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© 2015 W. Gödert, TH Köln, Institut für Informationswissenschaft / Powered by litecat, BIS Oldenburg (Stand: 04. Juni 2021)
1Stvilia, B. ; Hinnant, C.C. ; Wu, S. ; Worrall, A. ; Lee, D.J. ; Burnett, K. ; Burnett, G. ; Kazmer, M.M. ; Marty, P.F.: Research project tasks, data, and perceptions of data quality in a condensed matter physics community.
In: Journal of the Association for Information Science and Technology. 66(2015) no.2, S.246-263.
Abstract: To be effective and at the same time sustainable, a community data curation model needs to be aligned with the community's current data practices, including research project activities, data types, and perceptions of data quality. Based on a survey of members of the condensed matter physics (CMP) community gathered around the National High Magnetic Field Laboratory, a large national laboratory, this article defines a model of CMP research project tasks consisting of 10 task constructs. In addition, the study develops a model of data quality perceptions by CMP scientists consisting of four data quality constructs. The paper also discusses relationships among the data quality perceptions, project roles, and demographic characteristics of CMP scientists. The findings of the study can inform the design of a CMP data curation model that is aligned and harmonized with the community's research work structure and data practices.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23177/abstract.
2Stvilia, B. ; Hinnant, C.C. ; Schindler, K. ; Worrall, A. ; Burnett, G. ; Burnett, K. ; Kazmer, M.M. ; Marty, P.F.: Composition of scientific teams and publication productivity at a national science lab.
In: Journal of the American Society for Information Science and Technology. 62(2011) no.2, S.270-283.
Abstract: The production of scientific knowledge has evolved from a process of inquiry largely based on the activities of individual scientists to one grounded in the collaborative efforts of specialized research teams. This shift brings to light a new question: how the composition of scientific teams affects their production of knowledge. This study employs data from 1,415 experiments conducted at the National High Magnetic Field Laboratory (NHMFL) between 2005 and 2008 to identify and select a sample of 89 teams and examine whether team diversity and network characteristics affect productivity. The study examines how the diversity of science teams along several variables affects overall team productivity. Results indicate several diversity measures associated with network position and team productivity. Teams with mixed institutional associations were more central to the overall network compared with teams that primarily comprised NHMFL's own scientists. Team cohesion was positively related to productivity. The study indicates that high productivity in teams is associated with high disciplinary diversity and low seniority diversity of team membership. Finally, an increase in the share of senior members negatively affects productivity, and teams with members in central structural positions perform better than other teams.