TAME 2.0: expanding and improving online data science training for environmental health research
IntroductionData science training has the potential to propel environmental health research efforts into territories that remain untapped and holds immense promise to change our understanding of human health and the environment. Though data science training resources are expanding, they are still li...
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Frontiers Media S.A.
2025-02-01
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| Series: | Frontiers in Toxicology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/ftox.2025.1535098/full |
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| author | Alexis Payton Alexis Payton Alexis Payton Elise Hickman Elise Hickman Elise Hickman Jessie Chappel Jessie Chappel Jessie Chappel Kyle Roell Kyle Roell Lauren E. Koval Lauren E. Koval Lauren A. Eaves Lauren A. Eaves Chloe K. Chou Chloe K. Chou Chloe K. Chou Allison Spring Allison Spring Sarah L. Miller Sarah L. Miller Sarah L. Miller Oyemwenosa N. Avenbuan Oyemwenosa N. Avenbuan Oyemwenosa N. Avenbuan Rebecca Boyles Rebecca Boyles Paul Kruse Cynthia V. Rider Grace Patlewicz Caroline Ring Cavin Ward-Caviness David M. Reif Ilona Jaspers Ilona Jaspers Ilona Jaspers Ilona Jaspers Ilona Jaspers Rebecca C. Fry Rebecca C. Fry Rebecca C. Fry Julia E. Rager Julia E. Rager Julia E. Rager Julia E. Rager |
| author_facet | Alexis Payton Alexis Payton Alexis Payton Elise Hickman Elise Hickman Elise Hickman Jessie Chappel Jessie Chappel Jessie Chappel Kyle Roell Kyle Roell Lauren E. Koval Lauren E. Koval Lauren A. Eaves Lauren A. Eaves Chloe K. Chou Chloe K. Chou Chloe K. Chou Allison Spring Allison Spring Sarah L. Miller Sarah L. Miller Sarah L. Miller Oyemwenosa N. Avenbuan Oyemwenosa N. Avenbuan Oyemwenosa N. Avenbuan Rebecca Boyles Rebecca Boyles Paul Kruse Cynthia V. Rider Grace Patlewicz Caroline Ring Cavin Ward-Caviness David M. Reif Ilona Jaspers Ilona Jaspers Ilona Jaspers Ilona Jaspers Ilona Jaspers Rebecca C. Fry Rebecca C. Fry Rebecca C. Fry Julia E. Rager Julia E. Rager Julia E. Rager Julia E. Rager |
| author_sort | Alexis Payton |
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| description | IntroductionData science training has the potential to propel environmental health research efforts into territories that remain untapped and holds immense promise to change our understanding of human health and the environment. Though data science training resources are expanding, they are still limited in terms of public accessibility, user friendliness, breadth of content, tangibility through real-world examples, and applicability to the field of environmental health science.MethodsTo fill this gap, we developed an environmental health data science training resource, the inTelligence And Machine lEarning (TAME) Toolkit, version 2.0 (TAME 2.0).ResultsTAME 2.0 is a publicly available website that includes training modules organized into seven chapters. Training topics were prioritized based upon ongoing engagement with trainees, professional colleague feedback, and emerging topics in the field of environmental health research (e.g., artificial intelligence and machine learning). TAME 2.0 is a significant expansion upon the original TAME training resource pilot. TAME 2.0 specifically includes training organized into the following chapters: (1) Data management to enable scientific collaborations; (2) Coding in R; (3) Basics of data analysis and visualizations; (4) Converting wet lab data into dry lab analyses; (5) Machine learning; (6) Applications in toxicology and exposure science; and (7) Environmental health database mining. Also new to TAME 2.0 are “Test Your Knowledge” activities at the end of each training module, in which participants are asked additional module-specific questions about the example datasets and apply skills introduced in the module to answer them. TAME 2.0 effectiveness was evaluated via participant surveys during graduate-level workshops and coursework, as well as undergraduate-level summer research training events, and suggested edits were incorporated while overall metrics of effectiveness were quantified.DiscussionCollectively, TAME 2.0 now serves as a valuable resource to address the growing demand of increased data science training in environmental health research. TAME 2.0 is publicly available at: https://uncsrp.github.io/TAME2/. |
| format | Article |
| id | doaj-art-42981574cd9d4a309af1cfd4138d263a |
| institution | Kabale University |
| issn | 2673-3080 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Toxicology |
