Enhancing Data Integration, Interoperability, and Reuse to Address Complex and Emerging Environmental Health Problems Article Swipe
YOU?
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· 2022
· Open Access
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· DOI: https://doi.org/10.1021/acs.est.1c08383
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.
Related Topics
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.1021/acs.est.1c08383
- OA Status
- green
- Cited By
- 27
- References
- 62
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4280613147
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4280613147Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1021/acs.est.1c08383Digital Object Identifier
- Title
-
Enhancing Data Integration, Interoperability, and Reuse to Address Complex and Emerging Environmental Health ProblemsWork title
- Type
-
reviewOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-05-12Full publication date if available
- Authors
-
Michelle Heacock, Adeline R. Lopez, Sara M. Amolegbe, Danielle J. Carlin, Heather F. Henry, Brittany A. Trottier, Maria L. Velasco, William A. SukList of authors in order
- Landing page
-
https://doi.org/10.1021/acs.est.1c08383Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.ncbi.nlm.nih.gov/pmc/articles/9227711Direct OA link when available
- Concepts
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Interoperability, Superfund, Multidisciplinary approach, Data sharing, Reuse, Data science, Health data, Hazardous waste, Computer science, Knowledge management, Engineering, Political science, Medicine, Health care, World Wide Web, Law, Waste management, Pathology, Alternative medicineTop concepts (fields/topics) attached by OpenAlex
- Cited by
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27Total citation count in OpenAlex
- Citations by year (recent)
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2025: 10, 2024: 11, 2023: 4, 2022: 2Per-year citation counts (last 5 years)
- References (count)
-
62Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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