 Adopt Standardization Practices.......................................................................................30
Acknowledgments............................................................................................................................ ii Primary Authors......................................................................................................................................ii Contributing Authors.............................................................................................................................ii Reviewers and Advisors.......................................................................................................................ii Support and Funding.............................................................................................................................ii Foreward............................................................................................................................................. iii Section 1: Introduction to Data Modernization and Environmental Health Informatics....1 The Case for Data Modernization....................................................................................................1 Strategic Role of Data Modernization in Environmental Health............................................2 Core Principles to Guide Data Modernization..............................................................................2 Barriers and Challenges to Data Modernization.........................................................................3 Section 2: Data Literacy and Foundational Skills......................................................................4 Environmental Public Health Data Overview...............................................................................4 Key Data Sources...................................................................................................................................6 Data Quality and the Role of Metadata..........................................................................................8 Managing Data with Integrity, Privacy, and Compliance......................................................10 The Importance of Data Standards..............................................................................................10 Key Standards Supporting Modern Environmental Health Systems................................10 Visualization and Communication.................................................................................................11 Section 3: Core Principles of Data Modernization.................................................................12 The FAIR Principles for Optimal Data Use.................................................................................12 Timeliness and Real-Time Access................................................................................................13 Role of Consistency............................................................................................................................13 Accessibility and Usability...............................................................................................................13 Governance and Security.................................................................................................................14 A Data-Centric Culture......................................................................................................................14 Section 4: Essential Tools and Technologies for Data Modernization..............................15 Foundational Technology Needs in Environmental Health..................................................15 Geographic Information Systems (GIS).......................................................................................16 Data Visualization Platforms...........................................................................................................17 Data Processing and Analysis Tools............................................................................................18 Mobile Data Collection and Field Tools.......................................................................................19 Artificial Intelligence (AI) ................................................................................................................... 20
Powered by FlippingBook