On the other hand, "metadata" provides information about the data itself. It describes the context, structure, content, and other characteristics of the data. Metadata can include details such as the data's creator, creation date, file format, data dictionary, access rights, and usage guidelines.
Here are some key distinctions between data and metadata:
- Data contains the actual information or values, while metadata provides information about the data.
- Data is the primary subject of analysis and processing, while metadata aids in understanding and managing the data.
- Data can be manipulated, transformed, and analyzed to extract insights or patterns, while metadata remains relatively static, describing the attributes of the data.
- Data is the content, while metadata is the label or documentation.
Metadata plays a crucial role in data management, data processing, and data understanding. It helps users efficiently locate, interpret, and use the data effectively. Well-defined metadata enables easier data integration, better data accuracy, and improved compliance with data regulations.