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Home / Glossary / FAIR data

What is FAIR data?

FAIR data is a set of principles ensuring that data is Findable, Accessible, Interoperable, and Reusable. These guidelines promote responsible data management in research, industry, and government, facilitating collaboration, transparency, and innovation in data-driven fields.

Related Glossaries

  • Release State Release State refers to an immutable and identifiable data state fixed for AI execution. The same release state should always point to the same condition, making it a stable reference for reproducibility and comparison.
  • Relational Database Relational database refers to a structured data storage system that organizes data into tables with predefined relationships. It uses SQL for querying and is widely used in enterprise applications, transaction processing, and analytics.
  • Automated machine learning AutoML refers to the process of automating the selection, training, and tuning of machine learning models. It enables users, including those without extensive expertise, to build AI models efficiently by automating tasks like feature selection, hyperparameter tuning, and model evaluation.
  • AI-Ready Data Infrastructure AI-Ready Data Infrastructure refers to the foundational systems and operating structures that convert unusable data into data that AI can directly use. It connects diagnosis, restoration, standardization, validation, and execution control into a usable operational layer.
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CUBIG LTD (United Kingdom)
Company Number: NI735459
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