With the growth of research collaborations, the average number of authors per article and the phenomenon of equally important authorships have increased. The essence of the phenomenon of equally important authorships is the approximately equal importance of authors, both because of the difficulties in comparing authors’ contributions to a paper and some actual research evaluation practices, which give full paper credit only to the most important authors. A mechanism for indicating that various authors contributed equally is required to maintain and (...) strengthen collaboration. However, the phenomenon of multiple important authors can cause unfair comparisons among the research contributions and abilities of authors of different papers. This loophole may be exploited. Normalizing the credit assigned to a given paper’s authors is an easy way to solve this ethical dilemma. This approach enables fair comparisons of the contributions by the authors of different articles and suppresses unethical behaviour in author listings. Bibliometric researchers have proposed mature methods of normalized paper credit assignment that would be easy to use given the current level of computer adoption. (shrink)

Scholars and policy-makers have expressed concerns about the crediting of coauthors in research publications. Most such problems fall into one of two categories, excluding deserving contributors or including undeserving ones. But our research shows that there is no consensus on “deserving” or on what type of contribution suffices for co-authorship award. Our study uses qualitative data, including interviews with 60 US academic science or engineering researchers in 14 disciplines in a set of geographically distributed research-intensive universities. We also employ data (...) from 161 website posts provided by 93 study participants, again US academic scientists. We examine a variety of factors related to perceived unwarranted exclusion from co-author credit and unwarranted inclusion, providing an empirically-informed conceptual model to explain co-author crediting outcomes. Determinants of outcomes include characteristics of disciplines and fields, institutional work culture, power dynamics and team-specific norms and decision processes. (shrink)