Validation list
Data validation refers to the process of ensuring the accuracy, reliability, and integrity of CRF data collected during the study. It involves a series of checks and procedures that aim to identify and resolve data inconsistencies. The importance of data validation lies in its role in maintaining the scientific validity and credibility of the study results. By ensuring the quality of the data, researchers can have confidence in the findings and draw accurate conclusions, which ultimately impacts patient safety and the decision-making process for regulatory authorities.
In the EDC application, data validation can be conducted through validation rules. A validation rule is a predefined criterion or set of criteria used to assess the accuracy and completeness of the collected data. Under the Validation List tab, you can take care of the validation rule templates which then need to be used for the execution of data validation. You can learn more about the actions available within this tab from the following sections:
