Which term describes data about data used to support discovery and interoperability?

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Multiple Choice

Which term describes data about data used to support discovery and interoperability?

Metadata is data about data that describes what the data contain, where they come from, how they are structured, and how they can be used. This descriptive information makes it easier to discover relevant datasets and to combine data from different sources, because metadata covers aspects like titles, descriptions, creation dates, formats, schemas, units, and provenance. For example, in a data catalog, metadata might specify the dataset’s subject, who created it, when, the variables and their data types, and any licensing or access restrictions. Without metadata, you’d have to open every file to understand its contents, which makes finding and integrating data much more error-prone and time-consuming. The other terms describe the data itself or its processing level (raw or derived), not the descriptive information that enables discovery and interoperability.

Metadata is data about data that describes what the data contain, where they come from, how they are structured, and how they can be used. This descriptive information makes it easier to discover relevant datasets and to combine data from different sources, because metadata covers aspects like titles, descriptions, creation dates, formats, schemas, units, and provenance. For example, in a data catalog, metadata might specify the dataset’s subject, who created it, when, the variables and their data types, and any licensing or access restrictions. Without metadata, you’d have to open every file to understand its contents, which makes finding and integrating data much more error-prone and time-consuming. The other terms describe the data itself or its processing level (raw or derived), not the descriptive information that enables discovery and interoperability.

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