1. Linking information for better lives in Connecticut
P20 WIN
Linking information for better lives in Connecticut

2. What is P20 WIN? Connecticut’s inter-agency data sharing network
A voluntary collaboration
Able to link data between Connecticut’s education and workforce agencies
For the purpose of improving publically funded education programs
Education programs include preschool through high school, post-secondary, adult education and workforce training.

3. P20 WIN is NOT
Not a data collection
Not a database or data warehouse

4. Purpose: Improve education
P20 WIN will inform sound educational policies and effective program practices through secure sharing of critical longitudinal data across state agencies to ensure that individuals successfully navigate educational pathways into the workforce.

5. Data Security & Privacy
Procedures satisfy state and federal law including the Family Education Rights and Privacy Act (FERPA).
No centralized repository of linked data.
Data are used only for approved data requests.
No identifying information in data set for analysis.
Names, birth dates and SSN’s are NOT available to the analyst.
Only designated Authorized Representatives can conduct analysis.
All data must be aggregated before made public.
All data are destroyed when evaluation is complete.

6. Probabilistic Data Matching Process (wage & employment data)
Data sources
Probabilistic Data Matching Process
DOL)
State Department of Education
(pK-12)
Connecticut State Colleges & Universities
(CSCU)
Department of Labor
(wage & employment data)
Connecticut Independent Colleges & Universities
(CCIC)
University of Connecticut (UCONN)

7. 2 ways to access 1. Data Requestor / Authorized Representative
An individual or agency that conducts an evaluation of publically funded education programs
Request is for individual level data from more than one Participating Agency for analysis
Has research skills and can secure data according to data sharing agreement
2. Data Consumer:
Someone who uses data sets produced through P20 WIN that are publically available

8. 1 – You as a Data Requestor
Steps
Define your evaluation
Visit P20 WIN website:
Read the Data Request Management Procedure DataRequestProcedure-Final_ pdf
Draft a brief proposal
Send proposal to me, Jan Kiehne,

9. 2 – You as a Data Consumer Steps
Visit P20 WIN website:
Visit “Requests & Reports” at
Visit “Charts” at
Read related summary reports and caveats before re- using the data for other purposes.

10. High school graduate outcomes
Post secondary enrollment, remediation & credits attained by CT public high school graduates.
By high school district & individual high schools
Graduation Cohort of 2010 – request 0001
Graduation Cohort of 2011 – request 0007
Not for distribution

11. Postsecondary graduate outcomes
Employment & Wage Outcomes for CSCU – requests 0003, 0006, 0011
For CSCU graduates from through
By institution
By degree level
By education program / 6 digit CIP code
Prior to and after graduation at different points in time
Number of graduates employed
Quarterly wages earned
Change in quarterly wages earned

15. Challenges & Strengths
Not for research in general. Data requests must be for the improvement of publically funded education programs
Use of data requires understanding methodology and context
No repository of linked data
No funding or dedicated staff
Strengths:
Provides ability to securely link unit record data between Participating Agencies.
Legal framework and data agreement templates to speed up documentation process
Vision is to improve education programs and student outcomes for CT students of all ages.

16. Questions? Jan Kiehne P20 WIN Program Manager
Institutional Research Specialist
CT State Colleges & Universities

17. Extra Slides

18. -

19. The Request Document
What do the agencies need to know to provide what you need?
Section 3.e

20. The Data Elements
P20 WIN Data Dictionary
Obtain the template from Jan

21. Components Included: Not Included:
Data Governance Policy: Structure for collaborative decision making and operational management
Data Matching: Probabilistic & deterministic matching Process
Data Sharing Agreements: Suite of data sharing agreements with templates to increase efficiency
Protocol to Expand: Process for engaging new participants
Data Dictionary: Each agencies elements
Data Governance Manual: Includes everything
Cost Sharing Policy: Sets parameters for how costs will be shared by agencies and the state
Not Included:
Centralized data warehouse

22. P20 WIN as a Resource
Wage and employment outcome data for program evaluation
NEASC reporting (Standard 8.3: Job Placement Rates)
Outcome data for grants
Source of data for faculty research that applies to federally funded education programs
Supporting research and evaluation to improve education policy in Connecticut

23. What could P20 WIN address?
To what degree are required HS courses bolstering college and career readiness?
Do Early College programs make a difference in college persistence rates?
Which teacher training programs need to be strengthened and how?
Have programs designed to serve local workforce needs resulted in employment for program completers?
To what degree are liberal arts graduates able to find employment in our region?