What is data quality? Explain the steps followed in calculation and interpretation of  RMSE.

Data quality refers to the accuracy, consistency, completeness, reliability, and relevance of data used in any system, including the Global Navigation Satellite System (GNSS) and Geographic Information System (GIS). In these systems, data quality ensures that spatial information is precise and reliable for applications such as navigation, mapping, and spatial analysis. Poor data quality can lead to incorrect positioning, misaligned maps, and errors in spatial decision-making.

One of the key measures of data quality in GNSS and GIS is Root Mean Square Error (RMSE), which quantifies the difference between observed values and true values. RMSE is widely ______ ______ _________ ________ ___ ______ __________ __________ ______ _________ ______ _____.
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