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Enabling complex analysis of large- scale digital collections: humanities research, high-performance com- puting, and transforming access to British Library digital collections

机译:能够对大型数字馆藏进行复杂的分析:人文研究,高性能计算以及转换对大英图书馆数字馆藏的访问

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摘要

Although there has been a drive in the cultural heritage sector to provide large-scale, open data sets for researchers, we have not seen a commensurate rise in humanities researchers undertaking complex analysis of these data sets for their own research purposes. This article reports on a pilot project at University College London, working in collaboration with the British Library, to scope out how best high-performance computing facilities can be used to facilitate the needs of researchers in the humanities. Using institutional data-processing frameworks routinely used to support scientific research, we assisted four humanities researchers in analysing 60,000 digitized books, and we present two resulting case studies here. This research allowed us to identify infrastructural and procedural barriers and make recommendations on resource allocation to best support non-computational researchers in undertaking 'big data' research. We recommend that research software engineer capacity can be most efficiently deployed in maintaining and supporting data sets, while librarians can provide an essential service in running initial, routine queries for humanities scholars. At present there are too many technical hurdles for most individuals in the humanities to consider analysing at scale these increasingly available open data sets, and by building on existing frameworks of support from research computing and library services, we can best support humanities scholars in developing methods and approaches to take advantage of these research opportunities.
机译:尽管文化遗产部门一直在为研究人员提供大规模的开放数据集,但是我们还没有看到人文研究人员相应地为自己的研究目的而对这些数据集进行复杂分析的情况。本文报告了伦敦大学学院与大英图书馆合作开展的一项试点项目,以探讨如何利用最佳的高性能计算设施来满足人文学科研究人员的需求。使用常规用于支持科学研究的机构数据处理框架,我们协助了四位人文研究人员分析了60,000本书,并在此提出了两个案例研究。这项研究使我们能够确定基础设施和程序障碍,并就资源分配提出建议,以最好地支持非计算研究人员进行“大数据”研究。我们建议可以最有效地利用研究软件工程师的能力来维护和支持数据集,而图书馆员则可以为人文学者提供基本的日常查询服务。目前,对于人文学科中的大多数人来说,存在太多技术障碍,无法考虑大规模分析这些日益可用的开放数据集,并且通过在研究计算和图书馆服务的现有支持框架基础上,我们可以最好地支持人文学科学者开发方法以及利用这些研究机会的方法。

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  • 来源
    《Literary & linguistic computing》 |2018年第2期|456-466|共11页
  • 作者单位

    Department of Information Studies, University College London, UK andUCL Centre for Digital Humanities, University College London, UK;

    School of History, Art History and Philosophy, University of Sussex, UK;

    Research Software Development Group, Research IT Services,University College London, UK;

    UCL Centre for Digital Humanities, University College London, UK;

    Centre for Advanced Spatial Analysis, University College London, UK;

    Department of Information Studies, University College London, UK;

    Department of Information Studies, University College London,UK, The London Library, UK;

    Department of History, University of Sheffield, UK;

    Department of Information Studies, University College London, UK;

    Digital Scholarship, British Library, UK;

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  • 正文语种 eng
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