Align, Common Education Data Standards
The Align tool enables aligning or mapping your data dictionary (element names, definitions, and option sets) to CEDS. The alignment creates a map that can be used to see how your data dictionary aligns with the CEDS standard, or with others in the field. The reports can also help you identify where data elements are missing, or where duplicate collection efforts are occurring.

Connect, Common Education Data Standards
The Connect tool allows defining and analyzing data used for reporting and is an excellent tool for deconstructing policy or research questions. Connect supports searching through what others have done already within CEDS and includes reports designed to provide you with options for linking CEDS elements across Connections.

Explore, Common Education Data Standards
The Explore tool allows viewing existing Align maps, comparing Align maps, and exploring the impact of elements with Align maps and Connections.

Centering Racial Equity Throughout Data Integration, AISP
The Toolkit for Centering Racial Equity Throughout Data Integration describes positive and problematic practices for centering racial equity across the six stages of the data life cycle. Cross-sector data sharing and integration transform information about individuals into actionable intelligence that can be used to understand community needs, improve services, and build stronger communities. Yet, the use of cross-sector data can also reinforce legacies of racist policies and produce inequitable resource allocation, access, and outcomes. Since 2019, AISP has led a diverse workgroup of civic data stakeholders to co-create strategies and identify best practices to center racial equity in data integration efforts.

DaSy Data Governance Toolkit
The DaSy Data Governance Toolkit contains information, guidance, and templates to assist IDEA Part C and Part B 619 program staff with creating or enhancing their data governance policies and procedures. The DaSy Data Governance Toolkit focuses on the following policy areas: data breach response, data quality, data security and access, data systems changes, public reporting, electronic communications, data requests, and data retention and destruction. Within each area, DaSy provides an overview, , consideration questions, and a fillable Microsoft Word policy template.

DaSy Data System Framework
The DaSy Data System Framework (Updated 2022) is the Data Systems Component of the larger ECTA System Framework for Part C & Section 619. The purpose of the DaSy framework is to assist Part C and Part B 619 programs in developing and enhancing high-quality state data systems and in improving the quality of their IDEA data.

Data Integration Toolkit, CIDD
The CIID Data Integration Toolkit is designed to support state education agency efforts to integrate IDEA data with their statewide longitudinal data systems. This toolkit outlines the major steps and supporting tasks required to complete any data integration process. It includes specific activities and resources to support integration including checklists, templates, sample process documents, and state examples.

Data Linkages Between Part C and Part B – Transition Notification
This spotlight describes how Kansas and Wisconsin implemented changes to their data systems and program practices to meet the 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.

FERPA 201: Data Sharing under FERPA
This online training course was developed by PTAC and the U.S. Department of Education to cover the basics of data sharing under the Family Educational Rights and Privacy Act (FERPA), with a focus on the FERPA exceptions under which data may be shared and covering expectations regarding security and privacy of education data. (Course duration: 30–40 minutes.)

Introduction to Data Sharing & Integration, AISP
This Introduction to Data Sharing & Integration is a primer on the basics of using, sharing, and integrating administrative data. Administrative data are data collected during the routine process of administering programs. This resource is designed to help partnerships, collaboratives, agencies, and community initiatives enter that process of repurposing administrative data thoughtfully and of building the capacity to do so routinely with strong governance in place.

Part C Data Processes Toolkit
The Part C Data Processes Toolkit contains customizable data collection protocols to document data processes for the lead agency. Using this toolkit to create protocols for all data collections will establish a well-managed process for data collection, analysis, and reporting.

Five Considerations for Potential Data Linking Partners
Part C and Part B 619 program personnel have many opportunities to link data with partner programs. Data linking partnerships can yield significant benefits, such as administrative efficiencies and access to additional data to answer policy questions and inform program improvement. This document provides data partners with the necessary content to discuss, understand, and hopefully agree to data linking. The content supports partners thorough exploration to establish points of agreement and discover potential barriers that need to be addressed.

Look! Think! Act! Using Data for Program Improvement
Look! Think! Act! is a process for using early childhood special education data to make decisions, a process used every single day. This is an interactive product designed to help staff realize a greater return on the data investment already made. Look! Think! Act! provides structure for examining, reflecting, and acting on data to make organizational and program decisions.

New Tool to Assess Survey Data for Racial Bias, Chapin Hall, University of Chicago
Chapin Hall developed the Racial Bias in Data Assessment Tool to assess survey data sets for racial and ethnic bias. This tool provides a clear, systematic method for researchers to determine whether survey data they plan to analyze were collected with a racial equity lens or not. Using the Racial Bias in Data Assessment Tool could lead to less racially biased research.

North Carolina Department of Health and Human Services Data Sharing Guidebook
This guidebook, developed by the North Carolina Department of Health and Human Services (NCDHHS), supports data sharing efforts by:

• Establishing clear pathways for data sharing and integration, for requestors and data owners,
• Establishing a common legal framework for data sharing and integration across NCDHHS,
• Supporting data use that leads to improved data quality, insights, and improvements, and
• Clarifying processes to reduce burden on staff requesting and granting access to data, increase efficiencies, and ensure privacy and security safeguards.