An integrated approach to data management, risk assessment, and decision making

Area of Science:

• Environmental Science
• Risk Assessment
• Public Health

Background:

• The Cerro Grande fire in 2000 highlighted weaknesses in environmental data management and communication for decision-making.
• A lack of coordinated approaches hindered agencies' ability to respond effectively to environmental data.

Purpose of the Study:

• To introduce and describe the Risk Analysis, Communication, Evaluation, and Reduction (RACER) methodology.
• To demonstrate how RACER converts environmental data into actionable human health risk information.
• To enhance decision-making and communication processes in environmental management.

Main Methods:

• Developed and implemented the RACER methodology following the Cerro Grande fire.
• Established a web-accessible database for managing validated environmental data.
• Utilized human health risk as a benchmark to convert data into knowledge for ranking contaminants and pathways.

Main Results:

• RACER provides a transparent, flexible, and rapid system for risk assessment and communication.
• Environmental data is converted into human health risk insights for informed decision-making.
• Knowledge is communicated effectively through graphic and tabular formats.

Conclusions:

• The RACER methodology enhances credibility and trust among decision-makers and stakeholders.
• RACER's principles are applicable to any scenario involving environmental radionuclides or chemicals.
• Effective risk communication is crucial for managing environmental data and improving response.