Digging into data using new collaborative infrastructures supporting humanities-based computer science research

Michael Simeone; Jennifer Guiliano; Rob Kooper; Peter Bajcsy

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Digging into data using new collaborative infrastructures supporting humanities-based computer science research

机译：使用支持基于人文学科的计算机科学研究的新型协作基础架构来挖掘数据

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This paper explores infrastructure supporting humanities–computer science research in large–scale image data by asking: Why is collaboration a requirement for work within digital humanities projects? What is required for fruitful interdisciplinary collaboration? What are the technical and intellectual approaches to constructing such an infrastructure? What are the challenges associated with digital humanities collaborative work? We reveal that digital humanities collaboration requires the creation and deployment of tools for sharing that function to improve collaboration involving large–scale data repository analysis among multiple sites, academic disciplines, and participants through data sharing, software sharing, and knowledge sharing practices.

机译：本文提出以下问题，探讨了在大型图像数据中支持人文科学的基础设施-计算机科学研究：为什么在数字人文科学项目中协作是工作的要求？卓有成效的跨学科合作需要什么？构建这样的基础架构有哪些技术和智力方法？与数字人文科学协作工作相关的挑战是什么？我们发现，数字人文协作需要创建和部署用于共享该功能的工具，以改善协作，其中涉及通过数据共享，软件共享和知识共享实践在多个站点，学科和参与者之间进行大规模数据存储库分析。

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《First Monday》 |2011年第5期|共11页
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Michael Simeone; Jennifer Guiliano; Rob Kooper; Peter Bajcsy;
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中图分类计算机网络;
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authorshipcollaborationimage data;

机译：作者合作图像数据;

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Digging into data using new collaborative infrastructures supporting humanities-based computer science research

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