adatszármazás
Adatszármazás refers to the origin and history of data. It encompasses understanding where data comes from, how it was collected, transformed, and used throughout its lifecycle. This concept is crucial for data quality, integrity, and trustworthiness. By tracing adatszármazás, one can identify potential biases, errors, or inaccuracies introduced at any stage of the data's journey. This is particularly important in fields like scientific research, financial reporting, and machine learning, where the reliability of insights depends heavily on the quality of the underlying data.
Understanding adatszármazás involves examining the data sources, the methods of data acquisition, and any subsequent processing