Data metrology -- the assessment of the quality of data -- particularly in scientific and industrial settings, has emerged as an important requirement for the UK National Physical Laboratory (NPL) and other national metrology institutes. Data provenance and data curation are key components for emerging understanding of data metrology. However, to date provenance research has had limited visibility to or uptake in metrology. In this work, we summarize a scoping study carried out with NPL staff and industrial participants to understand their current and future needs for provenance, curation and data quality. We then survey provenance technology and standards that are relevant to metrology. We analyse the gaps between requirements and the current state of the art.
翻译:数据计量 -- -- 数据质量评估 -- -- 特别是在科学和工业环境中的数据质量评估 -- -- 已成为联合王国国家物理实验室(NPL)和其他国家计量研究所的一项重要要求,数据出处和数据整理是新出现的对数据计量学认识的关键组成部分,但迄今为止,来源研究对计量学的可见度或吸收程度有限。在这项工作中,我们总结了与NPL工作人员和工业参与者进行的范围界定研究,以了解他们当前和今后对出处、整理和数据质量的需求。然后我们调查与计量学有关的出处技术和标准。我们分析了要求与当前技术现状之间的差距。