ISO 42001 A.7: Data for AI systems
Data quality, provenance, preparation
AIGE-OBL-ISO42001-A7. Drawn from chapter 08.
Text alternative
- Clause: ISO 42001, A.7.
- Duty holder: Not stated.
- Applies from: No date, Voluntary.
- Artefact: Data cards.
- Layers: Layer 02, Layer 03.
- Evidence record: Dataset admission record, +1 more.
- Record schemas: Dataset admission record , Dataset card .
- The same topic in 19 other frameworks; the crosswalk section below links each clause.
- Id
AIGE-OBL-ISO42001-A7- Instrument
- ISO/IEC 42001 standard
- Compared side by side
- ISO 42001 vs EU AI Act · NIST AI RMF vs ISO 42001
- Clause
- A.7
- Applies from
- No date Voluntary · Voluntary management-system standard (2023); no presumption of conformity
The artefact that evidences it
Data cards; lineage; data quality tests.
Data table: every relation
| Family | Item | Relation |
|---|---|---|
| Patterns | Dataset Admission Gate | Direct |
| Patterns | Rights Requests Against Models | Direct |
| Patterns | Training-Data Rights Ledger | Direct |
| Open controls | AIGE-CTL-DATA-001 Dataset Admission Gate at Read Time | Direct |
| Open controls | AIGE-CTL-DATA-002 Dataset Card for Every Admitted Version | Direct |
| Open controls | AIGE-CTL-DATA-008 Fitness-for-Purpose Checks Before Admission | Direct |
| Open controls | AIGE-CTL-DATA-010 Lineage from Training Runs to Admitted Sources | Direct |
| Same crosswalk topic | AI Verify 8.1.1, 8.2.1, 8.3.1, 8.3.2, 1.4.1 | Core clause |
| Same crosswalk topic | CSA AICM DSP-20, DSP-21, DSP-08, DSP-22 | Core clause |
| Same crosswalk topic | China Deep Synthesis DeepSyn Art. 14 | Core clause |
| Same crosswalk topic | China GenAI Measures GenAI Art. 7, GenAI Art. 8, GenAI Art. 11, GenAI Art. 7(3) | Core clause |
| Same crosswalk topic | CoE Convention CoE Art. 11 | Core clause |
| Same crosswalk topic | EU AI Act Art. 10, Art. 10(2)(f)–(g), Art. 4a, Art. 53, Art. 53(1)(c), Art. 5(1)(e), Art. 59 | Core clause |
| Same crosswalk topic | GAO AI Accountability 2.1, 2.2, 2.4, 2.5, 2.8 | Core clause |
| Same crosswalk topic | GB/T 45654 GB/T 45654 Corpus security | Core clause |
| Same crosswalk topic | GDPR Art. 5(1)(c), Art. 25, Art. 9, Art. 5, Art. 6, Art. 35 | Core clause |
| Same crosswalk topic | NIST AI RMF MAP 2, MEASURE 2.10, MEASURE 2.11 | Core clause |
| Same crosswalk topic | OWASP LLM LLM05:2026, LLM02:2026 | Core clause |
| Same crosswalk topic | Singapore GenAI GenAI 2 | Core clause |
| Same crosswalk topic | TC260 Framework 3.0 TC260 2.1.3, TC260 5.1 | Core clause |
| Same crosswalk topic | UK ATRS ATRS 2.4.3 | Core clause |
| Same crosswalk topic | G7 Code G7 Action 11 | Related clause |
| Same crosswalk topic | GPAI Code Copyright 1.1–1.5 | Related clause |
| Same crosswalk topic | ISO 42001 A.4 | Related clause |
| Same crosswalk topic | OECD AI Principles OECD 1.2 | Related clause |
| Same crosswalk topic | UK DUAA UK GDPR Art. 22B | Related clause |
Patterns that build it
- Training-Data Rights Ledger (layer 2)
- Dataset Admission Gate (layer 1 and 2)
- Rights Requests Against Models (layer 2 and 5)
The same topic in other frameworks
From the topic crosswalk: the clauses filed under the same topics as this one. Mappings are illustrative, not a claim of conformity.
