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Metadata is the data that describes information: language, who it is for, the source etc.

Attribute data is composed of the attribute name and attribute value for example:

"Color=red" where color is the attribute name and red is the attribute value.

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Metadata describes the characteristics of data, such as its format, source, and creation date, while attribute data provides specific values and properties of the data, such as the size, color, or location. Metadata is essentially data about the data, providing context and information on how to interpret and use the data, while attribute data is the actual content or values within the dataset.

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1y ago
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Q: Differences between metadata and attribute data?
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