交互性、分布式工作流和厚重的来源:数字人文学科研究对象面临的挑战综述

Katrina Fenlon
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引用次数: 1

摘要

尽管人文学科的数字学术发展迅速,但大多数现有的人文研究基础设施缺乏足够的支持来创建、管理、共享、维护和保存复杂的、网络化的数字对象。研究对象(RO)主要应用于科学研究工作流程,但RO模型和并行方法已经在人文学科中获得了足够的吸收,表明它们有潜力支撑可持续的、网络化的人文学科研究基础设施。本文回顾了RO人文学科中几个引人注目的应用,以及在数据共享、计算文本分析、协作注释、数字和语义发布以及领域存储库等平台中密切相关的模型。本文确定了ROs在人文学科中广泛应用所面临的挑战——这些挑战将面临人文学科数据或工作流打包和发布的任何新兴模型——并提出了在人文学科网络基础设施中实现的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interactivity, Distributed Workflows, and Thick Provenance: A Review of Challenges Confronting Digital Humanities Research Objects
Despite the rapid growth of digital scholarship in the humanities, most existing humanities research infrastructures lack adequate support for the creation, management, sharing, maintenance, and preservation of complex, networked digital objects. Research Objects (ROs) have mainly been applied to scientific research workflows, but the RO model and parallel approaches have gained enough uptake in the humanities to suggest their potential to undergird sustainable, networked humanities research infrastructure. This paper reviews several compelling applications in the humanities of RO and closely related models in platforms for data sharing, computational text analysis, collaborative annotation, digital and semantic publishing, and in domain repositories. The paper identifies challenges confronting the broad application of ROs in the humanities—which challenges will confront any emergent model for humanities data-or workflow-packaging and publication—and suggests implications for implementations in humanities cyberinfrastructure.
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