BBSRC – Data Exploration

Creating new insight and value

This competition focuses on innovations in the data exploration techniques of analytics, modelling and visualisation, to generate new insight and value from large amounts of complex data.

 BBSRC – Data Exploration

 

Key points/focus:

Funding mainly goes to industrial research projects in which a business partner will generally attract up to 50% public funding for their project costs (60% for SMEs). Research organisations may participate in projects as a partner in a consortium; however, at least 70% of the project costs must be incurred by businesses. Proposals must be collaborative and business-led and include at least one small or medium-sized enterprise (SME). Most projects should start from the 'proof of concept' maturity level and work towards the 'demonstrator' level. The percentage of costs that is paid varies, depending on the type of research being carried out and the type of organisation involved.

Other comments:

All projects must contain a significant and identifiable element of technology innovation and risk. Multidisciplinary innovation based on recent technical developments or breakthroughs that could have applications in a range of markets is required.  The scope must be within remit (see 'Our portfolio') e.g. software to enhance data analysis, integration and exploitation by the bioscience R&D community, particularly where it will address bioscience challenges.  The scope of the competition includes but is not limited to:

  • designing data exploration tools for non-ICT specialists across different sectors
  • exploring various types of data across application areas or sectors
  • enabling collaborative exploration of data by two or more experts simultaneously
  • reducing the cost of high-fidelity visualisation of data
  • identifying exceptions, deviations or unusual occurrences in behavioural data
  • providing tools that enable intelligent, predictive modelling capabilities, including the integration and analysis of heterogeneous data types more immersive interaction with data using appropriate interfaces (for example touch, speech, gesture, emotion-sensing)

Applications Procedure:

via InnovateUK

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