2013 MIS Conference 1 F EDERATED AND C ENTRALIZED M ODELS Wednesday, February 13, 2013 Facilitator: Jeff Sellers (SST) Panelists: Charles McGrew, Kentucky.

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Presentation transcript:

2013 MIS Conference 1 F EDERATED AND C ENTRALIZED M ODELS Wednesday, February 13, 2013 Facilitator: Jeff Sellers (SST) Panelists: Charles McGrew, Kentucky P-20 Data Collaborative Mimmo Parisi, National Strategic Planning & Analysis Research Center (nSPARC) Neal Gibson, Arkansas Research Center Aaron Schroeder, Virginia Tech

2013 MIS Conference ARKANSAS 2

2013 MIS Conference Arkansas Research Center A RKANSAS 3

2013 MIS Conference Knowledge Base Approach: All known representations are stored to facilitate matching in the future and possibly resolve past matching errors. A RKANSAS 4

2013 MIS Conference L INKING E DUCATION AND W ORKFORCE D ATA : A RKANSAS 5 Identity Resolution De-identified Research Data TIM Identity Data Only TrustED KIM Identity Resolution De-identified Research Data Research Data Only Knowledgebase Identity Management TrustEd Identifier Management Research Databases

2013 MIS Conference MISSISSIPPI 6

 Background In the making since 1999 Culture of Cooperation Memoranda of Understanding Executive Order Legislation Branding and Marketing  Model: Design & Infrastructure Centralized Data Clearinghouse Independent 3 rd Party (university-based research center) State Information Technology Services  Data Access Front Door – One-Stop Portal Back Door – Specialized research for policy questions

2013 MIS Conference KENTUCKY 9

Kentucky Center for Education & Workforce Statistics (KCEWS) Background 2006 High School Feedback Reports 2007 Kentucky P-20 Working Group 2009Kentucky P-20 Data Collaborative and P20 SLDS Grant 2012Kentucky Center for Education & Workforce Statistics, a state funded office of the Education & Workforce Development Cabinet and 2 nd SLDS grant for P20 KCEWS Primary Roles and Responsibilities Collect and link data Develop statewide education and workforce metrics Conduct research to support policy making Ensure compliance with privacy and other laws

Kentucky Center for Education & Workforce Statistics (KCEWS) CPE Postsecondary CPE Postsecondary CPE Adult Education CPE Adult Education KDE K-12 Students KDE K-12 Students EPSB Teacher Cert. EPSB Teacher Cert. 24/7 Secure Data Collection, Processing, and Matching 24/7 Secure Data Collection, Processing, and Matching De-Identified (desensitized) Files and Reporting System De-Identified (desensitized) Files and Reporting System Data SourcesData Users Agencies State Public Reports via Web Portal Reports via Web Portal Others Early Childhood Workforce Proprietary Colleges Others Early Childhood Workforce Proprietary Colleges KCEWS

Kentucky Center for Education & Workforce Statistics (KCEWS) Why choose a centralized model? 1.Better data matching and de-identification than agencies independently do which improves over time as incomplete data can be filled in. 2.Provide a state-level perspective instead of a single agency perspective and ability to address issues agencies which are outside agency scopes or politically sensitive. 3.Lower overall costs by centralizing tools and analysis resources that can be used by all the participating agencies providing a stable platform despite changes within agency infrastructures, and create an infrastructure in which other data warehouses can be built. 4.Easier to get support with one budget request. 5.Less confusing information by coordinating efforts and state metrics. 6.Politically stronger by being insulated from individual sectors and more stable because of distributed governance.

2013 MIS Conference Contact information: Charles Aaron Neal Gibson, Mimmo Jeff Sellers, Resources: C ONTACTS AND A DDITIONAL R ESOURCES 13