Our Commitment to Responsible Data Practices
We aspire to present data humbly, recognizing that numbers never tell the whole story. We actively engage with individuals and communities to learn from and share their stories, deepening our collective learning. Knowing that people experience life through multiple layers of identity, which can affect their access to high-quality healthcare, we commit to pairing data with lived experiences to inform policy and drive systems change, thereby improving health and well-being for all while maintaining trust, transparency, and accountability.
We intend to demonstrate ways PHIDH can make the methods we use to analyze data more responsible. The practices below are meant to prompt conversations with colleagues and community members about how we analyze our data, so we are not making these decisions alone. Continued learning and conversations will allow us to continually improve our responsible data practices.
- We recognize that systemic, social, and economic barriers impact health outcomes.
- We acknowledge that health outcomes are worse for communities impacted by societal barriers.
- When we talk about individuals, we use a strengths-based approach; when we talk about variations in health outcomes, we use a systems-level approach. We do this to avoid judgment, blame, or marginalization of individuals or communities.
- We strive to include the lived experience and traditional knowledge of community members in population health analysis, because the community health experience is complex.
- We proactively engage communities to identify gaps and variations in health outcomes, interpret findings, shape our work, and act toward improving health and well-being.
For more details, download our PHIDH Responsible Data Practices guide. This document is meant to be a living document, and as we learn more, it will be updated over time.
