Metadata is the documentation and context which makes your data re-usable. It includes both file-level information and overarching project information. Metadata is best collected systematically and continually throughout the research process. Examples of metadata include:
For more information regarding keeping metadata in lab notebooks, check out MIT's Instructions for Using Your Laboratory Notebook.