The CIE Data Equity Framework - CIE San Diego

Leveraging Community Information Exchanges for Equitable and Inclusive Data

211/CIE San Diego is pleased to share Leveraging Community Information Exchanges for Equitable and Inclusive Data, a suite of resources that inform early planning and community member engagement efforts for institutions building Community Information Exchanges (CIEs)®. Organizations, communities, and institutions are encouraged to use this resource to initiate and inform conversations around building social and health data systems with an equity and anti-racism lens. 

We’d like to extend a special acknowledgement and thank you to Dr. Rhea Boyd and our colleagues at Health Leads who co-authored the CIE Data Equity Framework, our colleagues and partners who reviewed and provided additional perspectives on all of these resources, and to our CIE Ambassadors for asking critical questions that inspired, challenged, and guided this work. We honor and appreciate the important work done every day to improve the lives of all people and populations.

These resources were produced with funding support from the Robert Wood Johnson FoundationOur grant from RWJF helped to deepen understanding of public health data system issues and to highlight promising practices and case examples of innovation in public health data systems. Click here to learn more. 

Just Released

Leveraging CIE for Public Health Needs and Response explores the current state of public health data infrastructure and how the CIE model can inspire public health to adopt a more community-driven approach to data infrastructure that supports cross-sector information sharing and is truly responsive to community needs. Like many sectors that operate within systems that have perpetuated or exacerbated racial inequities, public health is reckoning with ways to better gather and interpret data to actively address structural barriers to health.
As a counterpart to the CIE Toolkit, A Vision for the Future provides insight on the value of the CIE as an approach to person-centered multisector data sharing, with special focus on the CIE vision, value, and the impact it can have on the health and well-being of individuals and communities. This paper walks through the CIE model, including the tenets that guide the intention of the model, fundamental approaches that drive all aspects of CIE visioning, planning, design, and implementation, and core components that are critical to a CIE’s infrastructure.
The CIE Data Equity Framework was developed to help identify challenges and promote opportunities to build data systems that are not structurally racist, using CIEs as examples. Through encouraging dialogue on the design of data sharing systems that drive change and center the most impacted populations, we intend for the CIE Data Equity Framework to guide institutions away from reinforcing systems that perpetuate harmful practices and towards building anti-racist systems that empower communities. 
The System Design Planning and Reflection Worksheet weaves the concepts presented in the Data Equity Framework into a strategic visioning exercise that guides institutions through the reflective process of building antiracist systems that champion equity.

Community members are the most critical element to the successful design and implementation of a CIE. As we mentor communities across the country working to improve health through local data sharing, we want to highlight organizations at different stages of the design and implementation of a Community Information Exchange (CIE). The CIE Community Profiles provide local approaches for uplifting community members and incorporating Community Voice as a part of striving toward health equity.

Webinar Series: Moving From Antiracism

Intention To Action

The challenges associated with confronting and eliminating structural racism are extensive and require intentional reflection and correction of the processes and systems that harm communities. Produced in collaboration with Health Leads, this webinar series focused on the CIE Data Equity Framework, a tool that can be used to guide institutions and individuals toward creating more equitable and inclusive systems that support overall well-being and positive health outcomes for their communities.