ELIXIR UK Training

The ELIXIR UK Node’s focus in training is to coordinate a strategic programme of training for life scientists and the technologists involved in the infrastructure needed for data-driven biology. We will facilitate a joined-up network of training providers and key stakeholders in the UK who will provide opportunities for skills development in specialised centres, in courses, and through e-learning - adding value through our strong partnerships with other ELIXIR Nodes and agencies.

The UK Node has been evaluating training provision in the UK and identifying gaps and strategic training needs (also see BBSRC's report on vulnerable research skills and capabilities in the UK). This process has involved bringing together many people involved in research, technical development, infrastructure and training across the UK life science community in key Training Sectors under the guidance of subject experts - our Training Sector Leads.

As part of this process, developing from our key sectors, we have identified 5 thematic areas of strategic training need which will be the focus of training developments in ELIXIR UK moving forward. Training Sectors are organised and represented under the following 5 priority themes:

 

How these relate and interconnect with other ELIXIR UK training sectors is shown in the graphic below.  Our priority Training Themes are of national strategic importance - experiencing severe skills shortages whilst being priority funding areas or subjects of governmental or public interest and investment.

Although we will be working in all of these areas throughout the project, key deliverables of scoping appropriate training materials and methods, and implementing training delivery are linked to the timeframe below.

 

 

 

 

 

 

ELIXIR-UK will initially train postgraduate, postdoctoral and mid-career scientists, and will focus on the research-intensive bioscience and environment industries. Trainees from academia, industry and other user groups in ELIXIR member states will build interdisciplinary bridges between scientists newly empowered to integrate large data sets into their scientific programmes, and scientific technologists trained in providing trusted and sustainable software. The Node will produce sophisticated users and producers of infrastructure who then can apply their expertise to the most important scientific questions.