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dc.contributor.authorHaak, Laurel-
dc.contributor.authorBaker, David-
dc.contributor.authorProbus, Matt A.-
dc.identifier.citationKeith 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. 113-118en_US
dc.descriptionPresented at the CRIS2012 Conference in Prague.-- 6 pages.-- Full conference programme available at:
dc.description.abstractTo 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.en_US
dc.relation.ispartofseriesCRIS2012: 11th International Conference on Current Research Information Systems (Prague, June 6-9, 2012)-
dc.subjectknowledge creationen_US
dc.subjectresearch ecosystem modelen_US
dc.subjectresearch information managementen_US
dc.subjectdata standardsen_US
dc.subjectresearcher profilesen_US
dc.titleCreating a Data Infrastructure for Tracking Knowledge Flowen_US
dc.typeConference Paperen_US
dc.relation.conferenceCRIS2012 Conferenceen
item.openairetypeConference Paper-
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