癌症研究领域的开放科学现状

Cristina Rius, Yiming Liu, Andrea Sixto-Costoya, Juan Carlos Valderrama-Zurián, Rut Lucas-Dominguez
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引用次数: 0

摘要

方法 在《科学引文索引-扩展版》(Science Citation Index-Expanded)中执行癌症检索方程,收集至少由一家西班牙机构署名的论文。结果共检索到50 822篇论文,其中71%属于第一和第二四分位数期刊。59%的文章发表在开放存取(OA)期刊上。开放获取模式和国际合作对论文被引用的数量有积极影响。Plos One》、《Cancer》和《Clinical and Translational Oncology》是最有成果的期刊。共检索到 2693 个基因组学、蛋白质组学和代谢组学数据集,其中基因表达总库(Gene Expression Omnibus)是最受欢迎的资源库。大多数文章发表在第一四分位数期刊上,与非开放存取文章相比,这些文章的引用率更高,国际研究团队之间进行肿瘤学调查时,引用率也更高,这与开放科学有关。遗传资源库是共享肿瘤学数据集的首选。需要在更有力的开放科学政策支持下,对肿瘤学研究和数据共享进行进一步调查,以在研究人员、出版商和科学组织这三大科学支柱之间实现更好的数据共享实践。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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State of open science in cancer research

Purpose

This study has been focused on assessing the Open Science scenario of cancer research during the period 2011–2021, in terms of the derived scientific publications and raw data dissemination.

Methods

A cancer search equation was executed in the Science Citation Index-Expanded, collecting the papers signed by at least one Spanish institution. The same search strategy was performed in the Data Citation Index to describe dataset diffusion.

Results

50,822 papers were recovered, 71% of which belong to first and second quartile journals. 59% of the articles were published in Open Access (OA) journals. The Open Access model and international collaboration positively conditioned the number of citations received. Among the most productive journals stood out Plos One, Cancers, and Clinical and Translational Oncology. 2693 genomics, proteomics and metabolomics datasets were retrieved, being Gene Expression Omnibus the favoured repository.

Conclusions

There has been an increase in oncology publications in Open Access. Most were published in first quartile journals and received higher citations than non-Open Access articles, as well as when oncological investigation was performed between international research teams, being relevant in the context of Open Science. Genetic repositories have been the preferred for sharing oncology datasets. Further investigation of research and data sharing in oncology is needed, supported by stronger Open Science policies, to achieve better data sharing practices among three scientific main pillars: researchers, publishers, and scientific organizations.

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