Skip to main content
Praxikon
Back to the explorer
StandardGuidancev1.0.0

ISO/IEC 5259 series: data quality for analytics and machine learning

The five-part international series on data quality, in practice the most usable structure for the Article 10 data governance dossier.

The official source remains authoritative. This is general information about obligations and not legal advice. See this object on the map

Address and citation

This object has an address of its own that is never renamed or reused. Store the identifier in your own file, not the title or the link.

Identifier
praxikon:eu:ai-act:standard:standard-iso-iec-5259-data-quality-machine-learning
Payload hash (sha256)
9fcb6844fee38f7cddc5546b1fc8835cbf284965148c69abc788b201cb2c685e

Citation line

Praxikon, "ISO/IEC 5259 series: data quality for analytics and machine learning", praxikon:eu:ai-act:standard:standard-iso-iec-5259-data-quality-machine-learning@1.0.0, dataset praxikon:sys:registry:dataset:ai-act-implementation-graph 2.1.0 (schema 1.4.0), effective_at 2026-08-08T00:00:00.000Z, known_at 2026-08-14T00:00:00.000Z, sha256 9fcb6844fee38f7cddc5546b1fc8835cbf284965148c69abc788b201cb2c685e
Version
1.0.0
Legal time (effective_at)
8 August 2026
Knowledge time (known_at)
8 August 2026
Closed on
Not closed
Topics
standards

Review status: Placed against the official source (8 August 2026). Next check due by 4 February 2027. The check date is the knowledge date of this version; no later recheck has been recorded.

What this object links to

Every relation appears below as a path: from the source with its locator, through the conditions and exceptions of the object carrying the relation, to the consequence. A locator belongs to a statement in the data and not to a relation, so the source is the source anchor of the carrying object.

The obligation this hangs off

1 of 1 shown

The object belongs to this obligation. The source line it hangs off sits there.

  1. Source

    Official fact on this object, with its locator.

    • ISO/IEC JTC 1/SC 42: international standards for artificial intelligence

      Locator: ISO/IEC 5259 series, ISO/IEC JTC 1/SC 42

      praxikon:eu:ai-act:source:iso-iec-jtc1-sc42

      Open official source
    • EU Artificial Intelligence Act 2024/1689

      Locator: Article 10

      praxikon:eu:ai-act:source:reg-eu-2024-1689

      Open official source

    Via

    No condition or exception recorded on this object.

    Consequence

What this object is about

1 of 1 shown

The object is about this role. Undifferentiated: it does not follow that the duty rests on this role.

  1. Source

    Official fact on this object, with its locator.

    • ISO/IEC JTC 1/SC 42: international standards for artificial intelligence

      Locator: ISO/IEC 5259 series, ISO/IEC JTC 1/SC 42

      praxikon:eu:ai-act:source:iso-iec-jtc1-sc42

      Open official source
    • EU Artificial Intelligence Act 2024/1689

      Locator: Article 10

      praxikon:eu:ai-act:source:reg-eu-2024-1689

      Open official source

    Via

    No condition or exception recorded on this object.

    Consequence

What this object states

Official fact

Attributable to a named primary source, with a locator. Where they differ, the official source prevails.

  • The ISO/IEC 5259 series (Artificial intelligence: Data quality for analytics and machine learning) comprises five parts: part 1 (overview, terminology and examples), part 2 (data quality measures), part 3 (data quality management requirements and guidelines) and part 4 (data quality process framework), all published in 2024, plus part 5 (data quality governance framework), published in February 2025. CEN-CENELEC has adopted parts as European standards, including EN ISO/IEC 5259-4:2025 and EN ISO/IEC 5259-3:2025. No part is cited in the Official Journal, so no presumption of conformity under Article 40 arises. The deliverable intended to do so for Article 10 is prEN 18284.

Our interpretation

Our own reading. It can change without the law changing, and it is not the position of a supervisory authority.

  • This is currently the most concrete help available for Article 10, because part 2 actually makes data quality measurable rather than merely discussing it. What it is not: coverage of Article 10. The regulation asks for things the series does not address, such as examination for possible bias with a view to fundamental rights and representativeness for the specific intended user population in the EU. A dataset scoring well on every 5259 measure can still structurally under-represent a population group.

Recommended step

A practical step we consider appropriate. Not an obligation following from the Regulation.

