Data (Overview)

Input Data

For the analysis of a sample and for documentation and archiving purposes, various types of input data are required, which you have to determine or enter before you can start the analysis.

The required input includes, for example, the sample name, weight, injection volume, chromatographic conditions (solvent, flow, detection wavelength, connected devices, etc.), as well as the run time. Distinguish between:

• Data describing a sample (Sample Data),

• Data describing a sequence (Sequence Data, usually entered automatically), and

• Data describing the chromatographic treatment of a sample (Chromatographic Methods).

The user input is the basis for the analytical process.

Output Data

The data recorded during analysis is referred to as output data. Output data includes:

• Data provided by the analysis (analysis and/or Raw Data)

• Protocol data on the analysis (Audit Trail).

Due to this variety of data types, systematic data organization and storage is especially important (see Data Management  Data Storage).