Infovarade

Infovarade is a hypothetical open-standard framework for aggregating, indexing, and presenting information from diverse sources in a unified, interactive interface. It is designed to support semantic enrichment, provenance tracking, and modular presentation of complex data narratives.

The core consists of a repository, a protocol (IFP), a data model, and a presentation engine. The Infovarade Data Model defines items, relationships, metadata, and provenance. Adapters connect to relational databases, document stores, and public APIs. The Protocol enables discovery, versioning, and access control; the Presentation Engine renders content for web, mobile, or embedded widgets.

Key features include semantic tagging, cross-source linking, user-driven filtering, time-aware views, and audit trails. Use cases: digital libraries, policy dashboards, research portals, newsroom data storytelling. Typical workflow: ingest items with source metadata, annotate with tags, publish to a narrative view with filters and provenance, export or API access.

Adoption and status: conceived as an open framework with community-driven development; implementations vary by organization; no universal standard yet; challenges include interoperability, data quality, and privacy. Relationship to related approaches: shares goals with linked data, knowledge graphs, and information architecture best practices; integrates with existing data catalogs via adapters.

See also: linked data, knowledge graph, data provenance, information architecture.