The Craft and Coordination of Data Curation: Complicating Workflow Views of Data Science
The Craft and Coordination of Data Curation: Complicating Workflow Views of Data Science
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数据管理的技巧和协调:数据科学的复杂工作流程视图
DOI:
10.1145/3555139
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发表时间:
2022
影响因子:
--
通讯作者:
Yakel, Elizabeth
中科院分区:
文献类型:
--
作者:
Thomer, Andrea K.;Akmon, Dharma;York, Jeremy J.;Tyler, Allison R.;Polasek, Faye;Lafia, Sara;Hemphill, Libby;Yakel, Elizabeth
Data curation is the process of making a dataset fit-for-use and archivable. It is critical to data-intensive science because it makes complex data pipelines possible, studies reproducible, and data reusable. 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 data curators invisible but also hides the impact that curators' work has on the later usability, reliability, and reproducibility of data. To better understand the work and impact of data curation, we conducted a close examination of data curation at a large social science data repository, the Inter-university Consortium for 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 triangulated accounts of data curation from interviews and records of curation in Jira tickets to develop a rich and detailed account of curatorial work. While we identified numerous curatorial actions performed by ICPSR curators, we also found that curators rely on a number of craft practices to perform their jobs. The reality of their work practices defies the rote sequence of events implied by many life cycle or workflow models. Further, we show that craft practices are needed to enact data curation best practices and standards. The craft that goes into data curation is often invisible to end users, but it is well recognized by ICPSR curators and their supervisors. Explicitly acknowledging and supporting data curators as craftspeople is important in creating sustainable and successful curatorial infrastructures.
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DOI:
10.7591/9781501720888-003
发表时间:
2018
期刊:
Between Craft and Science
影响因子:
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2013
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ACM Trans. Inf. Syst.
影响因子:
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DOI:
10.2218/ijdc.v8i2.263
发表时间:
2013
期刊:
Int. J. Digit. Curation
影响因子:
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2007
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影响因子:
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发表时间:
2007
期刊:
Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems
影响因子:
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