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Data Accountability in Education: Key Insights from the February 2010 Conference

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xanthus
20 diapositives · 382 Views · Oct 23, 2012

The February 17, 2010, conference on Data Management and Accountability brought together experts including Traci Blount, Kayla Mathis, Karl Pond, and Gary Williamson to discuss the intricacies of Local Education Agency (LEA) and school data management. Topics included federal and state reporting requirements, the importance of unique identifiers for students and staff, and strategies for ensuring data quality and security. The event aimed to foster a comprehensive understanding of educational data systems like EDEN and SLDS, ultimately enhancing the quality and accuracy of educational data across North Carolina.

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  1. Data Management Accountability Conference February 17, 2010 Traci Blount, Section Chief, Web Services & Publications Kayla Mathis, Policy and Planning Analyst Karl Pond, Enterprise Data Manager Gary Williamson, Director of Accountability Operations

  2. What happens to LEA and School Data? Federal Reporting by Program State Reporting (SBE) Ad Hoc Reports and Request Limited Analysis Program Staff Finance Student

  3. CCD – Common Core of Data EDEN – Educational Data Exchange Network CSPR – Consolidated State Performance Report (NCLB) OSEP SPP (APR) – Office of Special Education Programs State Performance Plan (Annual Performance Report) (NCLB)

  4. CEDARS - NC Common Education Data Analysis and Reporting System SIF – Schools Interoperability Framework MDM – Master Data Management School Report Card UID- Unique Identifier for Students and Staff

  5. NC Common Education Data Analysis and Reporting System (CEDARS)

  6. CEDARS Components ABC Data Transfer Data Repositories Unique ID System (UID) Data Access Ensures that relevant source systems have properly matched students and staff with unique IDs Standard reports LEAs, schools Source Systems LDS Query tools Financial systems Federal submissions (e.g. EDEN) Data marts Teacher licensure (LIC/SAL) State, federal Other access, (e.g. online portal) Program information (CECAS, Title I, etc.) School data managers • Matches based on UID • Checks to ensure quality • Common location for data access (‘info library’) • Different views based on type of user • “Data Dictionary” Student information (NCWISE) • Stores data over time • Organized into domains based on type of data ABC Teachers Testing Data (Assessment) Students

  7. Master Data Management Common Standards Common Definitions One Authoritative Source Data Quality

  8. Objectives Reduction of Effort for Schools/LEAs/SEA Higher Quality Data More Accurate Data Timely Data Consistent Data Definitions

  9. State Longitudinal Data System (SLDS): A data governance mechanism that ensures enterprise-wide coordination (including master data management) of data collection, management, and use

  10. State Longitudinal Data System (SLDS): A statewide unique ID (UID) system for students and staff that enables linking of different types of data across collections and over time A longitudinal data store (LDS), along with analytical tools and reports, that enables analysis of trends and relationships

  11. Data Management Group (DMG)

  12. What is the DMG? Official NCDPI oversight body for data Charged with responsibility for and authority to set policy and resolve issues concerning data collection, management and use (See DMG Governance)

  13. Purpose of DMG Enables the NCDPI to meet the responsibility of providing accurate and timely data Approves data collections Coordinates conflicting data collections Supports the agency objective of having authoritative data collection systems Establishes comprehensive, enterprise data management guidelines, standards, and policies

  14. Group Diverse Representation Facilitated and coordinated by Karl Pond, Enterprise Data Manager, and other NCDPI Policy & Strategic Planning (PSP) Division staff (Tom Field, Kayla Mathis, Lauren Furer, Patrick Dougherty) Members include:

  15. DMG Policies Approved policies fall within the following categories: Data Quality Data Security Communication Information and Needs Analysis Research Facilitation

  16. Data Quality Policies DMG-2008-001-DQ: Authoritative Data Elements DMG-2008-002-DQ: Conducting Data Audits DMG-2008-003-DQ: Data Audit/Data Profiling DMG-2008-004-DQ: Data Validation Process DMG-2008-005-DQ: Implementing the Data Validation Process DMG-2009-001-DQ: New Data Elements or Changes to Existing Data Elements DMG-2009-002-DQ: Metadata Repository DMG-2009-003-DQ: Master Data Calendar

  17. Research Facilitation Policies DMG-2009-001-RR: Sharing Data with Researchers Memorandum of Agreement Template DMG-2009-002-RR: Requests for Personally Identifiable Information DMG-2009-003-RR: Employees Working with Data Employee Confidentiality Agreement

  18. Planned InitiativesData Manager Certification Program Currently in the Discussion/Development Stage Different Levels of Certification based on Roles and Responsibilities Will bring a more consistent approach to data submissions to the SEA level Increase the Quality of Data submitted

  19. DMG Website Location Click the Data & Statistics link on agency home page Or http://www.ncpublicschools.org/data/management/

  20. Questions and Answers