# Manage data quality, model development and monitoring across the lifecycle

- **Record type**: Obligation
- **Instrument**: Model AI Governance Framework (Second Edition) and Model AI Governance Framework for Generative AI
- **Jurisdiction**: Singapore
- **Category**: data_governance
- **Binding**: No
- **Provision**: Second edition, Part on operations management

## In brief

Manage data quality, model development and monitoring across the lifecycle is a voluntary measure under the Singapore Model AI Governance Framework in Singapore (Second edition, Part on operations management). Covers data lineage and quality, minimising bias in datasets, model explainability, repeatability, robustness, regular tuning and active monitoring after deployment. The record carries 1 evidence example and mappings to 1 framework.

## What the duty requires

Covers data lineage and quality, minimising bias in datasets, model explainability, repeatability, robustness, regular tuning and active monitoring after deployment.

## What an organisation does about it

Maintain data lineage records and a model monitoring plan.

## Controls that meet this duty

- Accuracy, robustness, fairness and security testing (supports): https://aipolicytracker.org/controls/accuracy-robustness-security-testing
- Data governance and dataset documentation (satisfies): https://aipolicytracker.org/controls/data-governance-and-dataset-documentation
- Post-deployment monitoring and drift detection (satisfies): https://aipolicytracker.org/controls/post-market-monitoring-and-drift-detection

## Parent instrument

- Model AI Governance Framework (Second Edition) and Model AI Governance Framework for Generative AI
  - Record: https://aipolicytracker.org/policies/singapore-model-ai-governance-framework
  - Context file: https://aipolicytracker.org/policies/singapore-model-ai-governance-framework.md

## Provenance

- **Permanent id**: AIPT-OBL-0056 (https://aipolicytracker.org/id/AIPT-OBL-0056; never changes or gets reused)
- **Record page**: https://aipolicytracker.org/obligations/singapore-mgf-operations-management
- **Official source**: https://www.pdpc.gov.sg/help-and-resources/2020/01/model-ai-governance-framework
- **Provision**: Second edition, Part on operations management
- **Review status**: verified
- **Confidence**: high
- **Facts last confirmed**: 2026-09-26
- **Confirmed by**: Bhaskar Bhatt (see https://aipolicytracker.org/reviewers)
- **Retrieved**: 2026-11-08
- **Licence**: https://creativecommons.org/licenses/by/4.0/
- **Cite as**: AIPolicyTracker (2026). "Manage data quality, model development and monitoring across the lifecycle (Singapore Model AI Governance Framework)" [AIPT-OBL-0056, verified 26 September 2026 by Bhaskar Bhatt]. https://aipolicytracker.org/id/AIPT-OBL-0056 (accessed 8 November 2026).

> This record is a structured summary with a link to the official text. It is not legal advice. Open the official source before relying on any date or duty. How current each record type must be is published at https://aipolicytracker.org/verification; what a record must carry at all is published at https://aipolicytracker.org/coverage.