Data DiscovHERy Initiative™
Women from underrepresented groups are often not priority considerations in research, clinical studies, data design, analysis, or reporting. The Renewell Foundation leads the Data DiscovHERy Initiative™ to uncover new insights from existing research data where implications for women from underrepresented groups have been overlooked.
The initiative also prioritizes innovation in research study designs to assure representation, diversity, equity, and inclusion of marginalized women in research. The Renewell Foundation is a priority partner for community needs assessment design, research study designs and participant engagement, and health communication assuring data equity for marginalized women.
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01
Increase Access & Eliminate Bias
It is important to provide equal access to data resources, tools, and technologies so that all communities can benefit from data-driven insights and decision-making. This includes addressing disparities in digital access and literacy. Further, identifying and eliminating biases in data collection, analysis, and interpretation to prevent discriminatory outcomes. This involves scrutinizing data sources, methodologies, and algorithms for inherent biases.
02
Representation
An American history of ethical crimes and marginalizing certain racial groups has affected diverse participation in clinical trials. Women from underrepresented groups deserve the benefits of medical and pharmaceutical innovation that clinical studies offer. Achieving representation in clinical studies also involves receiving adequate education and awareness around the risks of clinical trial participation.
Renewell believes all necessary regulatory requirements for responsible conduct of research involving human subjects should be exercised at all times. Participant and patient engagement efforts in clinical studies should reflect principles of inclusive recruiting, cultural and linguistic competence, health literacy, and plain-language communication.
03
Mobilizing Metadata
Metadata – the data categories and labels leveraged for analysis – should be intentional about demographic coding and selected equity-based variables for analysis. This also means study instruments, questions, and guides must effectively reflect these considerations earlier on during study development. Diverse races, ethnicities, ages, and related characteristics should be considered and included in data organizing, collection, and coding procedures.
04
Amplifying Untold Stories
Using data to tell a story offers the chance to humanize sometimes complicated health concepts and systems. Evidence-based programs and strategies are strengthened by quantitative and qualitative data. Data reveals assets, gaps, and needs to propel women’s wellness forward and can be mobilized with stories if appropriate qualitative data is present. Data tells a story and the voices of women from underrepresented groups should be amplified.
Partner with Renewell on Data DiscovHERy™ and inclusion of underrepresented groups in your research. Email programs@renewell.org.
