Hans P. L’Orange Vice President for Research and Information Resources

1. Statewide, Integrated, Longitudinal Education Data SystemsState Higher Education Executive Officers Policy ConferenceDenver, ColoradoAugust 12, 2009 Hans P. L’Orange Vice President for Research and Information Resources State Higher Education Executive Officers Boulder, CO 80301 hlorange@sheeo.org Jay J. Pfeiffer, Senior Associate MPR Associates, Inc. 2150 Shattuck Avenue, Suite 800 Berkeley, CA 94704 jpfeiffer@mprinc.com

2. CHOICE Schools Integrated State Longitudinal Education Data Systems? Pre K Evals Pre- K Students Public School Finance FRL K12 Facilities IDEA K12 Staff NCLB Assessments Dropout Prevent Migrants K-12 Students In -School Employment Comm Coll Finance ESL Work Keys, PLAN, ACT Post School Employment Community College Staff CTE Students Community College Students AP, PSAT, SAT Adult Ed Students Others I couldn’t think of University Students College Placement Test University Staff Comm Coll Facilities Student Financial Aid University Facilities University Finance

3. Demography Educational Awards Educational Institution Educational Staff Financial Aid Student Student Employment Courses Grades, Standardized Test Scores Integrating Data around Individual Students

4. A Central Warehouse Model Reports PK- 12 “Permanent” Repository or Process Applications Adult Education Agencies Community Colleges Temporary Repository Universities Restricted Access

5. Interagency Data Sharing: Simple Model File Linked on SSNs; limited edits; no storage Reports Excel DB

6. Integrated Data Sharing Approach File File DB Edits, formatting, matching Excel File Reports DB DB File

7. Pre Kindergarten Universities Public Schools Central Query Mechanism Community Colleges Financial Aid Career and Technical Education Student Employment Adult Education Other Model Concepts

8. Anonymizing Data in a Data Warehouse Setting

9. Integrated, Longitudinal Education Data Have Many Uses • Administration • Funding distribution and Equity • Performance funding • Access Planning • Class Size Planning • State and Federal Reports • Data Marts/Reports • Program Effectiveness – PK20 • Teacher Preparation, Employment Characteristics & Performance • PK20 Pipeline/Alignment • High School Feed Back • Community College Feedback • Consumer Reports • Research • Teacher Preparation and Development Best Practices • CHOICE Option Evaluations • Return on Investment • Evaluating Key Transitions for all Students • Labor market supply and demand

10. Lessons Learned: What works? • Acquire and continuously cultivate leadership support. • Clearly outline the goals & purposes of a state-level education information system – both long and short term, revisit as necessary. • Clearly identify the benefits and risks for everyone involved. • To the extent possible, build on existing systems, expertise.

11. Lessons Learned: What works? • Pursue opportunities to provide service and share information – entrepreneurship and “Quid pro quo…” • Publicize and update products, services, capabilities. • Establish and maintain a culture of data and information integrity. • Exceed all requirements dealing with confidentiality and restricted release; but, do not create unnecessary barriers.

12. Lessons Learned: What works? • Secure ongoing support. • Recognize that change is constant, keep ahead of it. Umbrella Lesson: It’s never over…

13. Florida: The Home of Integrated Performance Bonnie Ivan Jeanne Charley Francis Source: Florida K20 Education Data Warehouse

14. Status of state postsecondary longitudinal systems • 41 of the 50 states have operational SUR databases covering public postsecondary institutions • 9 states without are mostly small - 81% of the nation’s headcount included • Seven have multiple databases (e.g., CA, others have separate 4-year and 2-year) • Most are public only • 17 have some independent data

15. Status of state postsecondary longitudinal systems • Fair amount of historical data – only 8 are less than 10 years old • All have the data needed to complete federal IPEDS reports – enrollment, gender, race/ethnicity, major, degree granted • Require a unique identifier • Many use SSN but this is changing • Individually created unique IDs; how do we track across states? • ½ link to some other databases • 23 to UI wage records • Only 11 have K-12 but substantial interest; 16 have plans • State systems vary in their capacity and comprehensiveness • SHEEO currently updating the NCHEMS study

16. Looking Towards the Future • $245 million in SLDS grants from Institute for Education Sciences (IES). • Awards will range from $2 million to $20 million. • Applications are due by November 19 (and the clock has started). • Applications must come from SEAs and they will be the fiscal agent • BUT…….

17. Looking Towards the Future • Linkages with postsecondary and labor are required! Collaboration must be demonstrated in the proposal. The reviewers will be looking for and expecting to see interoperability and coordination. • http://ww.nces.ed.gov/Programs/SLDS/

18. Closing Thoughts • Data by themselves are not the answer • More policy and cultural issues than technical ones • Privacy must be maintained • Remember “What’s in it for me?” • Develop common approaches that work regardless of who “owns” the data. • Develop approaches in an open and transparent environment.