
NSF Org: |
IIS Division of Information & Intelligent Systems |
Recipient: |
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Initial Amendment Date: | August 31, 2009 |
Latest Amendment Date: | August 31, 2009 |
Award Number: | 0936204 |
Award Instrument: | Standard Grant |
Program Manager: |
Stephen Griffin
IIS Division of Information & Intelligent Systems CSE Directorate for Computer and Information Science and Engineering |
Start Date: | September 1, 2009 |
End Date: | August 31, 2010 (Estimated) |
Total Intended Award Amount: | $20,756.00 |
Total Awarded Amount to Date: | $20,756.00 |
Funds Obligated to Date: |
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History of Investigator: |
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Recipient Sponsored Research Office: |
107 S INDIANA AVE BLOOMINGTON IN US 47405-7000 (317)278-3473 |
Sponsor Congressional District: |
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Primary Place of Performance: |
107 S INDIANA AVE BLOOMINGTON IN US 47405-7000 |
Primary Place of
Performance Congressional District: |
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Unique Entity Identifier (UEI): |
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Parent UEI: |
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NSF Program(s): | Info Integration & Informatics |
Primary Program Source: |
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Program Reference Code(s): |
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Program Element Code(s): |
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Award Agency Code: | 4900 |
Fund Agency Code: | 4900 |
Assistance Listing Number(s): | 47.070 |
ABSTRACT
This workshop aims to bring together leading scientists and practitioners in the domains of bibliometrics, informetrics, network and web science, digital libraries, academic policies, and open repositories for a public discussion on the quantitative evaluation of scholarly impact and value of publications. on scientific research. Quantitative evaluation of scholarly impact and value has historically been conducted on the basis of citation data. This approach is not always appropriate or accurate in the fast-paced, open, and interdisciplinary nature of scholarship which is, to a large degree, dependent upon digital data and sources. The workshop is meant to provide guidance and research agendas for further development of metrics for scientific impact and value. The workshop's intellectual merit is found in defining the scientific criteria and objectives that would lead to a more general community-acceptance of various impact metrics. The impact of science as traditionally measured is at the point of fundamental change as the digital research environment grows and attracts more participants. Novel impact metrics, that gain community acceptance, may lead to a more diverse and balanced scientific landscape in which the contributions of a larger and more diverse community are more equally recognized and valued.
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