In the past, several works have investigated ways for combining quantitative and qualitative methods in research assessment exercises. In this work, we aim at introducing a methodology to explore whether citation-based metrics, calculated only considering open bibliographic and citation data, can yield insights on how human peer-review of research assessment exercises is conducted. To understand if and what metrics provide relevant information, we propose to use a series of machine learning models to replicate the decisions of the committees of the research assessment exercises.
翻译:过去,有几项工作调查了将研究评估工作的定量和定性方法结合起来的方法,在这项工作中,我们的目标是采用一种方法,探讨只考虑到公开书目和引证数据而计算出来的以引用为基础的衡量标准,是否能够对研究评估工作如何进行人类同行审查产生深刻见解,为了了解是否和什么衡量标准提供了相关信息,我们提议使用一系列机器学习模型来复制研究评估工作委员会的决定。