NIH is committed to advancing research and its data science efforts to end the COVID-19 pandemic. As part of the larger NIH COVID-19 response, NIH leadership is designing a COVID-19 Clinical Data Hub – a loosely federated system, built by researchers for researchers, to quickly make available the data necessary to address pressing COVID-19 research questions.
The primary goals of this workshop are to:
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Review existing platforms within the NIH and how they approach COVID-19 use cases.
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Discuss the challenges and approaches to data harmonization, data source linkage, private/public data, and social determinants of health.
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Understand the challenges and approaches to data tracing, appropriate representation, and avoiding selection bias.
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Consider governance, internal review boards, data access committees, eligibility, and confidentiality in data use.
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Understand the global and societal impact of COVID-19 research.
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Develop an approach to data ingestion and harmonization that will position the NIH for success against the COVID-19 pandemic.
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