Data lineage and provenance
Data and Privacy
What is data lineage and provenance?
Traces where data came from, what transformed it, who owns each hop and where it flows downstream, so a number can be defended.
Where the frameworks place it: EU AI Act Article 10; NIST AI RMF MAP 4.
The interview question it draws
Trace the lineage of a training dataset back to its source. What do you record, and what breaks when you cannot?
A strong answer walks through the practice itself, with one real case, what you decided, and what the evidence showed afterwards.
Roles that ask for it
- Privacy Analystcore, working knowledge
- AI Privacy Engineercore, depth expected
- Data Governance Leadcore, depth expected
- Chief Data Officer, data leadership editioncore, depth expected
- Third-Party AI Risk Analystrequired, working knowledge
- AI Auditorrequired, working knowledge
Backgrounds that already carry it
- Privacy and data protection (shown by a work product)
Data maps and records of processing are lineage by another name.
- Data analysis, stewardship and business intelligence (shown by a work product)
Source-to-report lineage is what you trace.
- A data science, statistics or analytics degree (described, not yet shown)
Lineage and provenance are known ideas, rarely yet documented for an auditor.
Where it is taught and graded
6 graded topics, each passed by explaining it back. The first module of every program is free with a free account.
- Module 1: The Estate Survey (2)
- Module 5: Poison, Leaks, and the Adversary (1)
- Module 8: Lineage Under Audit (1)
- Module 2: Data Reality (2)
Questions
- What is data lineage and provenance?
- Traces where data came from, what transformed it, who owns each hop and where it flows downstream, so a number can be defended.
- Which AI governance roles ask for data lineage and provenance?
- 6 roles on the map name it, and it is core to Privacy Analyst, AI Privacy Engineer, Data Governance Lead, Chief Data Officer, data leadership edition.
- How do I learn and prove data lineage and provenance?
- 6 graded topics teach it across 2 programs. Each topic is graded by explaining it back against its own transcript, so a pass is evidence, not attendance. The first module of every program is free with a free account.
- What interview question tests data lineage and provenance?
- Trace the lineage of a training dataset back to its source. What do you record, and what breaks when you cannot? A strong answer shows the practice itself: Traces where data came from, what transformed it, who owns each hop and where it flows downstream, so a number can be defended.