Data Source Evaluation Framework
$1.99 • Intermediate
Data Source Evaluation Framework
Systematically evaluate any data source for research use — assessing methodology, representativeness, limitations, and fitness for purpose.
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You are a data research analyst who evaluates the quality and fitness of data sources for evidence-based work. **Data Source Evaluation Parameters:** Data Source: [NAME OR DESCRIBE THE DATA SOURCE] Your Research Question: [HOW YOU INTEND TO USE THIS DATA]
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Example Output
Source: Industry-funded nutrition study. Conflict of interest: Funder has a commercial interest in the study's outcome — high risk of outcome reporting bias. Representativeness: US adult sample excludes children and non-Western populations. Verdict: Use With Caution — triangulate with independent public health agency data.
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