1 / 13

Federated and Centralized Models

Federated and Centralized Models. 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

karif
Download Presentation

Federated and Centralized Models

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Federated and Centralized Models • 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

  2. ARKANSAS

  3. Arkansas Arkansas Research Center

  4. Arkansas Knowledge Base Approach: All known representations are stored to facilitate matching in the future and possibly resolve past matching errors.

  5. Linking Education and Workforce Data: Arkansas Identity Data Only Research Data Only TIM TrustEd Identifier Management KIM TrustED Knowledgebase Identity Management Research Databases Identity Resolution Identity Resolution De-identified Research Data De-identified Research Data

  6. MISSISSIPPI

  7. STATEWIDE LONGITUDINAL DATA SYSTEM (SLDS) • 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 3rd Party (university-based research center) • State Information Technology Services • Data Access • Front Door – One-Stop Portal • Back Door – Specialized research for policy questions

  8. KENTUCKY

  9. Kentucky Center for Education & Workforce Statistics (KCEWS) Background 2006 High School Feedback Reports 2007 Kentucky P-20 Working Group 2009 Kentucky P-20 Data Collaborative and P20 SLDS Grant 2012 Kentucky Center for Education & Workforce Statistics, a state funded office of the Education & Workforce Development Cabinet and 2nd 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

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

  11. Kentucky Center for Education & Workforce Statistics (KCEWS) Why choose a centralized model? Better data matching and de-identification than agencies independently do which improves over time as incomplete data can be filled in. 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. 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. Easier to get support with one budget request. Less confusing information by coordinating efforts and state metrics. Politically stronger by being insulated from individual sectors and more stable because of distributed governance.

  12. Contacts and Additional Resources Contact information: Charles McGrew, Charles.McGrew@ky.gov Aaron Schroeder, aaron.schroeder@vt.edu Neal Gibson, Neal.Gibson@arkansas.gov MimmoParisi,MParisi@nsparc.msstate.edu Jeff Sellers, jeff.sellers@sst-slds.org Resources: http://nces.ed.gov/programs/slds/pdf/federated_centralized_print.pdf

More Related