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首页> 外文期刊>International Journal of Digital Curation >Here, KAPTUR This! Identifying and Selecting the Infrastructure Required to Support the Curation and Preservation of Visual Arts Research Data
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Here, KAPTUR This! Identifying and Selecting the Infrastructure Required to Support the Curation and Preservation of Visual Arts Research Data

机译:在这里,KAPTUR!识别和选择支持视觉艺术研究数据的整理和保存所需的基础结构

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Research data is increasingly perceived as a valuable resource and, with appropriate curation and preservation, it has much to offer learning, teaching, research, knowledge transfer and consultancy activities in the visual arts. However, very little is known about the curation and preservation of this data: none of the specialist arts institutions have research data management policies or infrastructure and anecdotal evidence suggests that practice is ad hoc, left to individual researchers and teams with little support or guidance. In addition, the curation and preservation of such diverse and complex digital resources as found in the visual arts is, in itself, challenging. Led by the Visual Arts Data Service, a research centre of the University for the Creative Arts, in collaboration with the Glasgow School of Art; Goldsmiths College, University of London; and University of the Arts London, and funded by JISC, the KAPTUR project (2011-2013) seeks to address the lack of awareness and explore the potential of research data management systems in the arts by discovering the nature of research data in the visual arts, investigating the current state of research data management, developing a model of best practice applicable to both specialist arts institutions and arts departments in multidisciplinary institutions, and by applying, testing and piloting the model with the four institutional partners. Utilising the findings of the KAPTUR user requirement and technical review, this paper will outline the method and selection of an appropriate research data management system for the visual arts and the issues the team encountered along the way.
机译:研究数据越来越被视为一种宝贵的资源,通过适当的策展和保存,研究数据可以为视觉艺术提供学习,教学,研究,知识转移和咨询活动。但是,对于这些数据的管理和保存知之甚少:没有一家专业艺术机构拥有研究数据管理政策或基础设施,而且轶事证据表明,这种实践是临时性的,留给个别研究人员和团队,几乎没有支持或指导。另外,视觉艺术中所发现的这种多样化和复杂的数字资源的管理和保存本身也具有挑战性。由视觉艺术数据服务局(Visual Arts Data Service)领导,这是创意艺术大学的研究中心,与格拉斯哥艺术学院合作;伦敦大学金史密斯学院;由JISC资助的伦敦艺术大学和KAPTUR项目(2011-2013年)旨在通过发现视觉艺术中研究数据的性质来解决认识不足的问题,并探索艺术中研究数据管理系统的潜力,调查研究数据管理的当前状态,开发适用于专业艺术机构和多学科机构中的艺术部门的最佳实践模型,并与四个机构合作伙伴一起应用,测试和试行该模型。利用KAPTUR用户需求和技术审查的结果,本文将概述视觉艺术的方法和选择合适的研究数据管理系统以及团队在此过程中遇到的问题。

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