2012 AACRAO Transfer Conference July 2, 2012

1. What Does This Initiative Mean For Me? 2012 AACRAO Transfer Conference July 2, 2012 Hans Peter L’Orange – State Higher Education Executive Officers (SHEEO)

2. Key Questions and Topics • What are common education data standards and why do we need CEDS? • Developing CEDS: Who & How? • How might CEDS be used and what does it provide? • What might this mean for AACRAO members?

3. Common Standards What are we talking about?

4. A language is a standardform of communication. Humans speak many different languages. But, there are certain things we allneed to understandandcommunicate. For these, we need a common language.

5. FOR EXAMPLE: Sign symbols Imagine... You arrive at an airportin a foreign city where an unfamiliar language is spoken.

6. How do you find your way? Universal travel sign symbols. Developed in late 1970s to aid wayfinding. http://www.flickr.com/photos/japanesepod101/3974042578 http://www.flickr.com/photos/japanesepod101/3974018590

7. An Introduction to CEDS and an Update

8. Data standard: an agreed upon set of data names, definitions, options & technical specs Education institutions across P-20usemanydifferent data standards. But, there are certain data we allneed to understand,compare & exchange. For these, we need a common education data standard.

9. FOR EXAMPLE: Demographic data Imagine... A studentfrom a high school in State Aenrolls in auniversity in State B that uses a different education data standard.

10. Here’s a new student: Jonatha TsumuraII Race = Japanese Gender = M Hmmm… Did you mean: Jonathan ? Tsumura ? Suffix = II ? Race = Asian ? Sex = M ? High School in state A College in state B http://www.flickr.com/photos/squirmelia/247620009 http://www.flickr.com/photos/lmbernhardt71/5628965373

11. The PINT is: The P-20 community needs a COMMON VOCABULARY for education data.

12. What is CEDS? • A national collaborative effort to develop voluntary, commondata standards for a key set of education data elements • A vocabularyincluding standard definitions, option sets & technical specifications to streamline sharing and comparing Voluntary Common Vocabulary

13. Why do we need CEDS? Accurate, timely, and consistent data to inform decisionmaking Share & compare high quality data within & across P-20 sectors • Increase students’ confidence • in the quality of their data • as they move with those data

14. is Not: CEDS Required All or nothing A data collection An implementation Solely an ED undertaking A federal unit record system

15. CEDS: Developing the Standards

16. How does it get done? • Assemble stakeholders representing the field • Use existing sources of data standards • Check alignment with the field • Review ideas with the public • Model the elements • Place into tools • Release in versions

17. CEDS v2 Stakeholders (1 of 2) • State Agencies • State Education Agencies • State Higher Education Agencies • Social Services Agencies • Local Education Agencies • K12 • Head Start • Social Services • Institutions of Higher Education • Public • Private • Community Colleges

18. CEDS v2 Stakeholders (2 of 2) • U.S. Department of Education • NCES (SLDS, IPEDS) • EDFacts • Office of Educ. Technology • U.S. Health and Human Services • U.S. Department of Labor • Interoperability Standards Organizations • Education Associations • Foundations • Financial Student Aid • Office of the Undersecretary • Special Education

19. CEDS v2 Postsecondary Stakeholders

20. Version 3 Development Stakeholder Group Meetings; Development July─August 2012 Development & Working Meetings February─June 2012 Evaluation & Planning February 2012

21. Version 3 Development (continued) Release FINAL Version 3 standard January 2013 Release Draft Version 3 for Public Review September 2012 Stakeholder Group meetings; development Oct─Dec 2012

22. Tools for Using CEDS

23. CEDS provides: • Powerful Stakeholder Tools & Models • Align Tool • Logical Data Model • A Robust & Expanding Common, Voluntary Vocabulary drawn from existing sources

27. Standard Information: The Basics Element Definition Hispanic or Latino Ethnicity Option set Yes No NotSelected Domain Entity Related Use Cases

28. CEDS Logical Data Model Comprised of 2 distinct views: • Domain Entity Schema (DES) • Hierarchy of domains, entities, attribute categories, and attributes organizing and assigning elements to specific entities • Used primarily as an index to search, map, and organize elements • Normalized Data Schema (NDS) • Provides standard framework for integration of P-20 data systems through a well-normalized “operational data store” • Factors the entities and attributes of the DES with standard technical syntax and 3rd normal form

29. CEDS Align Tool Web-based tool that allows users to: • Import or input their data dictionaries • Aligntheir data to CEDS • Comparethemselves with others • Analyzetheir data in relation to various other CEDS-aligned efforts

31. CEDS Connect Tool Builds on the CEDS Align tool and allows stakeholders to: • Generate specific and relevant maps to a growing pool of CEDS connections

32. X

33. CEDS Use Case Generator Tool Builds on the CEDS Alignment Tool and allows stakeholders to: • Generate specificandrelevantmaps to a growing pool of CEDS aligned use cases

35. CEDS Implementation

36. Why Implement CEDS? A A CEDS B B C C

37. Linking Current Efforts to CEDS • Federal Reporting (IPEDS) • SLDS and other Student Unit Record Databases • Institution Data Sharing • Metrics Efforts

38. What CEDS May Be Able to Do for Institutions • Improve accuracy of IPEDS reporting • Improve comparability when sharing and comparing data with others (e.g., files to state systems, peer data-sharing, K-12 to your university and back) • Help with development of data definitions and data warehouses within your institution (can reference CEDS to understand official data reported about the institution)

39. IPEDS Application • Being developed to allow institutions to submit IPEDS surveys directly from database based on CEDS standards • Data entered in database from which file will be uploaded to IPEDS collection site • Initially for small institutions and for Enrollment and Completions Surveys but could be expanded

40. Linking Metrics Efforts to CEDS

41. Breaking Down Metrics Metrics Elements Metrics Initiatives Initiatives

42. Finding Similarities & Differences Metrics Elements Metrics Initiatives Initiative 1 Initiative 2

43. Recap

44. America’s education system faces significant challenges Increasing expectations Decreasing resources

45. Answering critical questions requires sharing limited data across transitional boundaries K-12 Early Childhood Workforce Postsecondary What is the graduation rate by high school? Which preschool programs best prepare students for kindergarten? Do high school graduates require postsecondary remediation? What industries are employing high school and college graduates? How successful are college graduates in the workforce by major or credential?

46. Tackling those challenges requires clear, consistent data • Interoperability and portability of data across multiple data systems • Common understanding of what those data mean on both sides of the exchange • Confidence in the comparability of data from different systems Appropriate data must be able to flow efficiently and effectively across data systems

47. When are you going to use all this data you collect on me…..to help me?

48. Standards improve dataCEDS is hereIt’s a group effortIt’s a P-20 effortIt provides data elementsIt’s got a data model It’s got powerful tools

49. is Not: CEDS Required All or nothing A data collection A formal implementation Solely an ED undertaking A federal unit record system

50. For more information visit: http://ceds.ed.gov Hans@sheeo.org 303-541-1600