构建数据集背后的图片

Frances Madden, J. Ashton, J. Cope
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引用次数: 0

摘要

作为欧盟委员会资助的FREYA项目的一部分,大英图书馆希望探索从大英图书馆的馆藏data.bl.uk收集的数据集中开发出处信息的可能性。在这种情况下,来源信息被定义为“与数据集的起源、来源和管理有关的信息”。在FAIR原则中,来源信息也被确定为能够重用和理解研究数据集的一个重要方面。根据FAIR原则,目标是了解如何引用和确认数据集,以及了解数据集是如何创建和处理的。这里还提到了元数据机器可读的重要性。通过使用额外的持久标识符和元数据增强这些数据集的元数据,可以更全面地了解数据集及其内容。这也增加了data.bl.uk的最终用户对数据集的准确性和理解。
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Building the Picture Behind a Dataset
As part of the European Commission funded FREYA project The British Library wanted to explore the possibility of developing provenance information in datasets derived from the British Library’s collections, the data.bl.uk collection. Provenance information is defined in this context as ‘information relating to the origin, source and curation of the datasets’. Provenance information is also identified within the FAIR principles as an important aspect of being able to reuse and understand research datasets. According to the FAIR principles, the aim is to understand how to cite and acknowledge the dataset as well as understanding how the dataset was created and has been processed. There is also reference to the importance of this metadata being machine readable. By enhancing the metadata of these datasets with additional persistent identifiers and metadata a fuller picture of the datasets and their content could be understood. This also adds to the veracity and understanding the dataset by end users of data.bl.uk.
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Reproducible and Attributable Materials Science Curation Practices: A Case Study Trusted Research Environments: Analysis of Characteristics and Data Availability Preserving Secondary Knowledge Factors Influencing Perceptions of Trust in Data Infrastructures Assessing Quality Variations in Early Career Researchers’ Data Management Plans
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