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Title: Creating a Data Infrastructure for Tracking Knowledge Flow
Authors: Haak, Laurel 
Baker, David 
Probus, Matt A. 
Keywords: knowledge creation;impact;research ecosystem model;research information management;data standards;researcher profiles
Issue Date: 8-Jun-2012
Publisher: euroCRIS
Source: Keith G. Jeffery, Jan Dvořák (eds.), "e-Infrastructures for Research and Innovation Linking Information Systems to Improve Scientific Knowledge Production": Proceedings of the 11th International Conference on Current Research Information Systems (2012), p. 113-118
Series/Report no.: CRIS2012: 11th International Conference on Current Research Information Systems (Prague, June 6-9, 2012)
Conference: CRIS2012 Conference 
To understand how research and development leads to creation of knowledge and then to track the impact of that knowledge requires a comprehensive model of the research ecosystem that incorporates inputs, outputs, activities, and external factors, and the data to support longitudinal and network analysis. To date, most research has focused on those activities and outputs that are readily accessible, including publication output and follow-on citations, and patents and patent citations. While these outputs are robust and can be normalized by field of research, additional data are needed. Moreover, efforts to assemble systematic information on researchers, including their biographic information, institutions, support, and networks, are in a fledgling
stage. We discuss requirements around data linkages, data standards, and data privacy in creating a distributed data infrastructure to support quantitative analysis of the research workforce.
Presented at the CRIS2012 Conference in Prague.-- 6 pages.-- Full conference programme available at:
ISBN: 978-80-86742-33-5
Appears in Collections:Conference

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