Data accuracy refers to the degree to which data is correct, reliable, and free from errors. In research, data accuracy is crucial for ensuring the validity and reliability of study findings. This involves ensuring that data is collected, entered, stored, and analyzed correctly to prevent inaccuracies or biases that could impact the results. Researchers must carefully assess the quality of their data to ensure that it is accurate and can be trusted for making informed decisions or drawing meaningful conclusions. Techniques for improving data accuracy include thorough data validation, verification, and quality control measures.