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Call for Proposals: Advancing Big Data Science in Genomics Research

February 6, 2013

Massive amounts of data are being generated by genomics research across all life science sectors.  The lack of efficient tools and methodologies available to effectively mine, rapidly access and efficiently analyse vast quantities of genomic information and integrate it with other data sets is a major challenge for the research community. 

To help position Canada as a leader in this global research challenge, Natural Sciences and Engineering Research Council of Canada (NSERC), Genome Canada, the Canadian Institutes of Health Research (CIHR) and the Canada Foundation for Innovation (CFI) have established an unprecedented partnership that will see a variety of disciplines come together to tackle high volumes of data. The insight gleaned from these partnerships will help address some of Canada’s most pressing challenges. This call also aims to tap into the expertise of NSERC’s funded researchers in fields such as mathematics, statistics and computer science to support the development of tools and methodologies to integrate currently available complex data sets.

NSERC, Genome Canada, and CIHR plan to award one Discovery Frontier grant through this call, for a total funding level of $1.5 million per year for four years for the direct research costs, plus an additional $1 million from the CFI for costs related to infrastructure with an added 30% towards eligible operating and maintenance costs of the infrastructure, if required. As per its usual practice, the CFI will fund a maximum of 40 percent of the total infrastructure costs.

NSERC anticipates that the new knowledge, tools and infrastructure produced from this research will facilitate breakthrough discoveries and innovation in science, engineering, medicine, and other disciplines, pushing Canada to the forefront of big data research. 

The deadline for letters of intent is May 1, 2013. For more details and instructions on how to apply, please refer to the program description.

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