Raw Data

 Raw data refers to unprocessed, unanalyzed data that has been collected or generated during experiments, observations, or other types of data collection activities. Raw data typically consists of measurements, observations, or other forms of data that have not been subjected to any type of analysis or interpretation.

In regulated industries such as pharmaceuticals, medical devices, and biotechnology, raw data is often subject to strict controls and requirements to ensure its accuracy, completeness, and integrity. Raw data must be recorded in a timely and accurate manner, and must be properly attributed to the source of the data. Raw data must also be stored securely and backed up in case of data loss or corruption.

Raw data is typically subjected to various types of data processing and analysis to derive meaningful insights and conclusions. However, it is important that the raw data is not modified or altered in any way during these processes, and that all processing and analysis is properly documented and traceable back to the original raw data.

In summary, raw data is a critical component of data-driven research and analysis, and its integrity and accuracy is essential for ensuring the reliability and validity of scientific findings and regulatory compliance.

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