Data for Children’s and Young People’s Cancer Pilot Award

Applications for this award are currently closed.

We encourage applications from multi-disciplinary teams across a broad range of fields, including but not limited to:  

• Biomedicine  
• Engineering  
• Physics  
• Statistics   
• Mathematics  
• Informatics  
• Computer and Data Sciences   

We will accept applications from independent early career researchers to established senior researchers.  

Applicants are not required to have previous experience within cancer research, but cancer expertise within the team is strongly encouraged, and a clear link between the proposed project, children's and young people's cancers, and the generation of data and/or data resources is required. 

Scientific Remit 

This scheme builds on our research strategy that’s putting discovery at the heart of the research that we fund, the foundations of the Research Data Strategy and identified challenges facing the children's and young people's cancer community, such as collection of routine clinical data and linkage across datasets. Applications to this Award can include both the creation of new data and/or the use of existing data, development of data tools, consent and governance methods, or analytical approaches. The Award may also support the creation of new collaborations/consortia.  

Research areas that could be considered include, but are not limited to:  

• Generating or uniting research data to characterise and identify key features of critical biological differences between children's and young people's cancers and cancers in adults, with the potential of discovering novel druggable targets and pathways to develop more effective children's and young people's cancer-specific treatments.    
• Data-driven approaches using genomic data to understand the penetrance of germline mutations in children's and young people's cancers.  
• Generating or uniting research data to exploring lead time bias in relapse and improved prediction (e.g. based on machine learning approaches) of high-risk children's and young people's cancer patients.  
• Generating or uniting long-term quality of life data in survivors of children's and young people's cancer with their treatment data in order to be able to guide treatment with long term impact in mind.