hooldatav

Hooldatav is a term encountered in discussions about data architecture and information systems. It does not refer to a single formal standard, but rather to a family of concepts used to describe approaches for organizing and describing data across diverse sources.

Typically described as a modular data model and metadata framework, hooldatav emphasizes interoperability, traceable provenance, time-stamped observations, and privacy-preserving features. Proponents argue that it supports combined analysis of structured, semi-structured, and streaming data while maintaining clear lineage and governance.

Its core components are a core schema for entities and events, a metadata registry, adapters or connectors to external data sources, validation and transformation rules, and a versioned data catalog. Implementations commonly rely on open formats such as JSON or Parquet and on lightweight ontologies to enable cross-source querying.

Adoption is informal and scattered, with references found in academic discussions, technical blogs, and prototype repositories. There is no universally accepted specification, and practical deployments vary in scope and rigor. Critics note the potential for overengineering and the challenge of achieving consensus among diverse data domains.

The concept remains largely exploratory, serving as a reference point for discussions about data integration, governance, and interoperability rather than a settled standard.