BioFAIR is a UKRI funded federated digital research infrastructure (£34million over 5 years). BioFAIR will deliver a step change in ‘Findable, Accessible, Interoperable and Re-usable’ (FAIR) research data management, providing end-to-end FAIR research data management & analysis capabilities along with the necessary support and training for UK researchers working in the life sciences.
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Fellowship Launch
The BioFAIR Fellowship is a flagship initiative of the UKRI-funded BioFAIR programme, supporting the UK life sciences community in transforming how data is shared, stewarded, and reused. The Fellowship brings together a diverse cohort of individuals from across academia and the wider UK life sciences ecosystem, equipping them with the training, networks, and resources to drive sustainable cultural change around data.
The BioFAIR Commons
BioFAIR brings together four interconnected Commons, each designed to support the UK life sciences community in embedding FAIR principles into everyday research. All of these services will be accessible through the BioFAIR Portal – your gateway to the full range of national resources, services, and communities.
Method Commons
A shared Method Commons will enable institutes and research teams to access trusted and robust analysis platforms, workflows and tools, using their own and reference datasets, and contribute their own computational methods. Nationally hosted analytical resources will enhance the digital infrastructure available to UK life scientists, supporting reproducible data analytics for data driven bioscience.
Data Commons
A shared Data Commons will enable researchers to prepare, analyse, share and manage FAIR research data across the data’s whole life cycle, from its collection to deposition and retention. A national Data Hub will catalogue a distributed “data lake” of researcher governed data, and support will be given for: data collection, data analysis and the submission of data into community public archives.
People Commons
A pooled community of BioFAIR Fellows, professional data stewards and Research Software Engineers will support researchers, bioinformaticians, institutional /project developers and data stewards with their Data and Software Management Planning, data quality and data analytics, AI-readiness and open science practice.
Training Hub
A central hub for FAIR data and workflow skills, bringing together workshops, courses, and hands-on resources to support researchers in data management, reproducible research, and open science practices.
Discover how BioFAIR’s four commons are structured and how each contributes to making FAIR data accessible, reusable, and impactful for the research community.
People
Meet the team and explore the partners driving BioFAIR’s mission to make data FAIR and accessible across the research community.
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