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Who decides what good data science looks like? And who gets to decide what "data ethics" means? The answer is all of us. Good data science should incorporate the perspectives of people who create and work with data, people who study the interactions between science and society, and people whose lives are affected by data science.Turning historical meteorological observations into usable data is a challenging process that is immeasurably enriched when it encompasses interdisciplinarity. Here, the McGill DRAW (Data Rescue Archives and Weat
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