Developing collaborative best practices for digital humanities data collection: A case study
Developing collaborative best practices for digital humanities data collection: A case study
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开发数字人文数据收集的协作最佳实践：案例研究
DOI：
10.1080/10691316.2017.1326330
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发表时间：
2017
影响因子：
0.8
通讯作者：
Julia King
中科院分区：
文献类型：
--
作者：
Rachel Di Cresce;Julia King
本案例研究探讨了多伦多大学手稿研究数字工具项目的中世纪手稿学者的数据管理实践。我们选择了这个用户组，尽管他们的实践领域非常特定，因为他们在从事数字人文学科工作时面临的数据挑战代表了更广泛的社区。我们的目标是重新思考图书馆员如何在以数字人文学科（DH）为中心的环境中最好地帮助研究人员。本文首先探讨了如何在DH上下文中构思数据，以及可以为数据管理提供哪些见解。接下来，重点转移到手稿学者在库访问期间进行的数据收集和后处理活动的关键特征。在手稿学者的实践和其他人文学科之间绘制了相似之处。最后，探讨了对信息专业人员的影响，并定义了协助数字人文主义者的最佳实践。特别是，整个过程都强调社区参与，因为作者认为这是成功的必要条件。最佳实践绝不是详尽无遗的，它们旨在广泛适用于数字人文学科和图书馆员的一系列学科。未来的工作将包括通过实地测试来验证这项研究所提供的新的数据管理方法。
ABSTRACT This case study explores the data management practices of medieval manuscript scholars working on the Digital Tools for Manuscript Study project at the University of Toronto. We chose this user group, despite their incredibly domain-specific praxis, since the data challenges they face while doing digital humanities work are representative of the wider community. Our goal is to rethink how librarians can best assist researchers within a digital humanities (DH)-centered environment. This article first explores how data are conceived in the DH context and what insights can be drawn for data management. Next, focus shifts to the key characteristics of data collection and postprocessing activities carried out by manuscript scholars during repository visits. Parallels are drawn between manuscript scholar practices and those of other humanities disciplines. Finally, the implications for information professionals are explored and best practices for assisting digital humanists defined. In particular, community engagement in the process is stressed throughout, as it is the authors’ belief that it is necessary for success. The best practices are in no way exhaustive, and they are intended to be broadly applicable to a range of disciplines within the digital humanities and to librarians. Future work will involve validating a new data management approach informed by this study by testing in the field.