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The Data Audit Framework: a toolkit to identify research assets and improve data management in research led institutions

机译:数据审计框架:确定研究资产并改善研究主导机构中数据管理的工具包

摘要

Although vast quantities of data are being created withinhigher education, few institutions have formal strategiesin place for curating these research outputs in the longterm. Moreover there appears to be a lack of awareness as to exactly what data are held and whether they are beingmanaged. In response to these concerns the Joint Information Systems Committee (JISC) issued a call forproposals to develop and implement a Data Audit Framework suited to the needs of the UK higher education research communities. The Data Audit Framework (DAF) Development project was funded to produce an audit methodology, online toolkit, and a registry. Four additional implementation projects were funded to test the toolkit and promote its uptake. This paper outlines the audit methodology, introduces the online toolkit, and provides feedback on implementing the Data Audit Framework.
机译:尽管在高等教育中创建了大量的数据,但是很少有机构能够制定长期的长期研究策略。此外,似乎对确切持有哪些数据以及是否对其进行管理缺乏意识。针对这些担忧,联合信息系统委员会(JISC)发出了征集建议,以制定和实施适合英国高等教育研究社区需求的数据审计框架。资助了数据审核框架(DAF)开发项目,以产生审核方法,在线工具包和注册表。为另外四个实施项目提供了资金,以测试该工具包并促进其使用。本文概述了审计方法,介绍了在线工具包,并提供了有关实施数据审计框架的反馈。

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