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Describing the Quality of Curated e-Science Information Resources

Qurator

http://www.qurator.org/

E-science involves the sharing of experimental results on a global scale. Scientists now expect to make use of information produced by other labs/projects in validating and interpreting their own results. However, many unsolved problems remain in the area of information sharing, not least of which are those caused by hidden differences in information quality (IQ) between data sources. This project seeks to assist scientists and data curators in managing the quality of their information. Rather than trying to impose a single approach and set of IQ priorities, an alternative is to provide scientists with the means of annotating their information with explicit descriptions of its quality in terms of locally relevant characteristics.

Maturity: Initial Research
Region: UK
Type: EPSRC Computing Science
Grant Value: £359,448.00
Start Date: 12/04/2004
End Date: 25/07/2007
Project Status: funded
Funding Agency: EPSRC


Project Members
PI
Dr Suzanne Embury
Dr Alun Preece


Collaborating Organisations
University of Aberdeen
University of Manchester


Component(s) Project Develops
This project is not associated with any components at present.


Application Area(s) associated with Project
This project is not associated with any application areas at present.

 

Last Updated: 22 Jun 12 11:04
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