Exploring Humanities Research Data in Figshare

Samia Takhtoukh
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Abstract

Purpose/Thesis: The purpose of this study is to explore the uptake and use of Figshare by humanities community and to know if opening of the research data is enough to make them visible and findable.Approach/Methods: The overall research design was to gather a sample of humanities artifacts found on Figshare through its API, and then to analyze such indicators as the number of articles by discipline, the evolution of contribution per year, and the number of views and downloads by affiliation to an institution.Results and conclusions: The humanities community engagement with Figshare varies depending on the discipline; in addition, even when research data is published, 50% is rarely viewed. This means that making research data open is not enough to make it visible and to ensure their reuse. The final conclusion is that articles affiliated to an institution have more chance to be visible than unaffiliated ones.Research limitations: The limit of our study is that it can only analyze data present in Figshare and not the data that is missing, so we cannot know the reasons for the small visibility of humanities research data; the study of other data warehouses is necessary to give more explanation, but the results con­form to the pattern visible in the data presented in several studies of research management practices.Originality/Value: The first study that explores the humanities contents the multidisciplinary data repository Figshare.
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探索Figshare中的人文研究数据
目的/论文:本研究的目的是探讨人文社区对Figshare的吸收和使用情况,并了解开放研究数据是否足以使其可见和可找到。方法/方法:总体研究设计是通过Figshare的API收集在Figshare上发现的人文文物样本,然后分析诸如按学科划分的文章数量、每年贡献的演变以及与机构的隶属关系的观看和下载数量等指标。结果和结论:人文社区对Figshare的参与程度因学科而异;此外,即使发表了研究数据,也很少有人看到其中的50%。这意味着开放研究数据不足以使其可见并确保其重用。最后的结论是,附属于一个机构的文章比不附属于机构的文章有更多的机会被看到。研究局限:我们研究的局限是只能分析Figshare中存在的数据,无法分析缺失的数据,无法了解人文学科研究数据可见性小的原因;对其他数据仓库的研究是必要的,以提供更多的解释,但结果符合在研究管理实践的几项研究中提供的数据中可见的模式。原创性/价值:首个探索多学科数据库Figshare人文内容的研究。
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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