Structural Racism and Rigorous Models of Social Inequity Proceedings of a Workshop (2022) / Chapter Skim
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3 Moving Forward: Data Infrastructure Needs in Harnessing Data for Research in Structural Racism
3 Moving Forward: Data Infrastructure Needs in Harnessing Data for Research in Structural Racism
Pages 47-58
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From page 47... ...
• A sustainable infrastructure for research on structural racism, health, and aging includes funding for longitudinal design and core support for multiple types of data, multidisciplinary research teams with proven competence and expertise in health equity research, and incentives to focus research frameworks on structural and policy change. (Jennifer Manly)
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From page 48... ...
She underscored the goal to harness data to "ensure that public infrastructure and social systems nurture collective well-being and help create the conditions where everyone has what they need to thrive." For example, Givens and colleagues (2021) highlight the value of critical race praxis, which asks structural racism researchers to consider their research inquiries and applicable disciplinary knowledge in light of the following question: Who decides what matters and what is measurable?
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From page 49... ...
She summarized a review of 27 graphic representations from the population health community published during the 21st century (Givens et al., 2020) : few articulated underlying theories; most were found in publicly available grey literature, but only eight were published in peer-reviewed literature; earlier frameworks were intended to guide policy development or research, and more recent frameworks focused on community practice or research; and more than half acknowledged the existence of inequities in determinants or policies, while half mentioned multiple disparity domains.
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From page 50... ...
Givens outlined next steps for the population health community to better harness data for structural racism research: (1) use collective power and political will to mobilize the full range of data and research tools; (2)
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From page 51... ...
For example, the NLSY effectively links contextual data spatially but lacks the ability to link data in other dimensions -- without school, firm, health care provider, and law enforcement agency IDs, important institutions where structural racism could vary are not considered. Inter generational data are also limited in the NLSY.
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From page 52... ...
STRENGTHENING INFRASTRUCTURE FOR RESEARCH ON STRUCTURAL RACISM AND AGING Jennifer Manly (workshop planning committee member and profes sor of neuropsychology at Columbia University) emphasized that because racism is a "fundamental cause of disease and death" and understand ing racism is key to eliminating health inequities, the investigation of the systems that cause harm through structural racism is within the purview of the National Institutes of Health (NIH)
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From page 53... ...
She also suggested that funding not be awarded to teams unwilling to engage with communities. As an example of a suc cessful research project that included interdisciplinary teams and engaged communities in structural racism research, she described the Investment in Communities Offspring Study, to which a social work team was built in to the funded staff to help research participants navigate community resources related to housing, food assistance, and mental health services.
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From page 54... ...
pur sues health equity and justice for every individual, family, and community in Minnesota and beyond. It works to identify, understand, and dismantle structural racism through multidisciplinary antiracist and collaborative research, education and training, authentic community engagement, and narrative change, as well as by serving as a trusted resource for members of the public health and policy communities.
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From page 55... ...
Moving forward, Hardeman continued, incorporating and leading with community voices can inform the development of a data infra structure for structural racism measurement. Accordingly, CARHE has an objective to build a nationally, publicly available data repository that could be used by researchers, community members, and policy makers to understand how structural racism is operating and its impact on population health and well-being -- The MeasuringRacism Data Portal® (Figure 3-1)
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From page 56... ...
Hicken also identified an overarching theme of the workshop: research teams comprised of scholars with diverse experiences are best suited to understand the drivers of structural racism. She advocated for scholars trained in population health, and thus who are relatively new to this research, to look beyond the scholarship in their own field -- humanists, humanistic social scientists, and artists have been studying racism for cen turies.
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From page 57... ...
As an example of creative data linkage, he referenced Lisa Cook's scholarship on the timing and spatial variation in locations of Civil War Confederate statues as a measure of structural racism and its effects on socioeconomic outcomes. Another participant asked how best to incentivize data sharing.
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