Creating a Data Infrastructure for Tracking Knowledge Flow
Author(s)
Issue Date
June 8, 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
Type
Conference Paper
Abstract
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.
Description
Presented at the CRIS2012 Conference in Prague.-- 6 pages.-- Full conference programme available at: http://www.cris2012.org/findByFilter.do?categoryId=1158
URI
https://dspacecris.eurocris.org/handle/11366/48
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