Data that Shapes the Future. Ethically.
The Ethical Data Access Project (EDAP) is Canada’s first AI-focused data digitization, cleansing, and licensing initiative, built for the next era of safe, inclusive, and transparent artificial intelligence.
Data Curation
Preserving underrepresented knowledge for future generations. We identify, organize, and ethically license data that would otherwise be lost, cultural records, analog archives, and non-digitized content with high AI-training potential.
Bias-Aware Cleaning
More than digitization, it’s ethical preservation. Our cleaning process is guided by cultural sensitivity, historical accuracy, and bias-reduction protocols. We don’t just preserve data, we protect the stories behind it.
AI-Ready Structuring
From raw records to structured intelligence. We transform legacy data into formats ready for AI model training, ensuring ethical clarity and contextual depth that commercial datasets often lack.
Why Now?
The AI data pool is drying up.
The internet is no longer enough. AI models are scraping the same data over and over again, leading to stagnation, hallucinations, and algorithmic collapse.
EDAP exists to unlock new, clean, and ethically sourced datasets, built from the ground up.
Your next model deserves better training data.
Work with EDAP to ethically source and license datasets that actually reflect the world you’re building for.
About EDAP
What is EDAP?
The Ethical Data Access Project is a Canadian initiative created under the Foundation for Ethical AI. We identify, clean, and curate overlooked, underrepresented, or non-digitized datasets, ensuring future AI systems are built on inclusive, accurate foundations.