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MND recognizes the importance of data literacy, especially in the Earth Sciences because data are the foundation of science.  But what does data literacy look like?

Scientists and engineers use mathematics and quantitative thinking to representing variables, behaviors, and their relationships. Mathematics is used to create models and simulations; statistically analyze data; and recognize, communicate, and look for relationships with other variables.

Within the science education community, there is a shift in focus from content driven instruction to that of the processes and practices associated with the acquisition of scientific knowledge.

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