Enabling scientific data sharing and re-use

B. Minsker, T. Wietsma
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引用次数: 27

Abstract

Research data sharing is one of the key challenges in the e-science era. IT technologies facilitate an enhanced management and sharing of research data. It is crucial to understand the current status of research data sharing in order to facilitate enhanced data sharing in the future. In this study, a conceptual model has been developed to characterize the process of data sharing and the factors which give rise to variations in data re-use. The study goes beyond a solely technical analysis and includes also psychological, social, organizational, legal and political components. The model was developed based on the literature and 21 face to face interviews with research, funding, data centre and publishing experts. It was validated by both a vigorous workshop and a further 55 structured telephone interviews. The overall model identifies sub-models of process, of context, and of drivers, barriers and enablers. These provide a comprehensive description of the factors that enable or inhibit the sharing of research data. They affect whether data are shared, how they are shared, and how successfully they are shared. Implementing the enablers will help the research community overcome the barriers to data re-use to facilitate future e-science endeavors.
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促进科学数据共享和再利用
科研数据共享是电子科学时代面临的主要挑战之一。资讯科技有助加强研究资料的管理和分享。了解研究数据共享的现状对于促进未来的数据共享至关重要。在本研究中,我们建立了一个概念模型来描述数据共享的过程和引起数据重用变化的因素。这项研究超越了单纯的技术分析,还包括心理、社会、组织、法律和政治方面的内容。该模型是基于文献和与研究、资助、数据中心和出版专家的21次面对面访谈而开发的。这一结论得到了一次有力的研讨会和另外55次有组织的电话采访的证实。整个模型确定了过程、上下文、驱动因素、障碍和促成因素的子模型。这些提供了一个全面的描述,使或抑制研究数据共享的因素。它们影响数据是否共享、如何共享以及共享的成功程度。实现这些使能器将帮助研究团体克服数据重用的障碍,从而促进未来的电子科学努力。
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