Assess your research data's FAIRness. Automated pipeline using F-UJI + Claude AI. Free to use.
FAIR Principles - GO FAIR
In 2016, the ‘FAIR Guiding Principles for scientific data management and stewardship’ were published in Scientific Data. The authors intended to provide guidelines to improve the Findability, Accessibility, Interoperability, and Reuse of digital assets. The principles emphasise machine-actionability (i.e., the capacity of… Continue reading →
Practical Data Ethics
Free, online course from fast.ai and USF Data Institute covering disinformation, bias & fairness, ethical foundations, practical tools, privacy & surveillance, the silicon valley ecosystem, and algorithmic colonialism
Perspective Chapter: Fit for Purpose? Creative Commons Licensing for Research Data in the Age of Artificial Intelligence
Licensing is an important component of the re-usability of research data, itself part of the FAIR principles: without clear, machine-readable licensing, datasets risk becoming technically...
Data Streaming for AI: From Extractive Training to Sovereign Infrastructure DWeb Camp 2026
AI systems are consuming the world's content without compensating its creators. This session explores data streaming as a new paradigm — where content flows to AI in real time, with built-in rights management, usage tracking, and fair compensation — and asks what it would take to make this infrastructure decentralized, sovereign, and governed by the communities it serves.
GO FAIR initiative: Make your data & services FAIR
A bottom-up international approach for the practical implementation of the European Open Science Cloud (EOSC) as part of a global Internet of FAIR Data & Services
Fairly Trained
Fairly Trained is a non-profit that certifies AI companies for fairer training data sourcing.
MyData
The human-centric approach to data is aimed at a fair, sustainable, and prosperous digital society. In such a society, people get value from their data and set the agenda on how it is used. And for organisations, the ethical use of data is always the most attractive option.
Data Feminism
A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism.
Data Feminism
Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to d...
Find Open Datasets for AI and Research | Kaggle
Browse and download hundreds of thousands of open datasets for AI research, model training, and analysis. Join a community of millions of researchers, developers, and builders to share and collaborate on Kaggle.
The AI "Evaluation Crisis" Is an Opportunity to Get Data Flow Right
Why the AI evaluation crisis could force a reckoning on dataset provenance, attribution, and consent.
Software Sharing for Modern Companies | Fair.io
Fair Source is an alternative to closed source, allowing you to safely share access to your core products. Fair Source Software (FSS) can be used with minimal restrictions, and becomes Open Source after a period of time.
Fully Sharded Data Parallel
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
A Short Guide to Data Strikes and Conscious Data Contribution in the Context of 2026 Frontier AI
Back to the basics of data leverage.
Government to ease data consent rules for AI development | The Asahi Shimbun Asia & Japan Watch
To accelerate artificial intelligence development, the government plans to relax consent requirements for access to personal information while introducing tougher penalties for intentional misuse.
