identifiersagain

Identifiersagain is a term used in discussions of data identity management to describe systems and practices for managing persistent identifiers across changing data landscapes. It refers to mechanisms that keep references to real-world entities stable even as attributes, schemas, or storage technologies evolve.

The core idea is to separate the reference key from the data it points to, enabling long-lived references while allowing underlying records to be updated, merged, or decommissioned. Identifiersagain emphasizes lifecycle management, including creation, reassignment, deprecation, and revocation, as well as strategies for resolving identifier collisions and ensuring traceability.

Key components commonly associated with identifiersagain include an identifier registry (centralized or federated), a mapping layer to translate identifiers from different sources, and governance policies that define reuse rules, versioning, and access controls. Privacy-preserving options may feature reversible or non-reversible mappings, cryptographic hashing, and audit trails to support compliance and accountability.

Typical use cases span cross-system data integration, digital libraries and scholarly metadata, healthcare data linkage under consent, supply chain tracing, and machine learning datasets requiring stable references across experiments and releases. The approach supports data interoperability while enabling controlled updates and provenance tracking.

Implementers must consider governance, standards alignment (such as UUIDs, DOIs, or other persistent-identifier schemes), performance, and collision handling. Challenges include synchronization latency, schema migrations, policy conflicts, and balancing identifier longevity with privacy and security requirements. Related concepts include persistent identifiers, data linkage, and privacy-preserving record linkage.