ISOtaset

ISOtaset is a term used in various technical and research communities to denote a dataset standard or a standard-like collection of data intended to be aligned with ISO practices. It does not refer to a single formal ISO specification, and its meaning can vary by domain or project.

Etymology and scope: The name blends ISO, referring to the International Organization for Standardization, with dataset, signaling an emphasis on interoperability, documentation, and reproducibility. The exact scope of ISOtaset ranges from data schemas and metadata models to validation procedures and quality controls, with domain-specific extensions common in practice.

Characteristics: Common features of projects described as ISOtaset include machine-readable data formats, rich and structured metadata, version control, and hooks for interoperability with ISO-style governance. Projects often stress traceability, data quality, privacy considerations, and clear licensing to support reuse and auditability.

Governance and adoption: There is no single universal authority governing ISOtaset; governance is typically project-specific. Where possible, efforts aim to align with broader ISO or IEC standards, but adoption varies between communities. ISOtaset implementations may be voluntary or part of formal consortium efforts to improve data interoperability.

Applications: ISOtaset concepts are used for benchmarking machine learning models, enabling data exchange between organizations, and supporting reproducibility in scientific research. They help clarify provenance, licensing, and stewardship, facilitating clearer expectations around data use and interoperability across systems.

See also: ISO standards, data standardization, dataset formats, metadata schemas, benchmarking datasets.