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A Trust Framework for Online Research Data Services

机译:在线研究数据服务的信任框架

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There is worldwide interest in the potential of open science to increase the quality, impact, and benefits of science and research. More recently, attention has been focused on aspects such as transparency, quality, and provenance, particularly in regard to data. For industry, citizens, and other researchers to participate in the open science agenda, further work needs to be undertaken to establish trust in research environments. Based on a critical review of the literature, this paper examines the issue of trust in an open science environment, using virtual laboratories as the focus for discussion. A trust framework, which has been developed from an end-user perspective, is proposed as a model for addressing relevant issues within online research data services and tools.
机译:全球范围内都对开放式科学的潜力产生了兴趣,以提高科学和研究的质量,影响和收益。最近,注意力集中在诸如透明度,质量和出处等方面,尤其是在数据方面。为了使行业,公民和其他研究人员参与开放的科学议程,需要开展进一步的工作以建立对研究环境的信任。在对文献进行批判性审查的基础上,本文以虚拟实验室为讨论重点,研究了开放科学环境中的信任问题。提出了一种从最终用户角度开发的信任框架,作为解决在线研究数据服务和工具内相关问题的模型。

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