Tag Archives: Data System Design Development Collection Transmission

State-Researcher Partnerships to Improve Equity in EI/ECSE

November 19, 2020 In this webinar, participants learned about state-researcher partnerships to examine state-level trends regarding service provision to diverse children, as well as the development of policy recommendations that reduce such concerns. Presenters discussed ongoing collaboration between the Oregon Department of Education and researchers at University of Oregon and Oregon Health and Sciences University, […]

Data Governance Toolkit

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DaSy Toolkits » Data Governance Toolkit Overview Introduction Purpose, structure, process Data breach response Data quality Data security & access Data system changes Public reporting Electronic communications Data requests Data retention & destruction Governance of data partnerships Data governance resources The DaSy Data Governance Toolkit is a resource containing information, guidance, and templates to assist Part […]

IFSP Information Toolkit

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DaSy Toolkits » IFSP Information Toolkit Overview Delivered services Electronic signatures Parent portal IFSP transfers Integrated IFSP/COS Dashboards Notification/tickler systems Wizards Why include IFSP information in your state data system? There are many good reasons for a state to consider including IFSP information in its Part C (early intervention) data system. For example, local programs […]

Data Linkages Between Part C and Part B – Transition Notification

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This 2016 state spotlight describes how Kansas and Wisconsin implemented changes to their data systems and program practices to meet new IDEA notification requirements for the transition from Part C to Part B. It also provides implications for other states’ consideration to promote effective and responsive transition for children with disabilities and their families. By […]

Building a Better Data System: What Are Process and Data Models?

This 2016 document provides an overview of process modeling and data modeling and explains the value of each in the development or major enhancement of data systems. Process modeling and data modeling are important activities in data system development and particularly valuable for creating business requirements. By Robin Nelson & Bruce Bull Building a Better […]