Data lineage
The traceable record of a dataset's origin and every system it has flowed into or fed, including any model it has trained. The lineage map built in Module 1 is the prerequisite artifact that makes the retention-state classification in Section 3C possible for any given model in an organization's estate. (see Topic 1.6)
Defined in 2 GAGE programs, which carry 2 distinct definitions of it. The wording above is taught in Certified AI Data Governance Professional (CADGP).
How each discipline defines it
The same term does different work depending on who is using it. These are the definitions as each program teaches them, unedited.
The traceable record of a dataset's origin and every system it has flowed into or fed, including any model it has trained. The lineage map built in Module 1 is the prerequisite artifact that makes the retention-state classification in Section 3C possible for any given model in an organization's estate. (see Topic 1.6)
The traceable path a record follows from where it is created, through every copy and transformation, to where the AI consumes it; without it, data cannot be fully trusted or debugged.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- Retention versus the model that memorized: deleting data a model already learned from · Consent, Purpose, and the Law of Data, Certified AI Data Governance Professional (CADGP)
- Data Landscape Audit and Quality Assessment · Diagnose the Organization, Certified AI Transformation Professional (CATP)
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.