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In this paper, we seek to deepen discourse on health data governance beyond the well-known and important issues of privacy and data security to consider what types of value are potentially afforded by personal health information (PHI) data and, importantly, whose values and interests shape governance structures and goals toward realizing value. We conducted a discourse analysis of texts addressing PHI data use and governance. Through analysis of a broad array of documents and using qualitative analysis and guided text mining, we identified six overlapping, but distinctive, models for PHI governance. Each model presents an array of stakeholders, value to be realized from analysis, assumed stewardship roles, and governance structures and goals. This analysis extends consideration of widely shared governance goals, highlighting possible issues and conflicts among actors’ values and interests, particularly when data “slip” between governing models. We consider policy implications and areas of future research from this analysis.

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Aug 10th, 12:00 AM

Investigating Values in Personal Health Data Governance Models

In this paper, we seek to deepen discourse on health data governance beyond the well-known and important issues of privacy and data security to consider what types of value are potentially afforded by personal health information (PHI) data and, importantly, whose values and interests shape governance structures and goals toward realizing value. We conducted a discourse analysis of texts addressing PHI data use and governance. Through analysis of a broad array of documents and using qualitative analysis and guided text mining, we identified six overlapping, but distinctive, models for PHI governance. Each model presents an array of stakeholders, value to be realized from analysis, assumed stewardship roles, and governance structures and goals. This analysis extends consideration of widely shared governance goals, highlighting possible issues and conflicts among actors’ values and interests, particularly when data “slip” between governing models. We consider policy implications and areas of future research from this analysis.