Lesson 14: Preventing Data Mistakes
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This is the fourth lesson of Level 3 of the Data Proficiency Program. You're now working towards your Level 3 - Gold Badge.
Studying data involves discerning between errors and malicious actions, distinguishing user mistakes from intentional attempts to commit fraud. Mistakes arise when data is incomplete, duplicated or manipulated, leading to biased outcomes. However, a deceptive user might manipulate data unethically to present desired results.
In this video lesson titled “Data Mistakes” from the Study Hall: Data Literacy Series, you’ll learn about how mistakes can happen to anyone including the professionals. The lesson explains the importance of minimizing and correcting data mistakes before they contribute to misleading conclusions.
Data is always changing due to continuous updates and improvements, showcasing the constantly shifting information landscape. The ability to navigate this dynamic landscape is essential for individuals.
EXTRA READING
For this lesson’s extra reading, we found an article on LinkedIn that discusses common sources of data errors and how to prevent them. As a state employee, it’s important to remember that you all likely engage in data collection and analysis as part of your daily activities. By following the latest best practices, you can ensure that your data is of high quality and can be relied upon.
What are the common sources of data errors and how do you prevent them? (LinkedIn)
References
<< Go back to Lesson 13: How to Spot Credible Research | Go to Lesson 15: Data Context
The video for lesson 14 Data Privacy: Study Hall Data Literacy #14 ASU + Crash Course) comes from the Study Hall: Data Literacy series released by Arizona State University as part of the popular Crash Course learning channel on YouTube.