federated and centralized models
DESCRIPTION
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 - PowerPoint PPT PresentationTRANSCRIPT
2013 MIS Conference 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
2013 MIS Conference
ARKANSAS
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2013 MIS Conference
Arkansas Research Center
ARKANSAS
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2013 MIS Conference
Knowledge Base Approach:All known representations are stored to facilitate matching in the future and possibly resolve past matching errors.
ARKANSAS
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LINKING EDUCATION AND WORKFORCE DATA: ARKANSAS
Identity Resolution
De-identified Research Data
TIM
Identity Data Only
TrustEDKIM
Identity Resolution
De-identified Research Data
Research Data Only
Knowledgebase Identity Management
TrustEd Identifier Management
Research Databases
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MISSISSIPPI
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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
STATEWIDE LONGITUDINAL DATA SYSTEM (SLDS)
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KENTUCKY
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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
Kentucky Center for Education & Workforce Statistics (KCEWS)
CPEPostsecondary
CPEAdult Education
KDEK-12 Students
EPSBTeacher Cert. 24/7 Secure
Data Collection,Processing,
and Matching
De-Identified(desensitized)
Files andReportingSystem
Data Sources Data Users
Agencies
State
PublicReports viaWeb Portal
OthersEarly Childhood
WorkforceProprietary
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.
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Contact information:Charles McGrew, [email protected]
Aaron Schroeder, [email protected]
Neal Gibson, [email protected]
Mimmo Parisi, [email protected]
Jeff Sellers, [email protected]
Resources:http://
nces.ed.gov/programs/slds/pdf/federated_centralized_print.pdf
CONTACTS AND ADDITIONAL RESOURCES
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