data-trust

A Single place to Discover, Collaborate, and Get your data right

Data Trust Engineering (DTE) is a vendor-neutral, engineering-first approach to building trusted, Data, Analytics and AI-ready data systems. This repo hosts the Manifesto, Patterns, and the Trust Dashboard MVP.

An elegant, opinionated framework for deploying BrightHive Data Resources with zero coding.

Collection of Data Science Projects for Workshops and Speaking Engagements.

Weighted, progressive certification framework for Foundational Data Products™. Eight dimensions, 24 criteria scored 0–100, Bronze/Silver/Gold levels, and a trust profile that travels with the product to every consumer, including AI agents. Part of the Foundeon methodology.

Curated data quality and trust patterns focused on ensuring reliability, consistency, and confidence in analytics and decision-making systems.

A data retrieval system that tracks data provenance and transformations

Open standard and Python toolkit for AI-ready, traceable, and auditable documents. GalloDoc turns raw data into structured, verifiable decision artifacts.

A fruit fly's brain beat Claude, GPT-5, Grok and Gemini at judging health records. Code, data and paper for SuperTruth's connectome study: the MaleCNS v1.0 fly nervous system held fixed and trained to reproduce the Data Trust Index on synthetic health records, against five controls. Pre-registered, published win or lose. DOI 10.5281/zenodo.22865215

Decube — independent third-party profile of a public API surface, by API Evangelist. Decube is a unified data trust platform that combines data observability, discovery, cataloging, and governance for regulated industries such as banking, financial services, insurance, and telecom.