Several factors influence data quality in catalysis:
Accuracy: Ensuring that measurements reflect the true value. Precision: Consistency of measurements when repeated under the same conditions. Reproducibility: Ability to obtain consistent results by different researchers using the same methods. Completeness: Inclusion of all necessary data points and details for comprehensive analysis. Consistency: Harmonization of data formats and measurement units to facilitate comparison and integration. Reliability: Dependability of data sources and measurement techniques.
