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Software Engineering
Design
Data
AI
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Programme Management
About Us
Publications
Synthetic Data
Overview
Reading Guide
Chapters
1. What is Synthetic Data?
2. Why Use Synthetic Data?
3. How to Generate Synthetic Data?
4. Quality Evaluation of Synthetic Data
5. Privacy-preserving Data Synthesis
6. Practical Data Synthesis - Quality Guidelines from Tabular Perspectives
7. LLM-Driven Data Synthesis
8. Real-World Deployments
9. Applications in the Public Sector
10. Challenges And Risks in Synthetic Data
11. Outlook And Trends
12. Conclusion
Appendix
Glossary of Terms
References
Credits and Version History
Frameworks
CRISPr
Overview
Events
STACK Meetup [Data]
Overview
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Credits and Version History
Version 1.0.0 (March 2026) - Initial release
Section titled “Version 1.0.0 (March 2026) - Initial release”
Reviewers
Section titled “Reviewers”
Prof. Mohan Kankanhalli
Prof. Xiaokui Xiao
Dr. Shlomi Hod
Prof. Anthony Tung
Yihao Ang
Personal Data Protection Commission (PDPC) Singapore