Introduction
Deriving value from data
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Four key elements of succeess
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1. Pitfalls
Clean and dirty data
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Version control
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Error creation
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Bias
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Virtual teams and data
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2. Best Practices
Communicate the big picture
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Discuss potential issues in the data
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Assess data storage and processing
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Review data collection: How and where
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Create data if you need it
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Triple check your work
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Show and teach
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3. Project Management
Have a plan
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The value of deadlines
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4. Evaluating Work
Evaluations
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Completeness
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Accuracy
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Timeliness
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Neatness
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