Data governance
- EU AI Act Art. 10 Data and data governance (core)
- TC260 Framework 3.0 TC260 2.1.3 Data safety risks (core)
- China GenAI Measures GenAI Art. 7 Training-data lawful sourcing (core)
- China GenAI Measures GenAI Art. 8 Data-annotation standards (core)
- China GenAI Measures GenAI Art. 11 Protection of user input and records (core)
- China Deep Synthesis DeepSyn Art. 14 Training-data management (core)
- GB/T 45654 GB/T 45654 Corpus security Training-corpus (data) security requirements (core) (clause not verified)
- EU AI Act Art. 10(2)(f)–(g) Examination for possible biases; measures to detect, prevent and mitigate them (core)
- GDPR Art. 5(1)(c) Data minimisation (core)
- GDPR Art. 25 Data protection by design and by default (core)
- CSA AICM DSP-20 Data Provenance and Transparency (core)
- UK ATRS ATRS 2.4.3 Development data specification (core)
- Singapore GenAI GenAI 2 Data (core)
- GAO AI Accountability 2.1 Sources: document sources and origins of data used to develop the models (core)
- GAO AI Accountability 2.2 Reliability: assess reliability of data used to develop the models (core)
- AI Verify 8.1.1 Data Governance: put in place measures to ensure data quality over time (core)
- AI Verify 8.2.1 Data Governance: understand the lineage of data (origin, collection, curation, movement) through a data provenance record (core)
- EU AI Act Art. 4a Special-category data for bias detection
- ISO 42001 A.4 Resources for AI systems
- NIST AI RMF MAP 2 MAP 2: Categorization of the AI system is performed
- NIST AI RMF MEASURE 2.10 MEASURE 2.10: Privacy risk of the AI system is examined and documented
- NIST AI RMF MEASURE 2.11 MEASURE 2.11: Fairness and bias are evaluated and results are documented
- TC260 Framework 3.0 TC260 5.1 Model R&D safety guidelines
- EU AI Act Art. 53 Obligations for providers of general-purpose AI models
- EU AI Act Art. 53(1)(c) Copyright policy, including rights reservations
- EU AI Act Art. 5(1)(e) Prohibited: untargeted scraping of facial images
- GPAI Code Copyright 1.1–1.5 Commitment 1: Copyright policy (Measures 1.1 to 1.5)
- GDPR Art. 9 Processing of special categories of personal data
- CSA AICM DSP-21 Data Poisoning Prevention & Detection
- OWASP LLM LLM05:2026 Data and Model Poisoning
- GAO AI Accountability 2.4 Variable selection: assess data variables used in the AI component models
- GAO AI Accountability 2.5 Enhancement: assess the use of synthetic, imputed, and/or augmented data
Privacy and data protection
- GDPR Art. 5 Principles relating to processing of personal data (core)
- GDPR Art. 6 Lawfulness of processing (core)
- GDPR Art. 25 Data protection by design and by default (core)
- NIST AI RMF MEASURE 2.10 MEASURE 2.10: Privacy risk of the AI system as identified in the MAP function is examined and documented (core)
- CSA AICM DSP-08 Data Privacy by Design and Default (core)
- OWASP LLM LLM02:2026 Sensitive Information Disclosure (core)
- CoE Convention CoE Art. 11 Privacy and personal data protection (core)
- China GenAI Measures GenAI Art. 7(3) Consent or another lawful basis for personal information in training data (core)
- China GenAI Measures GenAI Art. 11 Protection of user input and records (core)
- GAO AI Accountability 2.8 Security and privacy: assess data security and privacy for the AI system (core)
- AI Verify 8.3.1 Data Governance: data protection, consent, collection, use, withdrawal and retention comply with regulatory requirements or industry standards (core)
- AI Verify 8.3.2 Data Governance: detect personal or sensitive data in generated output and apply anonymisation and privacy-enhancing technologies (core)
- EU AI Act Art. 59 Further processing of personal data in the AI regulatory sandbox
- EU AI Act Art. 4a Special-category data for bias detection
- GDPR Art. 35 Data protection impact assessment
- CSA AICM DSP-22 Privacy Enhancing Technologies
- UK DUAA UK GDPR Art. 22B Restrictions on automated decision-making
- Singapore GenAI GenAI 2 Data
- OECD AI Principles OECD 1.2 Rule of law, human rights and democratic values, including fairness and privacy
- G7 Code G7 Action 11 Implement data input measures and protect personal data and intellectual property
- AI Verify 1.4.1 Transparency: publish a privacy policy on the use of personal data in the AI system
Open controls that evidence it
Draft controls in the open control profiles that map to this row: each states a requirement and the evidence it must leave behind.
-
AIGE-CTL-DATA-001Dataset Admission Gate at Read Time (Data admission and privacy profile) -
AIGE-CTL-DATA-002Dataset Card for Every Admitted Version (Data admission and privacy profile) -
AIGE-CTL-DATA-008Fitness-for-Purpose Checks Before Admission (Data admission and privacy profile) -
AIGE-CTL-DATA-010Lineage from Training Runs to Admitted Sources (Data admission and privacy profile)
Source
Chapter 08, section ISO/IEC 42001, 42005 and 42006, checked against its sources on the review date above.
Machine-readable
- This obligation:
/api/v1/obligations/aige-obl-iso42001-a7.json - The register:
/api/v1/obligations.json· CSV - Schema and stability promise: open data and API
Cite this obligation
García Aibar, J. (2026). ISO 42001 A.7: Data for AI systems (AIGE-OBL-ISO42001-A7). In AI Governance Engineering: The Thesis & Body of Knowledge (v0.5.0). https://doi.org/10.5281/zenodo.22956197. https://aigovernanceengineer.com/obligations/aige-obl-iso42001-a7. CC BY 4.0
BibTeX
@misc{aige2026obligation,
author = {Jorge García Aibar},
title = {{ISO 42001 A.7: Data for AI systems (AIGE-OBL-ISO42001-A7)}},
howpublished = {In AI Governance Engineering: The Thesis \& Body of Knowledge},
year = {2026},
version = {0.5.0},
doi = {10.5281/zenodo.22956197},
url = {https://aigovernanceengineer.com/obligations/aige-obl-iso42001-a7},
note = {Version 0.5.0}
}