dataaineistona
Dataaineistona is a conceptual framework in information architecture that describes a multi-layered approach to storing, linking, and governing datasets. It emphasizes provenance, interoperability, and modular design, enabling combined reuse of data across domains while maintaining controlled access and traceable history.
Origin and scope: The neologism dataaineistona arose in Finnish data science discourse in the 2010s, formed
Core components: A dataaineistona architecture typically comprises multiple storage layers (raw, curated, published), each with explicit
Applications: It is used in research data repositories, public portals, and cross-institution collaborations where data needs
Limitations and reception: Critics note complexity, higher initial setup costs, and tooling fragmentation. Adoption requires mature
See also: Data governance, Data lineage, Data catalog, Data mesh.