data provenance

Record Quality, Evidence & Provenance Workshop Module

A record can be easy to exchange while remaining incomplete, difficult to substantiate, or unclear about its history. This module helps partners examine selected claims, supporting evidence, transformations, and correction routes so recipients can understand what the information supports and where uncertainty remains.

Fragmented Systems & Source Responsibilities

The same workforce information can appear in several systems without a clear account of who maintains it or which version others should rely on. This module helps partners trace selected information to its sources, clarify responsibilities, and identify the connections a useful exchange actually needs.

Balancing the Promise and Peril of AI-Generated Personal Statements with UTPs.

AI can help people reflect, write, translate, and communicate—but it should never manufacture the life behind the words. Explore how truth, evidence, voice, provenance, and individual review can keep AI-supported personal statements authentic.

Why Talent Data Still Cannot Speak Across Systems: STAMP and Semantic Interoperability

Talent systems can exchange data without understanding it. Explore how STAMP approaches semantic interoperability by connecting skills with experiences, evidence, provenance, context, and external frameworks.

People Need Systems of Trust: Why Verifiable Credentials Matter to Universal Talent Passports

Verifiable credentials provide an essential foundation for Universal Talent Passports by preserving the source, integrity, status, and machine-readable meaning of trusted records. But real trust also requires evidence, issuer authority, consent, privacy, transparency, governance, and responsible human judgment.