Data organization refers to structuring data into a usable format, making it easier to find, analyze, and interpret. This involves classifying data, using logical file naming conventions, and creating a structured folder system, version control, metadata, etc. Consistency and logic are the top two reasons researchers organize their data. In addition to CMU OIT for CMU data users and different repositories' guidelines and requirements, the following sources contain more detailed information about organizing data:
