Digital provenance (sometimes called data provenance or data lineage when referring specifically to datasets) is the documented history of a digital asset or data record—how it was created, modified, shared, and used over time. Provenance records help people verify whether digital content or data is authentic, reliable, and trustworthy by showing who created it, when changes occurred, and whether it has been altered.

Provenance can be captured through secure metadata, cryptographic signatures, audit logs, or—in some cases—blockchain systems that create tamper-resistant records. While blockchain can strengthen provenance, it is not required; the core purpose of digital provenance is to make the origins and lifecycle of digital information transparent for verification and trust.

In the learn-and-work ecosystem, provenance is particularly important for digital credentials, Learning and Employment Records (LERs), workforce data, and research datasets. It allows educational institutions, employers, and learners to understand and verify the origin, lifecycle, and integrity of information.

Provenance and verification are related terms: provenance is the historical evidence that shows an asset’s origin and transformations; verification is the process of checking that evidence to confirm authenticity.

See Topic Brief: Digital Provenance | Learn & Work Ecosystem Library