The addition of workflow to a content management system will:
Answer(s): C
The addition of workflow to a content management system is designed to automate and control processes such as document review, approval, and publishing. It ensures that documents follow a defined process, with designated roles and permissions for each stage of the workflow, thereby enabling controlled document approval and review.
The metadata structure for a content management system can be represented with a:
A metadata structure for a content management system is best represented with a data model. This model defines the relationships between various metadata elements, such as document type, author, version, and keywords, allowing for efficient data management, retrieval, and organization. A data model provides a structured framework to organize and store metadata.
A goal of metadata management is to manage data related business terminology in order to:
Answer(s): B
The goal of metadata management is to provide clear definitions and context for data, ensuring that users understand the content and can use it consistently across different systems and processes. This helps to reduce ambiguity, avoid errors, and ensure that everyone is aligned in terms of how data is interpreted and used within the organization.
Data provenance and data lineage are examples of:
Answer(s): E
Data provenance and data lineage are examples of technical metadata. They describe the origins, movement, and transformations of data as it flows through various systems and processes. This type of metadata is crucial for understanding the technical aspects of data, such as its source, transformation, and storage history, which is vital for data governance, auditing, and quality management.
By setting, enforcing and auditing metadata standards, organizations hope to:
By setting, enforcing, and auditing metadata standards, organizations aim to simplify data integration across various systems and enable easier data use. Consistent metadata standards help ensure that data is understood, organized, and accessible, facilitating its integration into different processes and applications. This leads to more efficient and accurate use of data throughout the organization.
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