FAIR Data Reuse – the Path through Data Citation
收藏科学数据银行2020-10-17 更新2026-04-23 收录
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资源简介：
Two figures of this paper. One of the key goals of the FAIR guiding principles is defined by its final principle – to optimize data sets for reuse by both humans and machines. To do so, data providers need to implement and support consistent machine readable metadata to describe their data sets. This can seem like a daunting task for data providers, whether it is determining what level of detail should be provided in the provenance metadata or figuring out what common shared vocabularies should be used. Additionally, for existing data sets it is often unclear what steps should be taken to enable maximal, appropriate reuse. Data citation already plays an important role in making data findable and accessible, providing persistent and unique identifiers plus metadata on over 16 million data sets. In this paper, we discuss how data citation and its underlying infrastructures, in particular associated metadata, provide an important pathway for enabling FAIR data reuse. Figure 1 shows an example data citation. Figure 2 shows an example DataCite metadata.
提供机构：
DataCite; University of Virginia; University of Amsterdam; The University of Manchester
创建时间：
2020-10-17
