Award details

BioText London

Reference	BB/D006457/1
Principal Investigator / Supervisor	Professor Adrian Shepherd
Co-Investigators / Co-Supervisors	Dr David Corney, Professor David Jones
Institution	Birkbeck College
Department	Biological Sciences
Funding type	Research
Value (£)	3,000
Status	Completed
Type	Research Grant
Start date	09/11/2005
End date	08/12/2005
Duration	1 months

Abstract

The rapid and ongoing growth in the number of biological publications means that researchers can no longer read more than a small proportion of the literature in their field. Accompanying this growth in literature is the increasing proportion of electronically available papers, as most publishers now produce on-line versions of their journals. But while this may ease access, there is still a vast quantity that a researcher may feel they should read, with no concomitant increase in their ability to do so. Most biological research culminates in a piece of text, be it a journal article, a conference paper, a patent or a technical report. Accessing the contents of these widely distributed sources is a key challenge, which text mining addresses. We propose to organise a workshop for researchers in the London/SE area on the use of text mining for biomedical research. The workshop will bring together experts in text mining with biomedical researchers to facilitate greater flow of information about current methodology.

Summary

The output from biomedical research is measured by published papers and patents describing the experiments and conclusions arising from the research project. It is difficult for scientists to keep up to date with the explosion of published information in their research area. Software tools are being developed to allow the automated mining of published information for selected text, such as a protein name associated with a disease state (for example, protein kinase and breast cancer) from the wealth of available scientific literature. In order to bring these tools to the attention of biomedical researchers we propose to organise a workshop with presentations from people developing the tools. This will provide an opportunity for interaction between the developers and the user community, which will hopefully generate future collaborations and the refinement of existing options for biomedical text mining.

Committee	Closed Committee - Engineering & Biological Systems (EBS)
Research Topics	X – not assigned to a current Research Topic
Research Priority	X – Research Priority information not available
Research Initiative	EDF (e-science Development Fund) (EDF) [2003-2005]
Funding Scheme	X – not Funded via a specific Funding Scheme

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