What process verifies research protocols to avoid errors and confirm data accuracy?

The process that verifies research protocols to avoid errors and confirm data accuracy is known as data validation. This crucial step ensures that the data collected is correct, reliable, and usable for analysis. Data validation involves checking for accuracy, completeness, and consistency before the data is utilized in further research or decision-making processes.

Through various techniques, data validation can identify inconsistencies, outliers, or errors in the dataset, which might stem from various sources such as data entry mistakes, measurement errors, or data transmission issues. By implementing data validation, researchers can enhance the integrity of their findings and maintain a high standard of quality in their research outcomes.

Other processes mentioned in the question have different focuses: exploratory data analysis is geared towards summarizing and understanding the characteristics of the dataset, predictive replacement involves estimating missing data based on predictions, and pairwise deletion deals with missing data during analysis. These processes do not specifically prioritize the verification of protocols to ensure the accuracy of the data.