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How to Improve Research Data Management The Case of Sciebo (Science Box)

机译:如何改善研究数据管理Sciebo(科学盒)案例

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The digitalization of research processes has led to a vast amount of data. Since third-party funding institutions progressively set standards and requirements regarding the handling of such data, research data management has become important in the context of international research collaboration projects. Simultaneously, adequate collaboration systems are needed to support scientists in this context. In this paper we discuss existing standards for research data management in the context of third-party funding and how cloud technology could support the fulfillment of existing provisions.
机译:研究过程的数字化带来了大量数据。由于第三方资助机构逐步制定了有关此类数据处理的标准和要求,因此研究数据管理在国际研究合作项目的背景下变得非常重要。同时,需要有足够的协作系统来在这种情况下为科学家提供支持。在本文中,我们讨论了在第三方资助的背景下研究数据管理的现有标准,以及云技术如何支持现有规定的实现。

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