Data Literacy and Strategy

  1. Critical Data Evaluation Skills
    1. Data Quality Assessment
      1. Quality Dimensions
        1. Accuracy Evaluation
          1. Completeness Analysis
            1. Consistency Checking
              1. Timeliness Assessment
                1. Validity Verification
                  1. Uniqueness Testing
                  2. Missing Data Management
                    1. Missing Data Types
                      1. Impact Assessment
                        1. Imputation Methods
                          1. Sensitivity Analysis
                        2. Bias Recognition and Mitigation
                          1. Types of Data Bias
                            1. Selection Bias
                              1. Confirmation Bias
                                1. Measurement Bias
                                  1. Survivorship Bias
                                    1. Algorithmic Bias
                                    2. Bias Detection Methods
                                      1. Statistical Testing
                                        1. Comparative Analysis
                                          1. Peer Review
                                            1. External Validation
                                            2. Bias Mitigation Strategies
                                              1. Sampling Improvements
                                                1. Methodology Adjustments
                                                  1. Multiple Data Sources
                                                    1. Transparency Measures
                                                  2. Visualization Evaluation
                                                    1. Chart Appropriateness
                                                      1. Chart Type Selection
                                                        1. Data Relationship Matching
                                                          1. Audience Consideration
                                                            1. Context Relevance
                                                            2. Misleading Visualization Detection
                                                              1. Scale Manipulation
                                                                1. Cherry-picking Data
                                                                  1. Visual Distortion
                                                                    1. Context Omission

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                                                                2. Building Data Literacy Skills

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                                                                4. Strategic Data Planning