| spelling | doaj-art-42981574cd9d4a309af1cfd4138d263a2025-02-12T07:25:40ZengFrontiers Media S.A.Frontiers in Toxicology2673-30802025-02-01710.3389/ftox.2025.15350981535098TAME 2.0: expanding and improving online data science training for environmental health researchAlexis Payton0Alexis Payton1Alexis Payton2Elise Hickman3Elise Hickman4Elise Hickman5Jessie Chappel6Jessie Chappel7Jessie Chappel8Kyle Roell9Kyle Roell10Lauren E. Koval11Lauren E. Koval12Lauren A. Eaves13Lauren A. Eaves14Chloe K. Chou15Chloe K. Chou16Chloe K. Chou17Allison Spring18Allison Spring19Sarah L. Miller20Sarah L. Miller21Sarah L. Miller22Oyemwenosa N. Avenbuan23Oyemwenosa N. Avenbuan24Oyemwenosa N. Avenbuan25Rebecca Boyles26Rebecca Boyles27Paul Kruse28Cynthia V. Rider29Grace Patlewicz30Caroline Ring31Cavin Ward-Caviness32David M. Reif33Ilona Jaspers34Ilona Jaspers35Ilona Jaspers36Ilona Jaspers37Ilona Jaspers38Rebecca C. Fry39Rebecca C. Fry40Rebecca C. Fry41Julia E. Rager42Julia E. Rager43Julia E. Rager44Julia E. Rager45Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United StatesCenter for Environmental Medicine, Asthma and Lung Biology, School of Medicine, University of North Carolina, Chapel Hill, NC, United StatesThe Institute for Environmental Health Solutions, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United StatesDepartment of Environmental Sciences and Engineering, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United StatesThe Institute for Environmental Health Solutions, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United StatesCurriculum in Toxicology and Environmental Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC, United StatesDepartment of Environmental Sciences and Engineering, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United StatesThe Institute for Environmental Health Solutions, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United StatesCurriculum in Toxicology and Environmental Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC, United StatesDepartment of Environmental Sciences and Engineering, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United StatesThe Institute for Environmental Health Solutions, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United StatesDepartment of Environmental Sciences and Engineering, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United StatesThe Institute for Environmental Health Solutions, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United StatesDepartment of Environmental Sciences and Engineering, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United StatesThe Institute for Environmental Health Solutions, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United StatesDepartment of Environmental Sciences and Engineering, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United StatesThe Institute for Environmental Health Solutions, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United StatesCurriculum in Toxicology and Environmental Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC, United StatesDepartment of Environmental Sciences and Engineering, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United StatesThe Institute for Environmental Health Solutions, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United StatesDepartment of Environmental Sciences and Engineering, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United StatesThe Institute for Environmental Health Solutions, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United StatesCurriculum in Toxicology and Environmental Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC, United StatesDepartment of Environmental Sciences and Engineering, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United StatesThe Institute for Environmental Health Solutions, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United StatesCurriculum in Toxicology and Environmental Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC, United StatesRenaissance Computing Institute, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United StatesSchool of Data Science and Society, University of North Carolina, Chapel Hill, NC, United StatesCenter for Computational Toxicology and Exposure, US Environmental Protection Agency, Durham, NC, United StatesDivision of Translational Toxicology, National Institute of Environmental Health Sciences, Durham, NC, United StatesCenter for Computational Toxicology and Exposure, US Environmental Protection Agency, Durham, NC, United StatesCenter for Computational Toxicology and Exposure, US Environmental Protection Agency, Durham, NC, United StatesCenter for Public Health and Environmental Assessment, US Environmental Protection Agency, Chapel Hill, NC, United StatesDivision of Translational Toxicology, National Institute of Environmental Health Sciences, Durham, NC, United StatesDepartment of Environmental Sciences and Engineering, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United StatesCenter for Environmental Medicine, Asthma and Lung Biology, School of Medicine, University of North Carolina, Chapel Hill, NC, United StatesThe Institute for Environmental Health Solutions, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United StatesCurriculum in Toxicology and Environmental Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC, United States0Department of Pediatrics, School of Medicine, University of North Carolina, Chapel Hill, NC, United StatesDepartment