What is a key characteristic of metadata?

What is a key characteristic of metadata?

• A. Data that describes other data
• B. Raw numeric data
• C. Fictional data set
• D. Data representing leadership roles

Answer: (A)

The key characteristic of metadata is that it is data that describes other data. This means that metadata provides context or additional information about a dataset, making it easier to understand, manage, and locate. For example, metadata can include details such as the source of the data, the format it comes in, how frequently it is updated, and its structure or schema. Metadata plays a crucial role in data management because it helps users interpret the data correctly and ensures that the data can be used effectively for analysis and decision-making. By knowing the characteristics of the data through its metadata, organizations can maintain data quality, facilitate data governance, and enhance data discovery capabilities. The other options do not accurately reflect what metadata represents. Raw numeric data refers to unprocessed facts or figures without context or description. A fictional dataset suggests a made-up collection of data that does not provide any additional information or context. Data representing leadership roles pertains to specific job functions or titles and does not align with the descriptive role that metadata plays in relation to other data.

The key characteristic of metadata is that it is data that describes other data. This means that metadata provides context or additional information about a dataset, making it easier to understand, manage, and locate. For example, metadata can include details such as the source of the data, the format it comes in, how frequently it is updated, and its structure or schema.

Metadata plays a crucial role in data management because it helps users interpret the data correctly and ensures that the data can be used effectively for analysis and decision-making. By knowing the characteristics of the data through its metadata, organizations can maintain data quality, facilitate data governance, and enhance data discovery capabilities.

The other options do not accurately reflect what metadata represents. Raw numeric data refers to unprocessed facts or figures without context or description. A fictional dataset suggests a made-up collection of data that does not provide any additional information or context. Data representing leadership roles pertains to specific job functions or titles and does not align with the descriptive role that metadata plays in relation to other data.