The process of conducting a data audit in catalysis typically involves several steps:
Planning: Define the scope and objectives of the audit. Data Collection: Gather all relevant data from experiments, including raw data and processed results. Data Validation: Check the accuracy and consistency of the data. This may involve cross-referencing with control experiments or established standards. Data Correction: Identify and correct any errors or inconsistencies in the data. Reporting: Document the findings of the audit and suggest improvements if necessary.
