Datasetcatalogi

Datasetcatalogi is a concept used to describe a catalog system that aggregates metadata about datasets across an organization or ecosystem. It serves as a centralized index to improve discovery, access, reuse, and governance of data assets. By collecting descriptions, access details, licenses, quality metrics, and provenance, datasetcatalogi helps data stewards, data scientists, and researchers locate suitable datasets and understand their provenance.

A datasetcatalogi typically stores metadata in a metadata repository and exposes it through APIs and a user interface. Its underlying data model often includes entities such as datasets, distributions, schemas, licenses, access rules, provenance, quality indicators, and keywords. To support interoperability, it may align with standards such as DCAT, DCAT-AP, and schema.org, and it can integrate with other catalogs and data catalogs via crosswalks or federated queries. Features commonly include advanced search, filtering, tagging, version history, lineage tracing, data quality scoring, and access control enforcement.

Governance aspects cover data stewardship roles, approval workflows, audit trails, licensing compliance, and data retention policies. Implementation choices vary from centralized vendor solutions to open-source catalog stacks and cloud-native services, often emphasizing scalability, security, and privacy. Use cases span data discovery for analytics, compliance reporting, data sharing within enterprises or with external partners, and support for data catalogs in open data initiatives.

Related concepts include data catalog, metadata repository, data lineage, data governance, and catalog interoperability standards.