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  • × author_ss:"Burnett, K."
  1. Miksa, S.D.; Burnett, K.; Bonnici, L.J.; Kim , J.: ¬The development of a facet analysis system to identify and measure the dimensions of interaction in online learning (2007) 0.02
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    Abstract
    The development of a facet analysis system to code and analyze data in a mixed-method study is discussed. The research goal was to identify the dimensions of interaction that contribute to student satisfaction in online Web-supported courses. The study was conducted between 2000 and 2002 at the Florida State University School of Information Studies. The researchers developed a facet analysis system that meets S. R. Ranganathan's ([1967]) requirements for articulation on three planes (idea, verbal, and notational). This system includes a codebook (verbal), coding procedures, and formulae (notational) for quantitative analysis of logs of chat sessions and postings to discussion boards for eight master's level courses taught online during the fall 2000 semester. Focus group interviews were subsequently held with student participants to confirm that results of the facet analysis reflected their experiences with the courses. The system was developed through a process of emergent coding. The researchers have been unable to identify any prior use of facet analysis for the analysis of research data as in this study. Identifying the facet analysis system was a major breakthrough in the research process, which, in turn, provided the researchers with a lens through which to analyze and interpret the data. In addition, identification of the faceted nature of the system opens up new possibilities for automation of the coding process.
    Date
    2.11.2007 10:22:40
  2. Stvilia, 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 (2011) 0.02
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    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.
    Date
    22. 1.2011 13:19:42
  3. Burnett, K.; Ng, K.B.; Park, S.: ¬A comparison of the two traditions of metadata development (1999) 0.01
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    Abstract
    Metadata has taken on a more significant role than ever before in the emerging digital library context because the effective organization of networked information clearly depends on the effective management and organization of metadata. The issue of metadata has been approached variously by different intellectual communities. The 2 main approaches may be characterized as: (1) the bibliographic control approach (origins and major proponents in library science); and (2) data management approach (origins and major proponents in computer science). This article examines the different conceptual foundations and orientations of the 2 major approaches contributing to the metadata discussion. An examination of the on-going efforts to establish metadata standards, and comparison of different metadata formats, supports a proposal for an integrated concept of metadata to facilitate the merging of the 2 approaches
  4. Burnett, K.; McKinley, E.G.: Modelling information seeking (1998) 0.01
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    Abstract
    Proposes 3 inter-related models to aid in the understanding of the complex and constructive process of contemporary information seeking: postmodern model of identity, rhizomorphic model of information contexts, and hypertextual model of technology interaction. Redefines the nature of the information-seeking problem as an individual's negotiation of identity throught the exploration of the interaction of private ignorance and public knowledge. Introduces 3 models, and clarifies their association with the information seeking problem. Justifies the incorporation of foci on interactive processes, borrowed from communication studies, into the current proposed approach to modelling information seeking
  5. Stvilia, 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 (2015) 0.01
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    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.