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Tools and resources development fund: call 2

Copyright: Monkey business

Support for development of bioinformatics tools and computational approaches to the biosciences

Call status: Closed
Previous call: 13 October 2015 – 24 November 2015

Ranked order and panel membership

Ranked list (XLSX 16KB)

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Panel membership (PDF 66KB)

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Purpose

This call intends to:

  • Support small or short-duration, pump-priming (pilot) projects that enable excellent bioscience
  • Encourage development of novel software tools, technologies and computational methods spanning the breadth of BBSRC remit (see our strategic priorities in related links)
  • Underpin research in BBSRC's strategic priorities and the wider biosciences

Key aims

Different types of 'enabling' proposal are eligible for consideration under this call.

  • New approaches to the analysis and interpretation of research data in the biological sciences, including development of software tools and algorithms. Of particular interest will be proposals that address challenges arising from emerging new types of data and proposals that address known problems associated with data handling (e.g. next generation sequencing, high-throughput phenotyping, the extraction of data from challenging biological images, metagenomics)
  • New frameworks for the curation, sharing, and re-use/re-purposing of research data in the biological sciences, including embedding data citation mechanisms (e.g. persistent identifiers for datasets within research workflows) and novel data management planning (DMP) implementations (e.g. integration of DMP tools within research workflows)
  • Community approaches to the sharing of research data, including the development of standards (this could include coordinating UK input into international standards development activities)
  • Approaches designed to exploit the latest computational technology, to further biological research; for example, to facilitate the use of cloud computing approaches or high performance computing architectures

Related calls: animal health collaboration data industry innovation multidisciplinary plants research technologies