Which statement about metadata in governance is true?

Prepare for the CMPE Organizational Governance Test with flashcards and multiple choice questions, complete with hints and explanations. Get ready to excel in your exam!

Multiple Choice

Which statement about metadata in governance is true?

Explanation:
Metadata acts as the descriptive layer for data assets, capturing what the data is, where it originates, how it’s transformed, who owns it, and how it meets quality criteria. This context makes it possible to find and understand data across the organization and to assess its trustworthiness. The statement is the best because it ties together data context, lineage, ownership, and quality as the elements that enable both discovery and trust in governance. Metadata isn’t about replacing data or being limited to archives; it documents important attributes and rules that govern data quality and usage, and it supports stewardship, compliance, and data-driven decision-making. For example, a catalog entry might show the purpose of a dataset, its lineage from source systems, the data owner and steward, and quality metrics like completeness and accuracy, helping users decide whether the data fits their needs and how to handle it responsibly.

Metadata acts as the descriptive layer for data assets, capturing what the data is, where it originates, how it’s transformed, who owns it, and how it meets quality criteria. This context makes it possible to find and understand data across the organization and to assess its trustworthiness. The statement is the best because it ties together data context, lineage, ownership, and quality as the elements that enable both discovery and trust in governance. Metadata isn’t about replacing data or being limited to archives; it documents important attributes and rules that govern data quality and usage, and it supports stewardship, compliance, and data-driven decision-making. For example, a catalog entry might show the purpose of a dataset, its lineage from source systems, the data owner and steward, and quality metrics like completeness and accuracy, helping users decide whether the data fits their needs and how to handle it responsibly.

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