Data Practice
What’s New? ✨
Section titled “What’s New? ✨”
Guides for Responsible Data Use
NewUse and share data safely. Includes AI Privacy, Anonymisation, Synthetic Data, Differential Privacy.
vowl
NewValidation engine for ODCS data contracts. Define your validation rules in a YAML data contract and get actionable reports on your data's quality.
SynthSite
NewPrivacy-Aware Synthetic Video Benchmarking for Worker-Under-Suspended-Load Detection
Highlights
Section titled “Highlights”
Behind Singapore Government's Data Engineering | #GovTechDecoded Ep 7
🤖 From chatbots answering your queries to digital services that just work, AI and data play a huge role behind the scenes. But how do we ensure they...
STACK Meetup - Data Standards That Scale: Engineering Data Quality You Can Trust
Join STACK Meetup [Data] for a session on engineering data quality you can trust.
STACK Meetup - Data Standards that Scale: Engineering Effective Data Platforms
In this STACK Meetup, hear from the GovTech’s Data Practice and SG Gov teams on how data platforms are engineered to optimise the sharing of data sets...
Events
Section titled “Events”![STACK Meetup [Data]](/_astro/stack_meetup_data_logo.BG7JVWg6_Z1H9QYI.webp){kind=logo}
Frameworks, Guides and Playbooks
Section titled “Frameworks, Guides and Playbooks”
AI Privacy
Identify, measure, and mitigate privacy risks across Data, Model, and Application layers of AI.
Synthetic Data Generation
Generate privacy-preserving synthetic datasets that retain the statistical attributes of real data, where real data is too sensitive or not available.
Differential Privacy
Inject calibrated noise into data to provide mathematically provable privacy guarantees while preserving analytical utility.
CRISPr Framework
A structured framework that addresses the complexities of designing, implementing, and monitoring data pipelines.
CRISPr Implementation Guide
A collection of technical guides that are based on proven use cases and approaches, offering detailed, step-by-step instructions to deploy reusable...
Data Engineering Initiative Playbook
This data engineering initiatives playbook is designed as a comprehensive guide for organisations embarking on their data engineering journey.
Research & Articles
Section titled “Research & Articles”Data & AI
Section titled “Data & AI” SynthSite
Privacy-Aware Synthetic Video Benchmarking for Worker-Under-Suspended-Load Detection
SLENDER: Structured Outputs for SLM-based NER in Low-Resource Englishes
Nicole Ren, James Teo. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track). 2025.
Data Engineering in the Age of AI: New Horizons in Data Discovery
Data Engineering in the Age of AI: New Horizons in Data Discovery
Building Fill.sg, a GenAI Report Toolkit
FulFILL your dreams of having AI write repetitive reports for you. Find out how we built Fill.sg in 2 weeks at LAUNCH!
Applied LLM Quantisation with AWS Sagemaker | Analytics.gov
Host production-ready LLMs endpoints at twice the speed but one fifth the cost.
Agency Engagements
Section titled “Agency Engagements”
The Unsung Hero: How data engineering powers insights for public health in Singapore
The Unsung Hero: How Data Engineering Powers Insights for Public Health in Singapore
Productionising LLMs and ML Models with Analytics.gov: MOM’s Journey into AI Solution Deployment
Shoutout to our co-contributors for this article: MOM Forward Deployed Team (Barry Tng, Ethan Mak, Joel Koo), and Container Stack team…
Empowering Public Officers: A Data Engineering Masterclass for the Public Service
Get insights from the inagural Data Engineering Masterclass!
Accelerating Machine Learning and AI impact with MLOps on Analytics.gov
Introduction to Analytics.gov
Internship Stories
Section titled “Internship Stories”
My Internship Journey in DSAID-DE @ Cloak — The Central Privacy Toolkit
Hello everyone! I’m Sean, a final-year computer science major at Nanyang Technological University.
GovTech enCRYPT — Free-text Anonymisation
The Central Privacy-Preserving Toolkit (enCRYPT)
Unleash Data Potential @ Analytics.gov — My Experience as a Software Engineer Intern
Hi everyone! 😀 I’m Pun Pun, a third-year Computer Science student at the National University of Singapore (NUS).
My Internship at DSAID-DE - Data Infrastructure as a Box
The COVID-19 pandemic accelerated digital transformation across all sectors in Singapore, including the public sector. Many businesses had to adapt to...