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When data is created, so is metadata. However, this type of information is not enough to properly manage data in this expanding digital era; data managers must invest time in making sure this business asset is properly named, tagged, stored, and archived in a taxonomy that is consistent with all of the other assets in the enterprise. This is what we call, “metadata management.” Let’s get into it.
What is metadata?
The most frequently cited definition for metadata is, “data on the data.” The main difference between Data and Metadata is that data is simply the content that can provide a description, measurement, or even a report on anything relative to an enterprise’s data assets. On the other hand, metadata describes the relevant information on said data, giving them more context for data users.
So, imagine seeing a photo. The actual photo itself is the data. The metadata here would be the file type, format, origin, date, etc.
For more information on the difference between data and metadata
What are the types of metadata?
Metadata provides essential information to properly understand and use data. It covers a wide range of aspects:
- technical information (storage…
