Addressing data inconsistency involves several approaches:
Replication: Replicating experiments under identical conditions to confirm the reliability of results. Cross-Validation: Using multiple independent methods to validate results and ensure consistency. Standard Reference Materials: Employing standard reference materials for calibration and validation purposes. Collaborative Research: Engaging in collaborative research efforts to harmonize methodologies and share best practices.
