Data lineage
The map of a piece of data's journey: where it comes from, which systems it passes through, what transformations it undergoes and where it ends up.
Data lineage describes the path a piece of data takes from its origin to its final use. For example: the sales figure in a report comes from the ERP, goes through a process that cleans it and converts it to euros, is aggregated in a data warehouse and ends up in a dashboard and a forecasting model.
It serves three very practical purposes: knowing who is affected by a change before making it; finding the source of an error when a number does not add up; and proving to an auditor or authority where the data in a regulatory report or AI model comes from.
The AI Act requires documenting the origin and preparation of training data for high-risk systems, and the GDPR requires knowing where personal data is: in both cases, lineage is the tool.
Reference: Art. 10.2 AI Act
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← Back to the glossaryUpdated: October 2026 · Informational content, not legal advice.