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Description	Table 1. Challenges and recommendations for fostering the big data revolution in environmental public health, summarized here and detailed in text
Source	Comess, S.; Akbay, A.; Vasiliou, M.; Hines, R.N.; Joppa, L.; Vasiliou, V.; Kleinstreuer, N. (2020). "Bringing big data to bear in environmental public health: Challenges and recommendations". Frontiers in Artificial Intelligence 3: 31. doi:10.3389/frai.2020.00031.
Date	2020
Author	Comess, S.; Akbay, A.; Vasiliou, M.; Hines, R.N.; Joppa, L.; Vasiliou, V.; Kleinstreuer, N.
Permission (Reusing this file)	Creative Commons Attribution 4.0 International
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Image title	x-repair: Understanding the role that the environment plays in influencing public health often involves collecting and studying large, complex data sets.
Author	Vasilis Vasiliou and Nicole Kleinstreuer
Orientation	Normal
Horizontal resolution	72 dpi
Vertical resolution	72 dpi
Software used	Adobe Photoshop CS6 (Windows)
File change date and time	18:29, 13 May 2020
Color space	Uncalibrated
Date and time of digitizing	05:20, 13 May 2020
Date metadata was last modified	23:59, 13 May 2020
Unique ID of original document	d409d454-96d8-11ea-0000-e864dcf5a249
Short title	Bringing Big Data to Bear in Environmental Public Health: Challenges and Recommendations
Keywords	artificial intelligence public health machine learning open data environmental health sciences big data