Authorship of scientific articles has profoundly changed from early science until now. If once upon a time a paper was authored by a handful of authors, scientific collaborations are much more prominent on average nowadays. As authorship (and citation) is essentially the primary reward mechanism according to the traditional research evaluation frameworks, it turned to be a rather hot-button topic from which a significant portion of academic disputes stems. However, the novel Open Science practices could be an opportunity to disrupt such dynamics and diversify the credit of the different scientific contributors involved in the diverse phases of the lifecycle of the same research effort. In fact, a paper and research data (or software) contextually published could exhibit different authorship to give credit to the various contributors right where it feels most appropriate. We argue that this can be computationally analysed by taking advantage of the wealth of information in model Open Science Graphs. Such a study can pave the way to understand better the dynamics and patterns of authorship in linked literature, research data and software, and how they evolved over the years.
翻译:科学文章的著作权从早期科学到现在都发生了深刻的变化。如果在一段时间内,有一篇论文是由少数作者撰写的,科学合作在当今平均来说更加突出。根据传统的研究评估框架,作者(和引用)基本上是主要奖赏机制,因此,它变成了一个相当热点的话题,其中很大一部分学术争议源自于此。然而,新的《开放科学》实践可能是一个机会,可以破坏这种动态,并使参与同一研究工作生命周期不同阶段的不同科学贡献者的功劳多样化。事实上,根据背景发表的论文和研究数据(或软件)可以展示不同的作者地位,在认为最合适的地方给予不同贡献者以功劳。我们争论说,可以通过利用模型开放科学图表中丰富的信息来进行计算分析。这种研究可以为更好地了解相关文献、研究数据和软件的动态和模式以及这些年来如何演变铺平道路。