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Handling data explicitly and ethically
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Module 3
Establishing Information Validity with ROCCC
1
The Importance of Validating Data Sources
Explain why assessing information validity is a prerequisite to using any data source in analysis.
Assessing Data Reliability: Consistency in Collection Methods
Evaluate the reliability of a data source by examining the consistency of its collection methods, such as using a standardized technique for all bra measurements.
3
Primary vs. Secondary Data: Impact on Trustworthiness
Determine if a data source is original or secondary and explain how this affects trustworthiness, such as comparing self-reported bra sizes to professional fittings.
4
Data Sufficiency for Research Questions
Assess if a dataset is comprehensive enough for the research question, such as covering sufficient body types in a bra sizing study.
Data Freshness for Relevant Analysis
Judge if a data source is current enough for the intended analysis, such as using recent consumer preference data for bra design.
6
Citing and Tracing Data Sources
Verify that a data source is properly cited and traceable back to its origin.
7
Evaluating Data Sources with ROCCC
Apply all five ROCCC criteria to evaluate a given data source and justify a decision to include or reject it for analysis.
Previous module
Ensuring Data Ethics with CTO POC
Next module
Structuring Data with SAD Metadata