Implementing validation rules typically involves several steps:
Defining Criteria: This involves setting the standards or benchmarks that data or processes must meet. Data Collection: Ensuring that data is collected in a way that meets the predefined criteria. Data Analysis: Using statistical and computational methods to analyze the data and ensure it meets the validation criteria. Peer Review: Having other experts review the data and methods to ensure they are valid. Regulatory Review: Submitting data and findings to regulatory bodies for approval.
