回应现实:不断发展的策展实践和基础设施,伊利诺伊大学厄巴纳-香槟分校

Hoa Q. Luong, Colleen Fallaw, Genevieve Schmitt, S. Braxton, Heidi J. Imker
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引用次数: 2

摘要

目的:伊利诺伊州数据库为伊利诺伊州的研究人员提供了公开发布研究数据的基础设施。在伊利诺伊大学厄巴纳-香槟分校对研究数据服务进行的五年审查中,它被认为是该部门最有用的服务。内部指标被捕获并用于监控增长、文档管理工作流程,以及在我们协助研究人员时面临的表面技术挑战。在这里,我们将展示这些策展挑战的例子以及选择解决这些挑战的解决方案。方法:伊利诺斯数据银行的一些指标是在系统内部收集的,但这里报告的大多数管理指标是在谷歌电子表格中单独跟踪的。管理完成后,管理器记录每个数据集所需的信息。虽然数据有时是模糊的(例如,取决于研究人员对建议操作的理解),但我们的管理数据提供了对我们的数据存储库的一般理解,并在评估我们的工作流程和服务时非常有用。这些指标也有助于伊利诺伊数据银行优先考虑开发需求。结果与结论:策展服务对数据集进行了润色和完善,有助于弘扬数据重用精神。尽管我们在流程中不断遇到挑战,但管理对数据集产生了积极的影响。技术基础设施的持续开发和调整为管理员和用户提供了更好的体验。这些改进帮助我们的存储库更有效地支持数据共享过程,成功地促进了存款人与管理员的互动,以改进数据集,并促进了超大文件的轻松传输。
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Responding to Reality: Evolving Curation Practices and Infrastructure at the University of Illinois at Urbana-Champaign
Objective: The Illinois Data Bank provides Illinois researchers with the infrastructure to publish research data publicly. During a five-year review of the Research Data Service at the University of Illinois at Urbana-Champaign, it was recognized as the most useful service offering in the unit. Internal metrics are captured and used to monitor the growth, document curation workflows, and surface technical challenges faced as we assist our researchers. Here we present examples of these curation challenges and the solutions chosen to address them. Methods: Some Illinois Data Bank metrics are collected internally by within the system, but most of the curation metrics reported here are tracked separately in a Google spreadsheet. The curator logs required information after curation is complete for each dataset. While the data is sometimes ambiguous (e.g., depending on researcher uptake of suggested actions), our curation data provide a general understanding about our data repository and have been useful in assessing our workflows and services. These metrics also help prioritize development needs for the Illinois Data Bank. Results and Conclusions: The curatorial services polish and improve the datasets, which contributes to the spirit of data reuse. Although we continue to see challenges in our processes, curation makes a positive impact on datasets. Continued development and adaptation of the technical infrastructure allows for an ever-better experience for the curators and users. These improvements have helped our repository more effectively support the data sharing process by successfully fostering depositor engagement with curators to improve datasets and facilitating easy transfer of very large files.
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