dataseatus

Dataseatus is a term used in data governance to describe the current status of a data asset within a data catalog or lineage system. It conveys whether the data is available for use, its quality level, and who is responsible for it. The concept applies to datasets, tables, columns, and data products, and helps data teams manage the data supply chain.

Dataseatus is not a fixed standard; it is a descriptive label that can be defined differently across organizations but generally aligns with stages in a data asset lifecycle.

Typical lifecycle states include: draft, in_review, validated, published, deprecated, and archived. Some implementations add available, restricted, or error as sub-statuses. Transitions between states are governed by policy, quality checks, and approvals from data stewards or owners.

Dataseatus is determined by criteria such as completeness, accuracy, timeliness, consistency, and provenance, as well as lineage visibility and access controls. Automated quality checks, metadata fields, and manual reviews contribute to the current status, which is usually stored in a metadata catalog. A dataseatus value may be accompanied by a quality score or confidence indicator in some systems.

In practice, dataseatus guides data consumers and systems by signaling readiness for use, scheduling data pipelines, and enforcing access restrictions. It is a core element of governance programs and is supported by data catalogs, metadata management tools, and data lineage platforms. For instance, a dataset in a data catalog might be marked with dataseatus as published, indicating it is approved for consumption.

Related concepts include data governance, data catalog, data quality, data lineage, and data stewardship.