Superfund Research Program, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Research Triangle Park, North Carolina 27709, United States.
MDB, Inc., Durham, North Carolina 27713, United States.
Environ Sci Technol. 2022 Jun 21;56(12):7544-7552. doi: 10.1021/acs.est.1c08383. Epub 2022 May 12.
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.
环境健康科学（EHS）涵盖了许多不同的学科。在 EHS 社区中，美国国家环境卫生科学研究所超级基金研究计划（SRP）资助多学科研究，旨在解决人们接触有害物质及其相关健康后果的紧迫而复杂的问题，目标是确定减少暴露和保护人类健康的策略。虽然厘清导致环境暴露及其对人类健康影响的相互关系仍然具有挑战性，但数据科学和数据共享的进步为探索跨学科数据以揭示新见解提供了一条途径。多学科的 SRP 资助团队非常适合研究如何最好地整合不同研究领域的 EHS 数据，以解决多方面的环境健康问题。因此，SRP 支持旨在促进和增强不同和复杂数据流的互操作性和可重用性的合作研究项目。本观点综合了这些经验，从景观角度审视了在努力提高 EHS 数据的 FAIR 性（可发现性、可访问性、互操作性和可重用性）时遇到的挑战，并探讨了解决这些挑战的机会。
