一个聚类算法来评估巴西研究人员对开放获取研究数据的态度

Bruna S. Freitas, Diego Bottero, Giancarlo Lucca, E. N. Borges, H. Santos, G. Dimuro
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引用次数: 0

摘要

研究过程的核心是数据。它们是科学调查的记录,支持在期刊和会议上发表的结果。在开放获取的数字存储库中提供研究数据具有许多优势,例如增加相关出版物的可见性,再现实验和验证结果。在巴西,大多数研究人员尚未接受充分和无限制地分享它们。本文提出了一项初步研究,描述了一个分析巴西研究人员对开放获取研究数据态度的模型。使用聚类算法来识别不同的研究概况。取得的结果表明了研究人员反对分享他们的数据的主要原因。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A clustering algorithm to evaluate the attitude of Brazilian researchers regarding open access research data
The core point of the research process are data. They are records from scientific investigation, which support the results published in journals and conferences. Making research data available in open access digital repositories has many advantages, such as increasing the visibility of associated publications, reproducing experiments, and validating results. In Brazil, full and unrestricted sharing of them is not yet accepted by most researchers. This paper presents an initial study to describe a model analyzing the attitude of Brazilian researchers concerning open access research data. A clustering algorithm was used to identify different research profiles. The achieved results indicate the main reasons why the researchers object to share their data.
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