Regardless of what your funder requires, there are some best practices to consider when making a plan for your data.
You may have to format, describe, clean, and de-identify your data to ensure that other researchers will find the datasets useful and understandable and in order to protect, if applicable, the privacy of human subjects.
Data cleaning is the process of detecting, diagnosing, and editing faulty data. The tools listed below will help you clean your data and prepare it for sharing.
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