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The Open Research Web: A Preview of the Optimal and the Inevitable

Shadbolt, Nigel and Brody, Tim and Carr, Les and Harnad, Stevan (2006) The Open Research Web: A Preview of the Optimal and the Inevitable. [Book Chapter] (In Press)

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Abstract

The multiple online research impact metrics we are developing will allow the rich new database , the Research Web, to be navigated, analyzed, mined and evaluated in powerful new ways that were not even conceivable in the paper era – nor even in the online era, until the database and the tools became openly accessible for online use by all: by researchers, research institutions, research funders, teachers, students, and even by the general public that funds the research and for whose benefit it is being conducted: Which research is being used most? By whom? Which research is growing most quickly? In what direction? under whose influence? Which research is showing immediate short-term usefulness, which shows delayed, longer term usefulness, and which has sustained long-lasting impact? Which research and researchers are the most authoritative? Whose research is most using this authoritative research, and whose research is the authoritative research using? Which are the best pointers (“hubs”) to the authoritative research? Is there any way to predict what research will have later citation impact (based on its earlier download impact), so junior researchers can be given resources before their work has had a chance to make itself felt through citations? Can research trends and directions be predicted from the online database? Can text content be used to find and compare related research, for influence, overlap, direction? Can a layman, unfamiliar with the specialized content of a field, be guided to the most relevant and important work? These are just a sample of the new online-age questions that the Open Research Web will begin to answer.

Item Type:Book Chapter
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Keywords:open access, research impact, citation analysis, scientometrics, semantic web, webmetrics, mentrics, research assessment, RAE
Subjects:Computer Science > Statistical Models
ID Code:4841
Deposited By:Harnad, Stevan
Deposited On:16 Apr 2006
Last Modified:11 Mar 2011 08:56

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