AbstractThe National Institute of Environmental Health Sciences (NIEHS) Superfund Basic Research and Training Program (SRP) funds a wide range of projects that span biomedical, environmental sciences, and engineering research and generate a wealth of data resulting from hypothesis-driven research projects. Combining or integrating these diverse data offers an opportunity to uncover new scientific connections that can be used to gain a more comprehensive understanding of the interplay between exposures and health. Integrating and reusing data generated from individual research projects within the program requires harmonization of data workflows, ensuring consistent and robust practices in data stewardship, and embracing data sharing from the onset of data collection and analysis. We describe opportunities to leverage data within the SRP and current SRP efforts to advance data sharing and reuse, including by developing an SRP dataset library and fostering data integration through Data Management and Analysis Cores. We also discuss opportunities to improve public health by identifying parallels in the data captured from health and engineering research, layering data streams for a more comprehensive picture of exposures and disease, and using existing SRP research infrastructure to facilitate and foster data sharing. Importantly, we point out that while the SRP is in a unique position to exploit these opportunities, they can be employed across environmental health research. SRP research teams, which comprise cross-disciplinary scientists focused on similar research questions, are well positioned to use data to leverage previous findings and accelerate the pace of research. Incorporating data streams from different disciplines addressing similar questions can provide a broader understanding and uncover the answers to complex and discrete research questions.

The National Institute of Environmental Health Sciences Superfund Research Program (SRP) funds diverse transdisciplinary research to understand how hazardous substances contribute to disease. SRP research focuses on how to prevent these exposures by promoting problem-based, solution-oriented research. SRP's mandate areas encompasses broad biomedical and environmental science and engineering research efforts and, when combined with research translation, community engagement, training, and data science, offers broad expertise and unique perspectives directed at a specific big picture question. The purpose of this commentary is to adapt a systems approach concept to SRP research to accommodate the complexity of a scientific problem. The SRP believes a systems approach offers a framework to understand how scientists can work together to integrate diverse fields of research to prevent or understand environmentally-influenced human disease by addressing specific questions that are part of a larger perspective. Specifically, within the context of the SRP, a systems approach can elucidate the complex interactions between factors that contribute to or protect against environmental insults. Leveraging a systems approach can continue to advance SRP science while building the foundation for researchers to address difficult emerging environmental health problems.

Background:The National Institute of Environmental Health Sciences (NIEHS) Superfund Basic Research and Training Program (SRP) funds a wide range of transdisciplinary research projects spanning the biomedical and environmental sciences and engineering, supporting and promoting the application of that research to solving real-world problems.Objectives:We used a case study approach to identify the economic and societal benefits of SRP-funded research, focusing on the use of potentially hazardous substance remediation and site monitoring tools. We also identified successes and challenges involved in translating SRP grantees’ research findings and advances into application.Discussion:We identified remediation and detection research projects supported by the SRP with the most potential for economic and societal benefits and selected 36 for analysis. To examine the benefits of these applied technologies, we interviewed 28 SRP-supported researchers and 41 partners. Five case studies emerged with the most complete information on cost savings—total savings estimated at >$100 million. Our analysis identified added societal benefits such as creation of small businesses, land and water reuse, sustainable technologies, exposure reduction, and university–industry partnerships.Conclusions:Research funded by the SRP has yielded significant cost savings while providing additional societal benefits. https://doi.org/10.1289/EHP3534

Environmental health sciences (EHS) span many diverse disciplines. Within the EHS community, the National Institute of Environmental Health Sciences Superfund Research Program (SRP) funds multidisciplinary research aimed to address pressing and complex issues on how people are exposed to hazardous substances and their related health consequences with the goal of identifying strategies to reduce exposures and protect human health. While disentangling the interrelationships that contribute to environmental exposures and their effects on human health over the course of life remains difficult, advances in data science and data sharing offer a path forward to explore data across disciplines to reveal new insights. Multidisciplinary SRP-funded teams are well-positioned to examine how to best integrate EHS data across diverse research domains to address multifaceted environmental health problems. As such, SRP supported collaborative research projects designed to foster and enhance the interoperability and reuse of diverse and complex data streams. This perspective synthesizes those experiences as a landscape view of the challenges identified while working to increase the FAIR-ness (Findable, Accessible, Interoperable, and Reusable) of EHS data and opportunities to address them.