Guides

🎓 Synthetic Data Binder

Synthetic data mimics real datasets without exposing personal records. It helps agencies share and test data safely while protecting privacy. This guide walks through key steps for a pilot: setting goals, defining datasets, addressing IT and legal needs, and communicating with stakeholders.

👉 Download the PDF binder here

🎓Fake Data vs. Synthetic Data Explainer

This document details the difference between fake and synthetic data–often confused terms, and with good reason. It compares the two data types across their development processes, uses, and disclosure risks.

👉 Download the PDF binder here

🎓Quick Improvements to Data Privacy

This publication describes simple strategies to increase data privacy for leaders of smaller CBOs and government agencies. The goal is to spur conversation around which safeguards will help reduce key privacy risks while balancing infrastructure and mission needs.

👉Read the Strategies here