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INTRODUCTION TO THE SYSTEM Kansas Department of Health and Environment Facility Profiler System.

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Presentation on theme: "INTRODUCTION TO THE SYSTEM Kansas Department of Health and Environment Facility Profiler System."— Presentation transcript:

1 INTRODUCTION TO THE SYSTEM Kansas Department of Health and Environment Facility Profiler System

2 Exchange Network Grant History One Stop Grant $500,000 (’02) Readiness Grant $297,000 (’03) Implementation Grant $300,000 (’04) Challenge Grant (HERE) $750,000 (’05) Infrastructure Grant (CME) $223,000 (’06) Implementation II $245,000

3 Exchange Network Flow Goals State to EPA & EPA to State  FRS, NEI, SDWIS, AQS, RCRA, FEA, RMP  RCRAInfo, WQX, UIC, ICIS-NPDES (Proposed) State to State  KS to {MO,NE,IA} (HERE Project Presentation Tomorrow) Intrastate  KDA to KDHE (Ag Chemicals) Regulated Community  TRI

4 Facility Profiler Data Content Affiliated Parties 45 32’ N 122 40’W Facility name, Industry Classification Environmental Interests Geographic Location

5 Facility Profiler Goals Establish an agency-wide data sharing environment Support FOIA requests (e.g., ‘Who’s doing what nearby?’) thus reducing agency burden Support drivers for integrated environmental data from EPA, the legislature, and the regulated community Assist with internal bureau coordination (e.g., during permit reviews or enforcement actions) Participate in the National Exchange Network

6 Facility Profiler Overview

7 Additional Benefits Browser based GIS mapping capabilities on agency desktops Facility location address cleaning Derivation of facility location coordinates Identification of facility duplication in existing systems Facility name data standardization Allows users to query and download data Can provide a ‘portal’ to bureaus’ inquiry systems

8 Multiple Source Systems

9 Multiple External Connections KDHE Intranet Internet Applications

10 Monarch Cement

11 Wichita Area of Interest

12 Sharing Facility Profiler Reuse  Michigan (.Net, SQL Server)  Kansas (.Net, Oracle)  North Dakota (.Net, SQL Server)  Nevada (.Net, Oracle)  Connecticut - variant (.Net, SQL Server)  Missouri (Java, DB2)

13 Conclusions Integration doesn’t have to be all or nothing  Integrated data access doesn’t require integrated data management – a warehouse can be a highly effective, lower cost alternative Integration is not just an agency thing anymore  Data about your state is probably disparate;  The EN allows for comprehensive data integration States can collaborate effectively  Share data – e.g., HERE  Share investments – e.g., Node, Plugins, Applications (FP)


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