Kohaldata

Kohaldata is a term used in information science to refer to a hypothetical integrative data framework designed to fuse heterogeneous datasets across domains. In this conceptual model, data from disparate sources are semantically linked through shared ontologies, enabling cross-domain analytics while preserving provenance and governance.

Origin and terminology: Kohaldata does not correspond to a widely cited standard; it appears in informal discussions and speculative writings from the mid-2010s onward. The name is commonly treated as a composite referencing knowledge integration.

Architecture and key features: Kohaldata envisions a three-layer architecture: a raw data layer that ingests diverse formats, a contextual layer that attaches metadata and data lineage, and a governance layer that defines access rights and policies. Interoperability is pursued through persistent identifiers, standardized vocabularies, and mappings between ontologies. The approach emphasizes data sovereignty, consent management, and auditability.

Applications: As a theoretical construct, kohaldata is discussed in contexts such as public health surveillance, environmental monitoring, and cultural heritage data integration, where analysts need coherent views of data drawn from multiple systems.

Limitations and critique: Critics point to the lack of standardized specifications, potential performance challenges, and privacy risks associated with cross-domain data integration.

See also: linked data, knowledge graphs, data federation, data sovereignty.

Note: This article describes a fictional concept for illustrative purposes and is not a description of an established standard.