Data Documentation: This involves documenting the data collection methods, including the instruments used, sampling methods, and any preprocessing steps. Variable Description: Each variable in the dataset should be described in detail, including its name, type, unit of measurement, and any coding schemes used. Data Provenance: This involves documenting the source of the data, including the original data collectors, institutions, and any funding sources. Data Quality Assessment: This involves documenting any known issues with the data, such as missing values, outliers, or measurement errors.
