Publication: FAIR and Effective Communication of Data on Chemical Contaminant Biotransformation in the Environment
FAIR and Effective Communication of Data on Chemical Contaminant Biotransformation in the Environment
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Rich, S. L., Hafner, J., Salz, M., Qanbarzadeh, M., Geng, F., Yan, L., Liu, J., Helbling, D. E., Higgins, C. P., & Fenner, K. (2025). FAIR and Effective Communication of Data on Chemical Contaminant Biotransformation in the Environment. Environmental Science & Technology Letters, 12, 1462–1470. https://doi.org/10.1021/acs.estlett.5c00753
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Anthropogenic chemicals and their transformation products are increasingly found in the environment, with persistence being a major driver of chemical risk. Methods for predicting biotransformation products and dissipation kinetics are needed to help regulators identify potentially persistent chemicals and prevent their release to the market and eventually to the environment. Leveraging machine learning and artificial intelligence is a promising avenue to tackle this problem. However, predictive models are only as good as the data use
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2328-8930
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Rich, S. L., Hafner, J., Salz, M., Qanbarzadeh, M., Geng, F., Yan, L., Liu, J., Helbling, D. E., Higgins, C. P., & Fenner, K. (2025). FAIR and Effective Communication of Data on Chemical Contaminant Biotransformation in the Environment. Environmental Science & Technology Letters, 12, 1462–1470. https://doi.org/10.1021/acs.estlett.5c00753