  • Use part 2 to fix a small number of hard quality measures per dataset and part 4 to describe the process that maintains them. Add two AI Act fields the series does not cover: representativeness for the intended user population, and the outcome of the bias examination with the measures taken. Retain the measurement results per dataset version, not only for the latest version.

When this applies

No condition recorded on this object.

When this does not apply

No exception recorded on this object.

Referring to this object

Citation block

Copy this reference into your advice, article or file. The identifier, the version and the hash keep the statement findable later, even once the dataset has moved on.

Reference

Praxikon, "ISO/IEC 5259 series: data quality for analytics and machine learning",
praxikon:eu:ai-act:standard:standard-iso-iec-5259-data-quality-machine-learning@1.0.0,
dataset praxikon:sys:registry:dataset:ai-act-implementation-graph 2.1.0 (schema 1.4.0),
effective_at 2026-08-08T00:00:00.000Z, known_at 2026-08-08T00:00:00.000Z,
sha256 9fcb6844fee38f7cddc5546b1fc8835cbf284965148c69abc788b201cb2c685e,
https://www.praxikon.com/en/verkenner/standard/standard-iso-iec-5259-data-quality-machine-learning
(https://www.praxikon.com/api/v1/entities?id=praxikon%3Aeu%3Aai-act%3Astandard%3Astandard-iso-iec-5259-data-quality-machine-learning&effective_at=2026-08-08&known_at=2026-08-08&lang=en, accessed 2026-08-25)

Short form

praxikon:eu:ai-act:standard:standard-iso-iec-5259-data-quality-machine-learning@1.0.0 (sha256 9fcb6844)

BibTeX

@misc{praxikon-eu-ai-act-standard-standard-iso-iec-5259-data-quality-machine-learning-1-0-0,
  author       = {{Praxikon}},
  title        = {ISO/IEC 5259 series: data quality for analytics and machine learning},
  year         = {2026},
  version      = {1.0.0},
  number       = {praxikon:eu:ai-act:standard:standard-iso-iec-5259-data-quality-machine-learning},
  howpublished = {AI Act Change \& Evidence Graph, dataset 2.1.0, schema 1.4.0},
  note         = {effective_at 2026-08-08T00:00:00.000Z; known_at 2026-08-08T00:00:00.000Z; sha256 9fcb6844fee38f7cddc5546b1fc8835cbf284965148c69abc788b201cb2c685e},
  url          = {https://www.praxikon.com/en/verkenner/standard/standard-iso-iec-5259-data-quality-machine-learning},
  urldate      = {2026-08-25},
  language     = {en}
}

CSL JSON

[
  {
    "id": "praxikon:eu:ai-act:standard:standard-iso-iec-5259-data-quality-machine-learning@1.0.0",
    "type": "dataset",
    "title": "ISO/IEC 5259 series: data quality for analytics and machine learning",
    "container-title": "AI Act Change & Evidence Graph",
    "publisher": "Praxikon",
    "version": "1.0.0",
    "number": "praxikon:eu:ai-act:standard:standard-iso-iec-5259-data-quality-machine-learning",
    "URL": "https://www.praxikon.com/en/verkenner/standard/standard-iso-iec-5259-data-quality-machine-learning",
    "language": "en",
    "issued": {
      "date-parts": [
        [
          2026,
          8,
          8
        ]
      ]
    },
    "accessed": {
      "date-parts": [
        [
          2026,
          8,
          25
        ]
      ]
    },
    "note": "dataset praxikon:sys:registry:dataset:ai-act-implementation-graph 2.1.0; schema 1.4.0; effective_at 2026-08-08T00:00:00.000Z; known_at 2026-08-08T00:00:00.000Z; sha256 9fcb6844fee38f7cddc5546b1fc8835cbf284965148c69abc788b201cb2c685e; retrieved_from https://www.praxikon.com/api/v1/entities?id=praxikon%3Aeu%3Aai-act%3Astandard%3Astandard-iso-iec-5259-data-quality-machine-learning&effective_at=2026-08-08&known_at=2026-08-08&lang=en; licence https://www.praxikon.com/nl/legal/terms"
  }
]

How to verify a reference later is set out in the methodology. Terms

For agents and integrations

This page and the machine output come from the same object and the same two time axes.