Inbook,
The Open Research Web: A Preview of the Optimal and the Inevitable
chapter 21, Chandos, (2006)
Abstract
Further development of GNU EPrints and Citebase, together with the growing webwide database of Open Access (OA) articles, and the data we will collect and analyse from it, will allow us to do several things for which the unique historic moment has arrived with the Research Assessment Exercise's recent transition to metrics: (1) Motivate more researchers to provide OA by self-archiving; (2) map the growth of OA across disciplines, countries and languages; (3) navigate the OA literature using citation-linking and impact ranking; (4) measure, extrapolate and predict the research impact of individuals, groups, institutions, disciplines, languages and countries; (5) measure research performance and productivity, (6) assess candidates for research funding; (7) assess the outcome of research funding, (8) map the course of prior research lines, in terms of individuals, institutions, journals, fields, nations; (9) analyze and predict the direction of current and future research trajectories;(10) provide teaching and learning resources that guide students (via impact navigation) through the large and growing OA research literature in a way that navigating the web via google alone cannot come close to doing.
