CITF Emails

This research project addresses a critical evidence gap in the Canadian health system: the organizational and collaborative labor required to share health research data at scale. While technical informatics barriers are often the focus of development, the administrative and governance processes – such as negotiating data sharing agreements and aligning institutional frameworks – remain poorly understood and under-resourced. The study aims to move beyond theoretical models by empirically investigating the actual operations of the COVID-19 Immunity Task Force (CITF) Databank. By examining these coordination efforts, the project seeks to provide actionable recommendations for health system leaders and policymakers responsible for building and sustaining national data sharing capacity.

Research Objectives and Methodology

The project utilizes an explanatory sequential mixed-methods design to investigate the human and organizational determinants of data sharing behaviors. The first phase focuses on characterizing coordination processes through a quantitative analysis of approximately 50,000 emails exchanged between Databank personnel and contributing partners. Using natural language processing and network analysis, the research team will map communication patterns and identify how governance and technical work are distributed across different roles. This is followed by a second phase consisting of semi-structured interviews with principal investigators and data managers to elicit situated perspectives on the specific organizational factors that either facilitated or hindered their participation.

Significance and Knowledge Translation

The significance of this work lies in its potential to improve pandemic preparedness and the overall efficiency of the Canadian health research ecosystem. By documenting how governance processes actually unfolded during a public health emergency, the project provides a grounded perspective on the material needs of stakeholders. Knowledge translation efforts are directed toward health system leaders, research administrators, and international organizations like GA4GH to ensure that the findings inform future management strategies and policy frameworks. Ultimately, the project emphasizes that the primary obstacles to timely health data sharing are not technical, but rather reside in the “invisible labor” of coordination and the complexity of inter-institutional governance.