Which of the following is one of the goals of metadata management?

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Multiple Choice

Which of the following is one of the goals of metadata management?

Explanation:
One of the primary goals of metadata management is to document and manage data terminology. This involves creating a clear understanding of the definitions, contexts, and relationships of data elements within an organization. By effectively managing metadata, organizations can ensure that all stakeholders have a consistent understanding of the data being used, which is vital for effective communication, data governance, and data quality. Documenting data terminology helps to prevent confusion and misinterpretation, as it clarifies what specific data terms mean and how they should be used across the organization. This leads to improved collaboration and more effective decision-making, as everyone relies on a common set of definitions and terminology. Additionally, well-managed metadata supports data lineage tracking, facilitates compliance with data regulations, and enhances data discovery, all of which are crucial for effective data management practices.

One of the primary goals of metadata management is to document and manage data terminology. This involves creating a clear understanding of the definitions, contexts, and relationships of data elements within an organization. By effectively managing metadata, organizations can ensure that all stakeholders have a consistent understanding of the data being used, which is vital for effective communication, data governance, and data quality.

Documenting data terminology helps to prevent confusion and misinterpretation, as it clarifies what specific data terms mean and how they should be used across the organization. This leads to improved collaboration and more effective decision-making, as everyone relies on a common set of definitions and terminology.

Additionally, well-managed metadata supports data lineage tracking, facilitates compliance with data regulations, and enhances data discovery, all of which are crucial for effective data management practices.

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