Establishing Effective Data Governance

1. Establishing Effective Data Governance Data Quality Council

2. Forum Guide to Building a Culture of Quality Data

3. Forum Curriculum For Improving Education Data

4. Ordering Books • Building a Culture of Quality Data http://nces.ed.gov/pubsearch/pubsinfo.asp?pubid=2005801 • Curriculum for Improving Education Data http://nces.ed.gov/pubsearch/pubsinfo.asp?pubid=2007808

5. Components of Quality Data • Accuracy • Timeliness • Security • Utility

6. Impact of Quality Data • More effective decision making • Achieving AYP • Program Funding • Educator Effectiveness • School Performance Profile • Reduced time on PIMS

7. Factors Affecting Data Quality • Policies and Regulations • Standards and Guidelines • Training and Professional Development • Data Entry Environment • Technology • Timelines and Calendars

8. Data Governance • Policies and Regulations • Standards and Guidelines • Training and Professional Development • Data Entry Environment • Technology • Timelines and Calendars

9. Keys to Good Data Governance • Planning • Communication • Patience

10. Who Has a Role in Data Governance? • Superintendent • Teachers • Principals • Coordinators/Supervisors • Central and Building Office Staff • Technology Staff • Board Members

11. Identifying the DQ Team

12. Identifying the DQ Team • In each row, name person responsible for each role • May be same person in multiple cells, an entire row, an entire column • Should end up with multiple names in table • Work individually or as district team • 15 minutes

13. Factors Affecting Data Quality • Policies and Regulations • Standards and Guidelines • Training and Professional Development • Data Entry Environment • Technology • Timelines and Calendars

14. Data Cycle • Data event • Entering data • Data output/reports • Correcting data • Submitting data to decision makers/PIMS • Repeat

15. Data Cycle

16. Developing a Data Calendar • Work backwards from decision, publication, submission, and other deadlines • Understand the processes of data creation, collection, assessment, and correction • May have different deadlines, therefore calendars, for different buildings

17. PIMS Data Submission Planning

18. PIMS Data Submission Planning • Start with the Submission Deadline column • Work backwards, allowing a realistic amount of time for each step • This is draft: can only finalize in collaboration with people identified in the DQ team activity • Work as district team • 15 minutes

19. Planning for Curricular Decision making • Work backwards from deadlines for decisions • Allow time for data inspection, correcting • Allow time for internal processes • May involve different people than PIMS process • Ultimately combine with PIMS data calendar • Work on this in district with entire team – a way to begin professional development

20. Planning for Curricular Decisionmaking

21. Break