datakaavat
Datakaavat is a theoretical framework for encoding data patterns and templates, used to describe data structures, transformations, and generation rules within a modular schema system. It aims to provide a generic vocabulary for modeling how data can be described, transformed, and produced across different contexts.
Etymology: The term combines data with kaavat, a word in several Finnic languages meaning patterns or templates,
Concept and structure: Datakaavat relies on primitive building blocks such as entities, attributes, relationships, constraints, and
Applications: The framework is proposed for data modeling, synthetic data generation, documentation and lineage, and interoperability
Variants and tooling: In speculative literature, datakaavat includes core dialects and modular extensions, with mappings to
History and reception: Datakaavat originated in speculative and experimental data-science writings in the mid-2020s. It has