The PowerChecker: a visual basic program for ensuring data integrity.

Area of Science:

• Data Science
• Research Methodology
• Clinical Research

Background:

• Data integrity is crucial in research, but data entry and encoding errors remain a significant challenge.
• Existing methods for identifying data errors can be time-consuming and inefficient for researchers.
• Ensuring data accuracy is vital for the reliability of research findings and compliance with standards.

Purpose of the Study:

• To introduce PowerChecker, a novel program designed for efficient data set validation.
• To present an improved method for correcting data entry errors during the data input process.
• To demonstrate how PowerChecker aids in meeting quality assurance requirements for research data.

Main Methods:

• PowerChecker allows for real-time correction of data entry errors during the second data input pass.
• The program facilitates a more efficient validation process compared to traditional double-entry and discrepancy checking.
• It provides a time-stamped record of all modifications made to the original data set.

Main Results:

• PowerChecker significantly enhances the efficiency of data set validation.
• The program reduces the time and effort required to identify and correct data entry errors.
• It supports adherence to quality assurance protocols, including Good Clinical Practice standards.

Conclusions:

• PowerChecker offers a more efficient and effective approach to data set validation in research.
• The tool helps mitigate risks associated with data entry errors, thereby improving data integrity.
• Implementing PowerChecker can streamline quality assurance processes and support reliable research outcomes.