Mapping sub-authorship in science through funding acknowledgements analysis

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Adrián Arias Diaz-Faes
Centro de Ciencias Humanas y Sociales (CSIC)
Martes, 24 Noviembre 2015 - 12:00

Most bibliometric studies on collaboration in science use only coauthorship-based indicators to analyse collaborative research, which provides relevant information on the structure and dynamics of collaboration between researchers. However, as noted in the literature, if collaboration is reduced to co‐authorship some collaborative activity may be overlooked. Consequently, other sources of information on collaboration such as the acknowledgements section in scientific articles have been suggested. This research analyses funding acknowledgement presence in Spanish output and introduces a novel approach for discovering sub-authorship patterns by discipline. Findings suggest differences in the funding acknowledgement presence by area and the existence of specific textual patterns by discipline. These results open new avenues for an in-depth analysis of collaborative research practices

Lugar: 

Ciudad Politécnica de la Innovación
Edificio 8E, Acceso J, Planta 4ª (Sala Descubre. Cubo Rojo)
Universidad Politécnica de Valencia | Camino de Vera s/n

Breve CV del Ponente: 

Adrián A. Díaz-Faes has recently got his PhD in Multivariate Applied Statistics from the University of Salamanca. He received his bachelor in Library and Information Science and a master in Multivariate Data Analysis from the same university. He has been working for the past four years as a PhD student in a research group led by María Bordons in the Centre for Human and Social Sciences (CCHS) at CSIC. Besides, he has enjoyed research stays at the Centre for Science and Technology Studies (CWTS) in the Netherlands and at the Royal School of Library and Information Science (RLIS) in Denmark. He works in the field of quantitative studies of science and so far his research has dealt with novel approaches to the study of collaboration in science and the development of new bibliometric indicators.