National Institutes of Health U.S. Department of Health and Human Services Scale, Diversity, and Complexity: Tackling Data Challenges in the Superfund.

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Presentation transcript:

National Institutes of Health U.S. Department of Health and Human Services Scale, Diversity, and Complexity: Tackling Data Challenges in the Superfund Research Program William A. Suk, Ph.D., M.P.H. Director, Superfund Research Program Director, Center for Risk and Integrated Sciences Division of Extramural Research and Training National Institute of Environmental Health Sciences

National Institutes of Health U.S. Department of Health and Human Services Methods and technologies to detect hazardous substances in the environment Advanced techniques for the detection, assessment, and evaluation of the effects on human health of hazardous substances Methods to assess the risks to human health presented by hazardous substances Basic biological, chemical, and physical methods to reduce the amount and toxicity of hazardous substances Primary Objectives - SRP Mandates Supported by the National Institute of Environmental Health Science, the Superfund Research Program (SRP) funds research related to the development of:

Research Translation Health Effects Epidemiology Mechanistic Toxicology Fate and Transport Ecology Studies Remediation Unifying Theme Unifying Theme Multidisciplinary research addressing broad, complex issues related to hazardous substance exposure Community Outreach Training

A diversity of research A diversity of data Opportunity for data integration and data sharing Opportunity to take advantage of new resources and broaden data available to researchers

National Institutes of Health U.S. Department of Health and Human Services Biological response data Exposure data Fate and transport data Sustainable remediation data Epidemiology data Enhance the knowledge base Reducing the burden of disease Enhancing environmental health solutions through data integration

Putting the pieces together How can the diverse science within SRP be used together and shared? How do we enable projects to share data with other projects and Centers? How do we make this data available and more useable? How do we encourage researchers to leverage existing data?

National Institutes of Health U.S. Department of Health and Human Services First steps: Integrating data from multidisciplinary research – across multiple platforms InventoryRepository Useable Knowledge Architecture Image Source: University of Washington International Doctoral Education Research Network (IDERN)

Infographic Source: IBM