Source data refers to the original data collected from its primary location before any modifications, transformations, or analyses are performed. This means it's the unprocessed information that serves as the foundation for further data processing and insights.
In the context of data collection, understanding that source data is the initial input helps to establish the integrity and accuracy of any subsequent analyses. Source data can be gathered from various systems, sensors, surveys, databases, or any means by which raw information is captured.
While other choices describe various aspects of data processing or types of data, they do not accurately define source data. For instance, cleaned data refers to information that has undergone a data cleansing process to remove errors and inconsistencies before analysis. Aggregated data refers to data that has been compiled from multiple sources or summarized to provide a broader overview instead of individual details. Data coming from external sources only does not capture the full spectrum of source data, as it may also include internal data collected from within an organization. Therefore, the correct choice highlights the concept of source data as the unaltered, primary origin of information essential for comprehensive data management practices.