Authors : Angela Okune, Rebecca Hillyer, Denisse Albornoz, Alejandro Posada, Leslie Chan
The current discourse around Open Science has tended to focus on the creation of new technological platforms and tools to facilitate sharing and reuse of a wide range of research outputs.
There is an assumption that once these new tools are in place, researchers—and at times, members of the general public—will be able to participate in the creation of scientific knowledge in more accessible and efficient ways.
While many of these new tools have indeed assisted in the ease of collaboration through online spaces and mechanisms, the narrowness of how infrastructure is imagined by open science practitioners tends to put the use of technology ahead of the issues that people are actually trying to solve and fails to acknowledge the systemic constraints that exist within and between some communities.
Drawing on an analytical framework grounded in Black feminist intersectionality (Noble 2016), this paper highlights the need for more inclusive knowledge infrastructures, particularly in the context of sustainable development. Three case studies from the Open and Collaborative Science in Development Network (OCSDNet), are outlined in order to illustrate the importance of moving beyond a definition of infrastructure as merely a technical or physical entity.
These cases, arising from research conducted in South Africa, Brazil, and the Caribbean, demonstrate how more sustainable and nuanced forms of collaboration and participation may be enabled through broader understandings of knowledge infrastructures.
This paper further argues that leveraging the feminist concept of intersectionality when conceptualizing the development of knowledge infrastructures could be one way to move from narrow assumptions about standardized knowledge “users” towards more inclusive reimaginings of how knowledges can be produced and shared via networked technologies.
URL : https://hal.archives-ouvertes.fr/hal-01816808
Authors : Sergey Parinov, Victoria Antonova
The development of recent research information systems allows a transformation of citations in the full text of research papers into interactive elements. Such interactivity in some cases works as an instrument of direct scholarly communications between citing and cited authors.
We discuss this challenge for research e-infrastructure development including opportunities for improvements in research cooperation and in collaboration mechanisms for the global research community.
URL : https://hal.archives-ouvertes.fr/hal-01816700
Authors : Yuxiao Dong, Hao Ma, Jie Tang, Kuansan Wang
The shift from individual effort to collaborative output has benefited science, with scientific work pursued collaboratively having increasingly led to more highly impactful research than that pursued individually.
However, understanding of how the diversity of a collaborative team influences the production of knowledge and innovation is sorely lacking. Here, we study this question by breaking down the process of scientific collaboration of 32.9 million papers over the last five decades.
We find that the probability of producing a top-cited publication increases as a function of the diversity of a team of collaborators—namely, the distinct number of institutions represented by the team.
We discover striking phenomena where a smaller, yet more diverse team is more likely to generate highly innovative work than a relatively larger team within one institution.
We demonstrate that the synergy of collaboration diversity is universal across different generations, research fields, and tiers of institutions and individual authors.
Our findings suggest that collaboration diversity strongly and positively correlates with the production of scientific innovation, giving rise to the potential revolution of the policies used by funding agencies and authorities to fund research projects, and broadly the principles used to organize teams, organizations, and societies.
URL : https://arxiv.org/abs/1806.03694
Authors : Raphael H. Heiberger, Oliver J. Wieczorek
Physics is one of the most successful endeavors in science. Being a prototypic big science it also reflects the growing tendency for scientific collaborations. Utilizing 250,000 papers from ArXiv.org a prepublishing platform prevalent in Physics we construct large coauthorship networks to investigate how individual network positions influence scientific success.
In this context, success is seen as getting a paper published in high impact journals of physical subdisciplines as compared to not getting it published at all or in rather peripheral journals only.
To control the nested levels of authors and papers, and to consider the time elapsing between working paper and prominent journal publication we employ multilevel eventhistory models with various network measures as covariates. Our results show that the maintenance of even a moderate number of persistent ties is crucial for scientific success.
Also, even with low volumes of social capital Physicists who occupy brokerage positions enhance their chances of articles in high impact journals significantly. Surprisingly, inter(sub)disciplinary collaborations decrease the probability of getting a paper published in specialized journals for almost all positions.
URL : http://arxiv.org/abs/1608.03251
The aim of this paper is to extend our knowledge about the power-law relationship between citation-based performance and collaboration patterns for papers of the Natural Sciences domain. We analyzed 829,924 articles that received 16,490,346 citations. The number of articles published through collaboration account for 89%. The citation-based performance and collaboration patterns exhibit a power-law correlation with a scaling exponent of 1.20, SD=0.07. We found that the Matthew effect is stronger for collaborated papers than for single-authored.
This means that the citations to a field research areas articles increase 2.30 times each time it doubles the number of collaborative papers. The scaling exponent for the power-law relationship for single-authored papers was 0.85, SD=0.11. The citations to a field research area single-authored articles increase 1.89 times each time the research area doubles the number of non-collaborative papers.
URL : http://arxiv.org/abs/1510.05266
Collaboration scientifique et citations des articles : Quelles pratiques dans les revues médicales ? :
« Objectifs : La meilleure façon de caractériser la collaboration scientifique est d’étudier la co-signature des articles. Deux indicateurs sont intéressants : le nombre d’auteurs et son caractère international. L’objectif est d’étudier la corrélation entre ces deux indicateurs et le nombre de citations.
Méthodes : Nous avons sélectionné deux journaux de pharmacie et médecine afin de comparer les pratiques. Nous avons utilisé un échantillon d’environ 800 articles publiés entre 2002 et 2005 dont nous avons collecté les citations jusqu’en 2010. Nous avons transformé nos variables numériques, nombre d’auteurs et nombre de citations, en variables qualitatives.
Résultats : Les variables «auteurs» et «citations» ne sont pas indépendantes.
Conclusions. Les articles les moins cités sont souvent publiés par un seul auteur ou par une équipe très réduite alors que le caractère international des articles est un facteur qui en général augmente le nombre de citations. Cette micro-analyse a permis également de mieux appréhender certaines pratiques éditoriales. »
URL : http://hal.archives-ouvertes.fr/hal-00775307
Inter-institutional scientific collaboration: an approach from social network :
« This paper presents a tool that can be used to characterize, analyze and interpret the patterns of collaboration among institutions by means of the visual display of scientific information. These graphic representations allow for a combined analysis of a given institution in the system of relations (network), and of the particular attributes of that institution (indicators). The tool affords the possibility of regenerating the network to make any number of aggregates appear or disappear, thus allowing one to focus on institutional sectors, geographic regions, etc. It also allows for analysis of sectorial interaction, institutional backing of research, and the influence of geographic proximity, linguistic affinity, or regional politics. This is indeed a versatile analytical tool, and it is bound to prove its potential for evaluating patterns of collaborative research, development and innovation. »
URL : http://hdl.handle.net/10760/16704