Metadata
Data that describes other data, such as its structure, meaning, source, owner, sensitivity, freshness and lineage. Metadata is what allows people and software to understand whether a dataset can be trusted and how it may be used.
Why it matters
Governance, cataloguing, access control and AI retrieval all depend on metadata. A document store without reliable metadata cannot enforce permissions on retrieval; a warehouse without it cannot tell users which table is authoritative.
The practical challenge is keeping metadata accurate. Capturing it automatically from pipelines, schemas and access logs is far more reliable than asking people to maintain it by hand.
In practice
For example, a professional services firm building an internal search assistant might tag every document with client confidentiality level, practice area, author and review date. The retrieval layer can then filter by the user’s permissions and prefer current guidance over superseded versions.
Where Rodan fits
Rodan captures metadata as a by-product of the pipelines and AI systems it builds through Data and Analytics Engineering, so it stays current without separate documentation effort.