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Changing Data Policies in China: Implications for Enabling FAIR Data

机译:更改中国的数据策略:对实现公平数据的影响

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As fundamental resources of research activities, data is vitally important for scientific progress and general social society. Thus, open data practices are becoming more prevalent and the adoption of the FAIR (Findable, Accessible, Interoperable, and Reusable) principles is fostering open access data from four general perspectives. This paper firstly analyzes the general benefits and necessities of open data and the FAIR principles. Then, data policies in China are described from four views. Subsequently, challenges and opportunities for data usability across disciplinary boundaries and levels of expertise are described. Finally, categories are presented for how data policies in China enable FAIR data in terms of the four views of Chinese data policies. Above all, FAIR data is a good beginning, and for FAIR open data, we still need more efforts on intrinsic data culture, trustworthiness, sustainability, and multilateral cooperation among various stakeholders, as well as consistent and effective approaches for adopting data policies.
机译:作为研究活动的基本资源,数据对科学进步和总体社会社会至关重要。因此,开放数据实践正在变得越来越普遍,采用公平(可找到,可访问,可互操作和可重复使用的)原则是从四个一般角度培养开放访问数据。本文首先分析了开放数据和公平原则的一般福利和必需品。然后,从四个视图中描述了中国的数据策略。随后,描述了跨越纪律边界和专业水平的数据可用性的挑战和机会。最后,介绍了中国数据策略如何在中国数据政策的四个观点方面实现公平数据的类别。最重要的是,公平的数据是一个很好的开始,并且对于公平的开放数据,我们仍然需要更多地努力,对各利益攸关方之间的内在数据文化,可信度,可持续性以及多边合作以及采用数据政策的一致和有效方法。

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