possible using a single source. Better understanding of these experiences then allows for specializedpolicy and program interventions and supports.Intersectionality refers to the interconnected identities of an individual—including race,gender identity, nationality, sexual orientation, and disability. Collecting demographic datato better understand disparate impact based upon intersectionality can be an importantstep toward equity.—Kimberlé Williams Crenshaw13An equity lens considers these advantages and vulnerabilities in the data collection and reuseprocess and how they can be weighed or contextualized appropriately in response. The Work inAction examples below highlight different strategies for centering equity when designing andimplementing primary data collection. These strategies range from oversampling populations thatare often overlooked because they are small in numbers (see Albuquerque Area Southwest TribalEpidemiology Center), to enlisting community partners to redesign survey instruments (see Oregon),to changing the standards on what is collected (see Allegheny County and Connecticut), to digitizingand cataloging records to provide public access (see Mapping Racist Covenants). The practicesbelow highlight different strategies for collecting data with equity centered.Positive and Problematic Practices: Data CollectionPOSITIVE PRACTICEPROBLEMATIC PRACTICEDesigning 昀氀exible data systems that can supportshifts in data collection and data managementneeds over time, and consulting the governancestructure as updates are made.Changing data collection practices withoutdocumenting and considering the impact onlongitudinal analyses.Protecting data and ensuring data are madeaccessible for approved uses by creating clearcontracts and agreements with technologyproviders.Storing data in systems where cost (昀椀nancial,technical, contractual, or otherwise) impedes theability to adapt data collection practices, accessthe data, or migrate data to other platforms (e.g., atech provider charging for an export of data).Co-creating a data development agenda withcommunity partners that identi昀椀es what data aremeaningful and will be collected and reused, andfor what purpose.Pursuing data sources that reinforce de昀椀citnarratives, stereotypes, or biases rather thaninforming meaningful policy and practice change.CENTERING RACIAL EQUITY THROUGHOUT THE DATA LIFE CYCLE“Intersectionality is simply a prism to see the interactive effects of variousforms of discrimination and disempowerment. It looks at the way that racism, many times,interacts with patriarchy, heterosexism, classism, xenophobia—seeing that the overlappingvulnerabilities created by these systems actually create speci昀椀c kinds of challenges.13 Quoted in Guobadia, O. (2018). Kimberlé Crenshaw and Lady Phyll Talk Intersectionality, Solidarity, and Self-Care. Them.29
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