1. Data Integration Progress

2. BIRN Data Integration Framework 2. Create conceptual links to a shared ontology 1. Create multimodal databases 3. Situate the data in a common spatial framework 4. Use mediator to navigate and query across data sources

3. Data Integration Deployment & Utilization Significant events in last year related to BIRN data integration progress –Test bed database availability –BIRNLex and BIRN ontology development –Hardening of data integration environment Enhanced production deployment of BIRN Data Integration Environment as part of BIRN 3.0 release –Enhancements driven by distributed queries against BIRN data sources –Significant performance improvements Deployment in the BIRN test beds –Mouse BIRN - Utilization within atlasing environment (i.e. MBAT and SmartAtlas) –Function BIRN - Queries across fBIRN HID databases, addition of BrainMap

4. BIRN CC – Test Bed Data Integration Deployment Function BIRN –Vadim Astakhov, David Little, Edward Ross, Daniel Wei, Vicky Rowley, David Keator (fBIRN/UCI), Dingying Wei (fBIRN/UCI), Burak Ozyurt (fBIRN/UCSD), Angie Laird/Angela Uecker (BrainMap) Mouse BIRN –Vadim Astakhov, Brian Sanders, Daniel Wei, Steve Anderson (Mouse BIRN/UCLA), Bill Bug (Mouse BIRN/Drexel), Asif Memon (Mouse BIRN/UCSD), Heng Yuan (Mouse BIRN/UCLA) Morphometry BIRN –Vadim Astakhov, David Little, Daniel Wei, Dan Marcus (Morphometry BIRN/WUSTL)

5. Data Integration Utilization With BIRN 3.0 release, have begun tracking utilization of data integration environment In first month of tracking - more than 2,000 queries were issued

6. Data Integration Sources Data integration team has worked closely with test beds to register databases from testbeds Registration of external data sources (e.g. BrainMap) Driven by test bed requirements

7. Access to Data Integration Environment Tool Developers Data Integration Specialists Domain Scientists Web Services Data Integration Tools Concept Based Visual Query Environment

8. Data Integration Services Data Integration Environment accessible through web service interface Driven by requirements and direct interaction with test beds Utilization in Mouse BIRN Atlas Environments (e.g. MBAT) Services being deployed for Human Imaging Database

9. BIRN Data Integration Tools Three core data integration tools hardened and made available through the BIRN Portal Database Registration Integrated View Construction Query Development and Execution

10. Concept Based User Interface Has been developed based on feedback from community at Ontology boot-camp and test bed AHMs Provides access to BIRN ontological sources Allows for the construction of queries based on familiar concepts - architecture handles the generation of integrated vies

11. Evolution of the BIRN Data Integration Environment BIRN mediator has evolved significantly in response to emerging technologies and user requirements/preferences –Two development streams: mediator and source database Initially our only way of querying integrated data was based on a query form –Downside: users had to know the integrated schema –Upside: Many really complex queries can be formulated Users wanted –A simple keyword style query interface –An ontology augmented keyword style query interface Extension Developed –Created a new mechanism to accept a set of keywords –Automatically construct an integrated query –Provide users choices of the results they want back 199920042006