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Enhancing Data Integration, Interoperability, and Reuse to Address Complex and Emerging Environmental Health

Michelle L Heacock1, Adeline R Lopez2, Sara M Amolegbe1

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Area of Science:

  • Environmental Health Sciences (EHS)
  • Data Science
  • Public Health

Background:

  • Environmental Health Sciences (EHS) encompass diverse disciplines.
  • The National Institute of Environmental Health Sciences Superfund Research Program (SRP) funds research on hazardous substance exposure and health consequences.
  • Understanding lifelong environmental exposures and their health effects is complex.

Purpose of the Study:

  • To explore how advances in data science and data sharing can reveal new insights into environmental exposures and health.
  • To examine how multidisciplinary SRP-funded teams can integrate EHS data across domains.
  • To synthesize experiences in increasing the FAIRness (Findable, Accessible, Interoperable, and Reusable) of EHS data.

Main Methods:

  • Review of collaborative research projects supported by the SRP.
  • Analysis of challenges and opportunities in enhancing EHS data interoperability and reuse.
  • Synthesis of experiences in improving the FAIRness of environmental health data.

Main Results:

  • SRP-funded projects fostered data interoperability and reuse across diverse data streams.
  • Identified challenges in making EHS data FAIR.
  • Highlighted opportunities to address these challenges through collaborative data science approaches.

Conclusions:

  • Integrating diverse EHS data through improved FAIRness is crucial for addressing complex environmental health problems.
  • Data science and data sharing offer a path forward to better understand exposure-health relationships.
  • SRP's experience provides a landscape view of advancing data accessibility and reuse in EHS research.