Social dynamics of research collaboration: Norms, practices, and ethical issues in determining coauthorship rights (rip)

Barry Bozeman, Monica Gaughan, Jan Youtie

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

As co-authorship has become common practice in most science and engineering disciplines and, with the growth of co-authoring has come a fragmentation of norms and practices, some of them discipline-based, some institution-based. It becomes increasingly important to understand the practices, in part to reduce the likelihood of misunderstanding in collaborations among authors from different disciplines and fields. Moreover, there is also evidence of widespread satisfaction with collaborative and co-authoring experience. In some cases the dissatisfactions are more in the realm of bruised feelings and miscommunication but in others there is clear exploitation and even legal disputes about, for example, intellectual property. Our paper is part of a multiyear study funded by the U.S. National Science Foundation and draws its data from a representative national survey of academic scientists working in Carnegie Extensive ("Research I") universities (n=641). The paper tests hypotheses about the determinants of collaboration effectiveness.x

Original languageEnglish (US)
Title of host publicationProceedings of ISSI 2013 - 14th International Society of Scientometrics and Informetrics Conference
Pages1613-1621
Number of pages9
StatePublished - 2013
Externally publishedYes
Event14th International Society of Scientometrics and Informetrics Conference, ISSI 2013 - Vienna, Austria
Duration: Jul 15 2013Jul 20 2013

Publication series

NameProceedings of ISSI 2013 - 14th International Society of Scientometrics and Informetrics Conference
Volume2

Other

Other14th International Society of Scientometrics and Informetrics Conference, ISSI 2013
Country/TerritoryAustria
CityVienna
Period7/15/137/20/13

ASJC Scopus subject areas

  • Computer Science Applications
  • Management Science and Operations Research
  • Applied Mathematics
  • Modeling and Simulation
  • Statistics and Probability

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