Centering Equity

A Toolkit for Centering Racial Equity Throughout Data Integration

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, 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.

Centering racial equity is not a single, discrete step. A 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:

Data Lifecycle

  1. Planning

  2. Data collection

  3. Data access

  4. Use of algorithms and statistical tools

  5. Data analysis

  6. Reporting and dissemination

Work in Action sections throughout the toolkit highlight current site-based examples taking place at each stage.

We are working to create a new kind of data infrastructure— one that dismantles ‘feedback loops of injustice’ and instead shares power and knowledge with those who need systems change the most. Will you join us?

Explore the toolkit