Maintaining information about data origin, structure and definitions to support informed decision-making describes which data discipline?

Maintaining information about data origin, structure and definitions to support informed decision-making describes which data discipline?

• A. Data Strategy
• B. Metadata Management
• C. Data Provenance
• D. Data Quality

Answer: (B)

Maintaining information about data origin, structure and definitions describes metadata management. Metadata are the descriptive details that tell you what a data asset is, where it comes from, how it’s organized, and what each element means. By capturing and governing this information in metadata repositories, data dictionaries, schemas, lineage maps, and business glossaries, organizations can discover data, understand its context, and use it correctly to support decision-making. Data strategy is about planning and guiding how an organization uses data, not the day-to-day handling of descriptive data about other data assets. Data quality focuses on how accurate, complete, and reliable the data is, rather than documenting its origins and structure. Data provenance concerns the origin and history of data, which overlaps with metadata, but metadata management is the broader discipline that encompasses origin, structure, definitions, and other contextual details across all data assets.

Maintaining information about data origin, structure and definitions describes metadata management. Metadata are the descriptive details that tell you what a data asset is, where it comes from, how it’s organized, and what each element means. By capturing and governing this information in metadata repositories, data dictionaries, schemas, lineage maps, and business glossaries, organizations can discover data, understand its context, and use it correctly to support decision-making.

Data strategy is about planning and guiding how an organization uses data, not the day-to-day handling of descriptive data about other data assets. Data quality focuses on how accurate, complete, and reliable the data is, rather than documenting its origins and structure. Data provenance concerns the origin and history of data, which overlaps with metadata, but metadata management is the broader discipline that encompasses origin, structure, definitions, and other contextual details across all data assets.