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Exchange Network – Why Should I participate??? Whad’ya Node? Exchange Network Node Mentoring Workshop Presented by Molly O’Neill New Orleans, Louisiana February 28-March 1, 2005. History. In the past, States had to report data to EPA in many different formats for each regulatory program
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Exchange Network – Why Should I participate??? Whad’ya Node? Exchange Network Node Mentoring Workshop Presented by Molly O’Neill New Orleans, Louisiana February 28-March 1, 2005
History • In the past, States had to report data to EPA in many different formats for each regulatory program • Resource double data entry • Maintenance of interfaces • Tracking changes that EPA made to databases • Staff might need expertise in many different code languages simply for the exchange processes alone • EPA national data systems and state data systems not in sync • Huge problem when the press queries a national database and lists issues with State (e.g., not following up on an issue) that might not be true
History • In frustration, some states refused to report to national systems or had EPA Regional offices do the work • Data gaps now present • Existing and old exchange mechanisms compromised the data quality Staff (data users) may spend up to 50% of their time looking for data – access is limited for all the reasons stated previously
History of the EN • 2000 Blueprint and 2002 Implementation Plan provides the conceptual design of the Exchange Network and initial focus areas • Focus was on Type 1 flows with an understanding that other types of flows could also be supported in the future • Type 1 flows were the State to EPA data flows
Early implementation findings • Other Federal Agencies adopting the same EN core concepts of utilizing web services and XML language • Homeland Security, Dept of Justice, Department of Defense, Dept of Health and Human Resources • Initial technology decisions were the correct ones • This means, sharing data across agency/department boundaries will/should be much easier
Early implementation Findings • The concepts of the EN can be distributed and used eBusiness/eGoverment • Michigan DEQ demonstrates this with their eDMR/eDWR data flow from industry to state databases to federal databases automatically • Cost savings being documented and captured for both the state and industry are a great story (Associated Press article written)
Paradigm Shift • Publishing data on the Node provides unparalleled access to data • Data owner can control access to secure area where data is published • Owner can provide continuous real time data to data consumers or users
Benefits and Examples • Real time and better access to data • Pacific Northwest Water Quality Exchange • Linkages between Health and Environmental Data A Quick Case Study…..leveraging data published (web service) on Node Washington Department of Ecology
Exchange Data Flow Model Later…
DOH EIEIO Application Fish Tissue Contamination and Birth Defects Assessment Application Leveraging information published for multiple purposes..how does WA DOH access and store WA DOE data?
DOH EIEIO Application – Screen Shot 1Query Results – List of Studies
DOH EIEIO Application – Screen Shot 2Query Results Date Range, Location, Taxon, Analyte
Benefits • Using the Exchange Network…… • Much better quality data being exchange • Data Standards embedded in XML Schema • Closely working with State/EPA Data Standards Council for new standard adoptions to incorporate • Machine to machine – no human data entry mistakes • Schematron verifies business rules for exchange – more validation • More data can be exchanged among new partners • Infrastructure can be applied to new data exchange types • New State to state exchanges already occurring • More timely data • Data can be published and exchanged as soon as partners agree. Machines do the work!
Reflections and Learning • No longer dependent upon making sure systems can talk – web services are interoperable • Provides an infrastructure and mechanism to support new data flows between existing and new partners! • Publishing data in a secure place on the Exchange Network has proven far easier and sets a new paradigm for future data exchanges