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Selection of a cohort, or Transformation Zone, for SSIP implementation is a principle consideration in developing an action plan. The presentation addresses variables that states should considered in making those decisions and provides information on methods to determine readiness and eliciting involvement of an LEA/EIS.

The presentation presents an overview on developing an infrastructure that supports implementation, scale-up, and sustainability of effective practices and highlights core components of implementation. Highlighted components include: Implementation Stages, Implementation Drivers, Implementation Teams, Usable Interventions, and Improvement Cycles.

This workshop provided a brief overview of the new IDC IDEA Part B 616 Data Processes Toolkit. Several states that have piloted the toolkit shared their experiences with creating data processes for the SPP/APR indicators, building capacity of data stewards, and instilling a culture of high-quality data. Presenters facilitated discussion that helped participants understand the value of data processes documentation and afforded them an opportunity to experience preparing for and beginning this work.

Completing data documentation using IDC’s Part B IDEA Data Processes Toolkit provides many benefits to state agencies. After developing one or more of the protocols, state staff have seen firsthand the benefits of improved understanding of the data and communication about the data processes. This session provided a rationale for ongoing use of the data process protocols and how their use can help build capacity to create a culture of high-quality data at both the SEA and LEA levels.

This workshop provided participants an opportunity to envision and begin development of a comprehensive plan for creating protocols and follow-up activities they may use at both the SEA and LEA levels. Session activities focused on identifying appropriate roles to be represented at the table. They also focused on methods for engaging staff in the work and other critical considerations for implementing and sustaining these foundational data practices.

The IDEA Part B Data Manager Competencies tool outlines foundational knowledge and skills necessary for typical data manager roles and responsibilities. The competencies reflect principles for effective management, support, and use of high-quality IDEA Part B data and fall under one of three overarching categories: content knowledge and skills, technical knowledge and skills, and interpersonal skills.