The published international standards on data quality for machine learning, the ISO/IEC 5259 series, are general and name no robot
ISO/IEC 5259-1:2024, the first part of the data quality for analytics and machine learning series, was published in July 2024 by ISO/IEC JTC 1/SC 42, with parts 2 to 4 the same year and part 5 in 2025 per the catalog package listing. They frame data quality across the data life cycle for any machine learning use. Europe's AI standards committee, CEN and CENELEC JTC 21, lists datasets among its subjects and names no robot data item.
The verdict
Verified
The document exists. The ledger fetched it at its publisher and quotes it.
Key facts
What the sources say
- Record ID
- EAD-2026-0022
- Kind
- Data standard
- Jurisdiction
- Global
- Last verified
- Added
- ISO catalog entry 81088: ISO/IEC 5259-1:2024, status published, publication date July 2024, edition 1, 19 pages, ISO/IEC JTC 1/SC 42. The catalog's package listing bundles parts 1 to 5.
- The series covers overview and terminology, quality measures, quality management requirements, a process framework and a governance framework; none of it is written for robot recordings.
- CEN and CENELEC JTC 21's own page: its work includes standards on datasets, bias, computer vision, cybersecurity, robustness, logging and natural language processing. No robot data work item is named.
- The EU Rolling Plan for ICT Standardisation 2026 entry on robotics and autonomous systems lists no robot dataset work item.
What it changes
For a robot maker collecting or buying hours
A generic data quality standard exists and can be written into a data contract today, in any jurisdiction, but it will not tell a supplier what a good hour of manipulation data is. The robot specific answer is being written in ISO/TC 299 and in China's standards bodies, and Europe's AI standards committee is not writing one.
Sources
What this record was verified against
- ISO catalog, ISO/IEC 5259-1:2024Primary · 13 September 2026
- CEN and CENELEC, artificial intelligence topic pagePrimary · 13 September 2026
Related
Records that sit beside this one
ISO is drafting a humanoid robot datasets standard, ISO/CD 26264-1, at committee draft stage
Global · verified 13 September 2026
ISO catalog entry 93011: status under development, stage 30.60 close of comment period, edition 1, technical committee ISO/TC 299.
China has published a national guiding document on embodied AI data quality for real data, GB/Z 218.1-2026
China · verified 13 September 2026
Status on the national platform: published, effective on publication. Plan number 20252047-Z-469, registered 20 June 2025, under TC28, the national information technology standardization committee.
Open question: does a person in a training ground's footage have a say? Three regimes, three different answers, none written for robots
Global · verified 13 September 2026
GDPR and the EDPB video guidelines: footage of an identifiable person is personal data; it is biometric only when processed to identify. Workers are owed a lawful basis and information, and consent is a weak basis at work.
Open question: who owns the hours a robot records at a customer's site? Only the EU has a rule, and it is about access, not ownership
Global · verified 13 September 2026
Data Act articles 4 and 5: the user may access readily available data and have it shared with a third party; article 6(2)(e) bars the third party from a competing product. The Regulation does not use the word ownership.
Open question: do synthetic hours count? NVIDIA generated the equivalent of 6,500 human hours in eleven, and no standard says what an hour is
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NVIDIA newsroom, 18 March 2025: 780,000 synthetic trajectories, the equivalent of 6,500 hours or nine continuous months of human demonstration data, in eleven hours; a 40 percent improvement over real data alone.
The largest open supply of hours is human, not robot: Ego4D holds over 3,670 hours of first person video
Global · verified 13 September 2026
Ego4D site: over 3,670 hours of daily life activity video, 923 unique participants, 74 locations in 9 countries, released 17 February 2022.
Cite this record
Free to reuse under CC BY 4.0, with attribution. The record ID EAD-2026-0022 is permanent and is never reused.
- In a sentence
- According to the GAGE Embodied AI Data Ledger (as of 13 September 2026), the published international standards on data quality for machine learning, the iso/iec 5259 series, are general and name no robot.
- APA
- GAGE (Global Academy of Generative-AI Education). (2026). The published international standards on data quality for machine learning, the ISO/IEC 5259 series, are general and name no robot. Embodied AI Data Ledger. Retrieved 13 September 2026, from https://www.gage.academy/tools/embodied-ai-data-ledger/records/EAD-2026-0022-iso-iec-5259-data-quality-machine-learning-not-robot-specific
- MLA
- "The published international standards on data quality for machine learning, the ISO/IEC 5259 series, are general and name no robot." Embodied AI Data Ledger, GAGE (Global Academy of Generative-AI Education), 13 September 2026, https://www.gage.academy/tools/embodied-ai-data-ledger/records/EAD-2026-0022-iso-iec-5259-data-quality-machine-learning-not-robot-specific.
- Chicago
- GAGE (Global Academy of Generative-AI Education). "The published international standards on data quality for machine learning, the ISO/IEC 5259 series, are general and name no robot." Embodied AI Data Ledger. Last modified 13 September 2026. https://www.gage.academy/tools/embodied-ai-data-ledger/records/EAD-2026-0022-iso-iec-5259-data-quality-machine-learning-not-robot-specific.
- Permalink
- https://www.gage.academy/tools/embodied-ai-data-ledger/records/EAD-2026-0022-iso-iec-5259-data-quality-machine-learning-not-robot-specific
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