CSV

Description: CSV (Comma-Separated Values) files are a type of plain text file used to store tabular data. Each line in a CSV file represents a data record, and each record consists of one or more fields separated by commas. This format is widely supported by many applications and is particularly useful for transferring data between different programs.

In the context of lab automation, CSV files are often used for a variety of purposes:

Data Storage and Exchange: CSV files provide a simple way to store and share experimental data. They can be easily generated by lab instruments and read by various software tools for analysis.

Sample Tracking: Information about samples, such as their ID, type, and related metadata, can be organized in CSV files. This aids in tracking samples through different stages of experimental workflows.

Configuration Settings: CSV files can be used to configure settings for automated lab equipment. Parameters like temperature, duration, and sequence of operations can be specified in a CSV file and then read by the equipment.

Data Analysis: Many data analysis tools and programming languages (like Python, R, and MATLAB) can import CSV files for statistical analysis, visualization, and further processing of lab data.

Integration with Laboratory Information Management Systems (LIMS): CSV files are often used as a simple format for importing or exporting data to and from LIMS, which manage data, workflow, and resources in laboratories.

Overall, CSV files are a flexible and straightforward solution for managing various aspects of lab automation, from data collection to analysis and reporting.

Standard Type: Software

Sub-type: Data Format

Governing Body: No formal governance. Internet Engineering Task Force (IETF) published RFC 4180 as a reference.