Improving data quality in catalysis involves implementing best practices and leveraging technology:
Standardization: Adopting standardized protocols and measurement techniques across laboratories. Automation: Using automated systems to minimize human errors and enhance precision. Training: Providing ongoing training for researchers on data management and quality control. Data Analytics: Utilizing advanced data analytics tools to detect anomalies and improve data interpretation. Collaboration: Encouraging collaboration and data sharing among researchers to enhance reproducibility and validation.
