EPA Data Management
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EPA Data Management
Lessons Learned from TOPOFF II Region 10, SeattleMay 2003
Lessons Learned from 9/11
Form one integrated unified command
Get valid, useable data as quickly as possible to end users.
Integrate data management in UC to avoid different results from different agencies
TOPOFF II May 2003 Rad “dirty bomb” (RDD) in Seattle, bio
attack in Chicago Seattle venue: 4000 responders and
personnel, dozens of agencies The exercise ran 36 consecutive hours Rad plume impacts much of downtown and
thousands of homes, businesses, and roads Rad runoff impacts Puget Sound and POTW
1 yr relocation PAG
2 yr relocation PAG
50 yr relocation PAG
N
PugetSound
Aproximate plume scale
Green = 10 milesAva = 6 milesGold = 4 miles
Seattle, WA
EPA Data Management Model
Digitize all data including field screening and real-time monitoring
Integrate Quality Assurance and equipment calibration process systems into data management system to expedite validation of data
Expedite delivery and interpretation of data to end users (UC, public, press, agency management, DHS)
TOPOFF Data Management Objectives
UC
EOC HQ
RICT NICT
JFO DHS WH
O P L F
SU
Lessons Learned
The federal government must have a robust data management process.
Public and political pressure for data cannot be overstated.
During crisis phase, EPA not in the driver seat.