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The State Education Agency Workgroup (SEA Workgroup) is an established entity within the Ed-Fi Governance structure and is intended to enhance the SEAs SEA engagement in, input into and use of the Ed-Fi data and technology standards.

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The SEA Workgroup’s main purpose is to represent the perspectives of the SEA community to the Ed-Fi Governance processes with the purpose of addressing the use cases that emerge from the SEA community using the Ed-Fi data model and making the Ed-Fi data and technology standards more widely adopted and used. The SEA -WG may make recommendations through the Ed-Fi Governance processes about investment in the Ed-Fi technology roadmap and business strategies. 

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The goals for the Work Group include:

  1. Prioritization process: Continue the SEA Collaboration Practice for identifying potential Ed-Fi data model and technology enhancements to address the SEA needs and pain points to positively impact student achievement.
  2. Improved interoperability: Enhance the ability to integrate systems like Assessment, Special Education, Early Childhood, etc. and share data in a secure ecosystem.
  3. Synchronize SEA and LEA data requests by reducing reduce variation and by driving drive discussions collaboratively among LEAs, SEAs and SISs using the established approaches and emerging use cases such as learning modality, digital equity, etc.  

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  1. Collect and inventory new SEA use cases. 
    • Work collaboratively to provide the initial content for Ed-Fi data model changes, including suggestions/proposals for the core data model and sharing of state extension models.  
    • Work collaboratively with vendors and local education agencies (LEAs) to enable them to understand the new better dialog around new and emerging use cases and model changes as when it gets fleshed out thus making the Vendor and LEA community to be part of the work. streamlining the work across SEAs, LEAs, and the vendor community.  
    • Encourage and enrich community collaboration through which the data model enhancements and data exchanges are standardized thus reducing the burden on the vendors. 

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