A 'Curation Zone' is a data architecture component used to semantically formalize source system content. This involves:
* Data Curation: The process of organizing, integrating, and enriching raw data to make it meaningful and useful.
* Semantic Formalization: Applying semantic models, ontologies, and metadata to standardize and contextualize the data.
* Data Quality Enhancement: Ensuring the data meets quality standards through cleansing and validation processes.
* Metadata Management: Capturing and managing metadata to provide context and meaning to the data.
The curation zone plays a critical role in transforming raw data into high-quality, semantically enriched information that can be effectively used for analysis, decision-making, and operational processes.
References:
* DAMA-DMBOK: Data Management Body of Knowledge, 2nd Edition.
* "Data Governance: How to Design, Deploy, and Sustain an Effective Data Governance Program" by John Ladley.