arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2202.04560cs.DLcs.DBcs.HC
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数据整理的工艺和协调:数据科学的复杂"工作流"视图

The craft and coordination of data curation: complicating "workflow" views of data science

Andrea K. Thomer, Dharma Akmon, Jeremy York, Allison R. B. Tyler, Faye Polasek, Sara Lafia, Libby Hemphill, Elizabeth Yakel

摘要:

数据整理是使数据集适合使用和归档的过程。它对数据密集型科学至关重要,因为它使复杂的数据管道成为可能,使研究具有可重复性,并使数据(可重用)。然而,数据整理的实践、技术和智力工作的复杂性经常被忽视或淡化。掩盖数据整理的工作不仅使数据管理者的劳动和贡献不可见;还使梳理管理者的工作对数据的后期可用性、可靠性和可重复性的影响变得更加困难。为了更好地理解数据整理的具体工作,从而探索展示策展人影响力的方法,我们在一个大型社会科学数据存储库--大学间政治和社会研究联盟(ICPSR)--对数据整理进行了仔细的研究。我们问,策展工作在ICPSR需要什么,以及在不同的背景下,不同的利益相关者或多或少可以看到什么工作?如何在整个组织中协调策展工作?我们从采访和Jira tickets策展记录中对数据整理进行三角分析,以开发出丰富而详细的策展工作。我们发现,策展人描述了一些工艺实践需要执行他们的工作,这违背了许多生命周期或工作流模型所隐含的死记硬背的事件序列。此外,我们展示了最佳实践和工艺实践是如何紧密交织在一起的。

英文摘要:

Data curation is the process of making a dataset fit-for-use and archiveable. It is critical to data-intensive science because it makes complex data pipelines possible, makes studies reproducible, and makes data (re)usable. Yet the complexities of the hands-on, technical and intellectual work of data curation is frequently overlooked or downplayed. Obscuring the work of data curation not only renders the labor and contributions of the data curators invisible; it also makes it harder to tease out the impact curators' work has on the later usability, reliability, and reproducibility of data. To better understand the specific work of data curation -- and thereby, explore ways of showing curators' impact -- we conducted a close examination of data curation at a large social science data repository, the Inter-university Consortium of Political and Social Research (ICPSR). We asked, What does curatorial work entail at ICPSR, and what work is more or less visible to different stakeholders and in different contexts? And, how is that curatorial work coordinated across the organization? We triangulate accounts of data curation from interviews and records of curation in Jira tickets to develop a rich and detailed account of curatorial work. We find that curators describe a number of craft practices needed to perform their work, which defies the rote sequence of events implied by many lifecycle or workflow models. Further, we show how best practices and craft practices are deeply intertwined.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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