Methods

Step 1 : data collection and cleaning

importance : the reliability and rebalance of data directly shape the outcome bad or incomplete data weakens the AI model

challenges : inconsistent formats, missing values, and bias

DH LInk: Reflects the DH goal of data integrity and ethical sourcing critical and responsible in digital scholarship