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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2013 MIS Conference 5

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

2013 MIS Conference

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)

https://sldsdemo.nsparc.msstate.edu/SitePages/Home.aspx

2013 MIS Conference

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.

2013 MIS Conference

Contact information:Charles McGrew, Charles.McGrew@ky.gov

Aaron Schroeder, aaron.schroeder@vt.edu

Neal Gibson, Neal.Gibson@arkansas.gov

Mimmo Parisi, MParisi@nsparc.msstate.edu

Jeff Sellers, jeff.sellers@sst-slds.org

Resources:http://

nces.ed.gov/programs/slds/pdf/federated_centralized_print.pdf

CONTACTS AND ADDITIONAL RESOURCES

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