Partners
The following partners have also received Innovation Scholars funding from the UKRI to deliver data training across academia, industry and healthcare.
Health and Biosciences IDEAS
Led by UCL, Health and Bioscience IDEAS provides training for all researchers looking to improve their skills around analysing and managing imaging data, from newcomers to advanced users.
ELIXIR-UK
Led by University of Bradford, the ELIXIR-UK Data Stewardship Fellowship supports fellows in creating learning materials and offering local training in their fields of FAIR data expertise by leveraging existing resources, materials and contact points within their institutions.
Data CAMPP
Led by University of Nottingham and University of Lincoln, the Data CAMPP project provides an innovative training course with flexible, hands-on learning opportunities spanning key aspects of an automated data gathering pipeline for the critical bioscience setting.
T3Connect
Led by University of Oxford, T3Connect Data Science and Genomic Pathogen Surveillance Training Programme is a series of train-the-trainer courses, which aims to strengthen capacity in data science and pathogen genomics for applications in infectious diseases in the UK.
Learn2Discover
Led by UCL, L2D is an online training course in Python programming, data science and machine learning, tailored for health, disease and bioscience.
Whether you are a novice or experienced programmer, L2D contains modules that are right for you.
Ed-DaSH
Led by University of Edinburgh, Ed-DASH brings together subject-matter expertise in ’omics, statistics, and computation, with strengths in research data management and the UK’s largest Carpentries chapter, to build an extensive cohort of confident practitioners and a scalable and sustainable network of health and bioscience data science training for the UK.
Cloud-SPAN
Led by University of York, Cloud-SPAN trains researchers, and the research software engineers that support them, to run specialised analyses on Cloud-based High-Performance Computing infrastructure.