Skip to main content
Article thumbnail
Location of Repository

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

By Nigel Shadbolt, Tim Brody, Les Carr and Stevan Harnad


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

Topics: Statistical Models
Publisher: Chandos
Year: 2006
OAI identifier:
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • (external link)
  • (external link)
  • (external link)
  • (external link)
  • Suggested articles


    1. (2005). Analyse de la variation de pourcentages d'articles en accès libre en fonction de taux de citations Harnad, S.
    2. (2004). Comparing the Impact of Open Access (OA) vs. Non-OA Articles in the Same Journals.
    3. (2004). Delayed impact: ISI's citation tracking choices are keeping scientists in the dark BMC Bioinformatics
    4. (2004). Do Open-Access Articles Have a Greater Research Impact? College and Research Libraries,
    5. (2005). Early citation counts correlate with accumulated impact.
    6. (2001). Enhancing OAI Metadata for Eprint Services: two proposals.
    7. (2002). Evaluation of Digital Library Impact and User Communities by Analysis of Usage Patterns D-Lib
    8. (2005). Fast-Forward on the Green Road to Open Access: The Case Against Mixing Up Green and Gold.
    9. (1998). For Whom the Gate Tolls? Free the Online-Only Refereed Literature. American Scientist Forum Harnad, S. doi
    10. (2000). Integrating, Navigating and Analyzing Eprint Archives Through Open Citation Linking (the OpCit Project).
    11. (2005). Monitoring Research Collaborations Using Semantic Web Technologies.
    12. (1991). Post-Gutenberg Galaxy: The Fourth Revolution in the Means of Production of Knowledge.
    13. (2002). Scholarly Communication and Bibliometrics , Annual Review of Information Science and Technology,
    14. (2004). The Access/Impact Problem and the Green and Gold Roads to Open Access. doi
    15. (2002). The Semantic Grid: Past, Present and Future. doi
    16. (2001). The Semantic Web,
    17. (2003). Usage Analysis for the Identification of Research Trends

    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.