of Environmental Sciences and Engineering, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United StatesThe Institute for Environmental Health Solutions, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United StatesCurriculum in Toxicology and Environmental Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC, United StatesDepartment of Environmental Sciences and Engineering, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United StatesCenter for Environmental Medicine, Asthma and Lung Biology, School of Medicine, University of North Carolina, Chapel Hill, NC, United StatesThe Institute for Environmental Health Solutions, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United StatesCurriculum in Toxicology and Environmental Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC, United StatesIntroductionData science training has the potential to propel environmental health research efforts into territories that remain untapped and holds immense promise to change our understanding of human health and the environment. Though data science training resources are expanding, they are still limited in terms of public accessibility, user friendliness, breadth of content, tangibility through real-world examples, and applicability to the field of environmental health science.MethodsTo fill this gap, we developed an environmental health data science training resource, the inTelligence And Machine lEarning (TAME) Toolkit, version 2.0 (TAME 2.0).ResultsTAME 2.0 is a publicly available website that includes training modules organized into seven chapters. Training topics were prioritized based upon ongoing engagement with trainees, professional colleague feedback, and emerging topics in the field of environmental health research (e.g., artificial intelligence and machine learning). TAME 2.0 is a significant expansion upon the original TAME training resource pilot. TAME 2.0 specifically includes training organized into the following chapters: (1) Data management to enable scientific collaborations; (2) Coding in R; (3) Basics of data analysis and visualizations; (4) Converting wet lab data into dry lab analyses; (5) Machine learning; (6) Applications in toxicology and exposure science; and (7) Environmental health database mining. Also new to TAME 2.0 are “Test Your Knowledge” activities at the end of each training module, in which participants are asked additional module-specific questions about the example datasets and apply skills introduced in the module to answer them. TAME 2.0 effectiveness was evaluated via participant surveys during graduate-level workshops and coursework, as well as undergraduate-level summer research training events, and suggested edits were incorporated while overall metrics of effectiveness were quantified.DiscussionCollectively, TAME 2.0 now serves as a valuable resource to address the growing demand of increased data science training in environmental health research. TAME 2.0 is publicly available at: https://uncsrp.github.io/TAME2/.https://www.frontiersin.org/articles/10.3389/ftox.2025.1535098/fullcodingcomputational toxicologydata sciencedata visualizationsexposure sciencehealth research |
| spellingShingle | Alexis Payton Alexis Payton Alexis Payton Elise Hickman Elise Hickman Elise Hickman Jessie Chappel Jessie Chappel Jessie Chappel Kyle Roell Kyle Roell Lauren E. Koval Lauren E. Koval Lauren A. Eaves Lauren A. Eaves Chloe K. Chou Chloe K. Chou Chloe K. Chou Allison Spring Allison Spring Sarah L. Miller Sarah L. Miller Sarah L. Miller Oyemwenosa N. Avenbuan Oyemwenosa N. Avenbuan Oyemwenosa N. Avenbuan Rebecca Boyles Rebecca Boyles Paul Kruse Cynthia V. Rider Grace Patlewicz Caroline Ring Cavin Ward-Caviness David M. Reif Ilona Jaspers Ilona Jaspers Ilona Jaspers Ilona Jaspers Ilona Jaspers Rebecca C. Fry Rebecca C. Fry Rebecca C. Fry Julia E. Rager Julia E. Rager Julia E. Rager Julia E. Rager TAME 2.0: expanding and improving online data science training for environmental health research Frontiers in Toxicology coding computational toxicology data science data visualizations exposure science health research |
| title | TAME 2.0: expanding and improving online data science training for environmental health research |
| title_full | TAME 2.0: expanding and improving online data science training for environmental health research |
| title_fullStr | TAME 2.0: expanding and improving online data science training for environmental health research |
| title_full_unstemmed | TAME 2.0: expanding and improving online data science training for environmental health research |
| title_short | TAME 2.0: expanding and improving online data science training for environmental health research |
| title_sort | tame 2 0 expanding and improving online data science training for environmental health research |
| topic | coding computational toxicology data science data visualizations exposure science health research |
| url | https://www.frontiersin.org/articles/10.3389/ftox.2025.1535098/full |
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