- EPA's Data Finder
- List of Databases & Software
- Environmental Data Registry
- Reg Stat - summary of data, statistics and trends
- Envirofacts Data Warehouse
- Central Data Exchange
- Geospatial Data
- Compliance & Enforcement Data Systems
- EPA's Quality System for Environmental Data and Technology
- Science Inventory
- Cleaning Up Our Land, Water and Air
- EMAP (Env'l Monitoring & Assessment) Data
Related Mid-Atlantic Information
Data is used in decision-making. We take facts and information and apply our judgment to make decisions on how best to help the environment. We:
- ensure the quality of data collected
- connect programs to environmental results & then evaluate environmental results to prioritize our work
- use the data in decision-making
- connect data sets to gain additional insights
Here's how the process works.
- EPA programs feed information, like monitoring data, into Logic Models.
- Then we look at Indicators, which give us a sense of the impact on the environment.
- Then we use the Multi-criteria Integrated Resource Assessment (MIRA) tool to decide what should be done, like requiring pollution controls.
- Connect programs: How do EPA program activities impact environmental results? (Use Logic Models)
- Measure environmental results: Match indicators with environmental results (Use Logic Models)
- Evaluate environmental conditions/results using indicators (Use MIRA)
- Prioritize program outcomes (Use MIRA)
- Prioritize activities based on prioritized outcomes (Use MIRA and Logic Models)
Our policies take into account our values -- what's most important to us and what we are trying to achieve. Our values may be different at different times and in different locations. For example, the amount of a pollutant allowed to be discharged into a stream may be based on whether that stream is using for swimming, for fishing, for boating, or for none of those uses. This concept as an equation is: Policy = Values x Indicators.